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# Indian Journal of Artificial Intelligence and Neural Networking (IJAINN): The aim of the IJAINN is to disseminate high-quality, peer-reviewed original articles in the area of Artificial Intelligence and Neural Networking.

## Sitemaps
[XML Sitemap](https://www.ijainn.latticescipub.com/sitemap_index.xml): Includes all crawlable and indexable pages.

## Pages
- [Published in Year 2026](https://www.ijainn.latticescipub.com/published-in-year-2026/)
- [Generative AI Tools or Chatbots](https://www.ijainn.latticescipub.com/generative-ai-tools/): Generative AI Tools or Chatbots:
- [Diversity, Equity, Inclusivity, and Accessibility (DEIA)](https://www.ijainn.latticescipub.com/diversity-equity-inclusivity-and-accessibility-deia/): Diversity, Equity, Inclusivity, and Accessibility (DEIA):
- [Complaints and Appeals](https://www.ijainn.latticescipub.com/complaints-and-appeals/): Complaints and Appeals:
- [Published in Year 2025](https://www.ijainn.latticescipub.com/published-in-year-2025/)
- [Published in Year 2024](https://www.ijainn.latticescipub.com/published-in-year-2024/)
- [Advertising and Content Display](https://www.ijainn.latticescipub.com/advertising-and-content-display/): The Journal reserves the right to reject ads that conflict with its mission or values and to review all ads. Advertising for alcohol, tobacco, weapons, gambling, and other topics is prohibited. Advertisers must provide proof to support their claims, and FDA-disapproved health claims require a disclaimer. Advertisements must be distinguishable from editorial content. Online ads with pop-ups, information collection without permission, and automatic redirection are prohibited. Policies may change without notice2,3.
- [Responsibilities and Selection Process of the Editorial Board](https://www.ijainn.latticescipub.com/responsibilities-and-selection-process-of-the-editorial-board/): The Editor-in-Chief selects the Editorial Board with input from the publisher. The Board undergoes revisions every 2-3 years, with members joining, stepping down, or continuing. The Board includes various positions, including Associate Editor, General Editor, and Editor-in-Chief. The Editorial Board needs to be geographically diverse, trustworthy, and firm for the journal's progress. Geographic diversity, expertise, and research excellence are considered when selecting editors. Previous authors, Peer Reviewers, and Guest editors can also be appointed in the pool of reviewers. The responsibilities of board members are clearly outlined, and the post is voluntary and unpaid2,3. 
- [Journal Metrics](https://www.ijainn.latticescipub.com/journal-metrics/): Journal Metrics:
- [Archiving](https://www.ijainn.latticescipub.com/archiving-policy/): Archiving:
- [Imprint](https://www.ijainn.latticescipub.com/imprint/): Full Journal Title: Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) ISSN: 2582-7626 (Online) Publisher: Lattice Science Publication (LSP) Publisher Location: India. Postal Address: Lattice Science Publication (LSP), # G-20, Block-A, Tirupati Abhinav Commercial Campus, Tirupati Abhinav Homes, Ayodhya Bypass Road, Damkheda, Bhopal (Madhya Pradesh)-462037, India. Editors: Editorial Board Publication Frequency: Bi-Monthly Publication Medium: Online (Electronic Only) Publication Website: www.ijainn.latticescipub.com First Year Published: 2020 Indexing Databases: Indexing & Abstracting Journal DOI: https://doi.org/10.54105/ijainn Publication Language: English Primary Field: Artificial Intelligence and Neural Networking Archive: https://www.ijainn.latticescipub.com/archive/ CrossRef: Yes Guidelines for Authors: https://www.ijainn.latticescipub.com/instruction-for-authors/ Editorial and Publishing Policies: https://www.ijainn.latticescipub.com/ethics-policies/ Publisher License under: CC-BY-NC-ND 4.0
- [Citations](https://www.ijainn.latticescipub.com/citation/): Citations:
- [Declaration Statement](https://www.ijainn.latticescipub.com/declaration-statement/): Declaration Statement:
- [Correction, Retraction, and Post Publication](https://www.ijainn.latticescipub.com/corrections-retractions-removal-and-republications/): Correction, Retraction, and Post Publication:
- [Image Integrity and Standards](https://www.ijainn.latticescipub.com/image-integrity-and-standards/): Image Integrity and Standards:
- [Repositories](https://www.ijainn.latticescipub.com/repositories/): Repository:
- [Code of Conduct for Medical Ethics: Clinical Trials, Nomenclatures, and Abbreviations](https://www.ijainn.latticescipub.com/code-of-conduct-for-medical-ethics/): Code of Conduct for Medical Ethics - Clinical Trials, Nomenclatures, and Abbreviations:
- [Authorship](https://www.ijainn.latticescipub.com/authorship/): Authorship:
- [Published in Year 2023](https://www.ijainn.latticescipub.com/published-in-year-2023/)
- [Consent to Participate/Consent to Publish](https://www.ijainn.latticescipub.com/consent-to-participate-consent-to-publish/): Consent to Participate/Consent to Publish: Authors should note that: Study participant names (and other personally identifiable information) must be removed from all text/figures/tables/images. The use of colored bars/shapes or blurring to obscure the eyes/facial region of study participants is not an acceptable means of anonymization. For articles that include information or images that could lead to identification of a study participant, in the Methods section must include a statement that confirms informed consent was obtained to publish the information/image(s) in an online open access publication.
- [Competing Interests/ Conflicts of Interest](https://www.ijainn.latticescipub.com/competing-interests/): Competing Interests/ Conflicts of Interest:
- [Frequently Asked Questions (FAQ)](https://www.ijainn.latticescipub.com/faq/): Authors must read the FAQ first before submitting any query.
- [Important Dates](https://www.ijainn.latticescipub.com/dates/): Authors can electronically submit articles throughout the year using the Article Submission System. Authors can format their article either in (i) a single-column format or (ii) as per the journal template. The submitted articles should not have been previously published or are currently under consideration for publication elsewhere. The journal does not accept brief or short notes for publication. The editors retain the right to reject any articles that lack quality or originality without sending them for review. All articles must fall within the journal's scope and will undergo a double-anonymized peer-review process. Authors must confirm that they have read and understood the content of their submitted article and ensure that it meets acceptable English grammar and usage standards. To help with the proofreading process, authors can use tools like Grammarly or similar applications. As an open-access journal, authors must pay an Article Processing Charge (APC) to publish their articles and retain copyright. Additionally, authors should familiarise themselves with the editorial and publishing policies of the journal.
- [Published in Year 2022](https://www.ijainn.latticescipub.com/published-in-year-2022/)
- [Material Availability and Data Access Statement](https://www.ijainn.latticescipub.com/availability-of-data-and-material/): Material Availability and Data Access Statement:
- [Confidentiality and Privacy](https://www.ijainn.latticescipub.com/confidentiality-policy/): Confidentiality and Privacy:
- [Acknowledgements](https://www.ijainn.latticescipub.com/acknowledgements/): Acknowledgements:
- [Published in Year 2021](https://www.ijainn.latticescipub.com/published-in-year-2021/)
- [Published in Year 2020](https://www.ijainn.latticescipub.com/published-in-year-2020/)
- [Misconduct/ Plagiarism](https://www.ijainn.latticescipub.com/plagiarism-policy/): Misconduct/ Plagiarism:
- [Peer Review](https://www.ijainn.latticescipub.com/peer-review-policy/): Peer Review:
- [Open Access Publishing](https://www.ijainn.latticescipub.com/open-access-license/): Open Access Publishing:
- [Guidelines for Authors](https://www.ijainn.latticescipub.com/instruction-for-authors/): Guidelines for Authors:
- [Indexing and Abstracting](https://www.ijainn.latticescipub.com/indexing/): It is crucial to comprehend that the decision to add an article to an indexing and abstracting database, such as Scopus, is solely made by the team and not the Indian Journal of Artificial Intelligence and Neural Networking (IJAINN). Therefore, the Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) has no authority over whether an article is accepted or rejected for inclusion in the database. Furthermore, the Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) does not affect the required processing time of an article for inclusion in the indexing and abstracting database. The indexing and abstracting details of the journal are given below:
- [HOME](https://www.ijainn.latticescipub.com/): The aim of the IJAINN is to disseminate high-quality, peer-reviewed original articles in the area of Artificial Intelligence and Neural Networking.
- [Editorial and Publishing Policies](https://www.ijainn.latticescipub.com/ethics-policies/): The IJAINN follow the principles established by the Committee on Publication Ethics (COPE), available at https://publicationethics.org/core-practices.
- [EDITORIAL BOARD](https://www.ijainn.latticescipub.com/editorial-board/): The IJAINN invites individuals to join the editorial board by submitting a membership form to express their interest and qualifications.
- [DOWNLOAD](https://www.ijainn.latticescipub.com/download/): Authors can download following items as per their requirements:
- [Intellectual Property](https://www.ijainn.latticescipub.com/copyright-grants-and-ownership-declaration/): These permissions are granted under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License. The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) encourage users to share and disseminate the work, providing appropriate credit to the original authors and refraining from altering or using the content commercially. This inclusive approach allows a broader audience to benefit from shared knowledge.
- [CONTACT](https://www.ijainn.latticescipub.com/contact/): The author can submit the below form for any query. Each query will be resolved within 72 hours.
- [CALL FOR PAPERS](https://www.ijainn.latticescipub.com/call-for-papers/): Dear Professor, | Scientist | Scholar, You are invited to submit original research article (s) as per your research expertise. Article (s) can be submitted from the journal website by using the ‘Article Submission System’ throughout the year if: Plagiarism of the article is less than 15%, including references. The article is within the scope of the journal. The article is original and result-oriented. For more detailed information, please visit ‘Guidelines for Authors’.  Important Dates-  Articles Submission Open for Volume-6 Issue-5, August 2026  Last Date of Article Submission: 30 July 2026 Date of Notification: 15 August 2026 Date of Publication: 30 August 2026
- [Article Submission System](https://www.ijainn.latticescipub.com/article-submission-system/): If there is any problem in uploading the article through the form given below, the author can also email the article to support@latticescipub.com with the following details: Your name, Mobile No, WhatsApp No, Country Name, Email, Other email (optional), Scope of the article, Author(s) Name (Min-01, Max 05), Title of the Article, Name of the journal.
- [Article Processing Charge (APC)](https://www.ijainn.latticescipub.com/article-processing-charge-apc-policy/): Authors must pay a fixed APC to publish their articles in the journal to retain copyright. The APC is payable only upon acceptance, not before or upon rejection.
- [ARCHIVE](https://www.ijainn.latticescipub.com/archive/): The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) publish two types of issues: (1) Regular Issues and (2) Theme-Based Special Issues (announced from time to time). The Authors may submit articles electronically throughout the year using the Article Submission System. After the final acceptance of the article, based upon the detailed review process, the article will immediately be published online. For Theme Based Special Issues, time-bound special calls for articles will be announced. Authors are allowed to download published articles. The articles published in the Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) are open-access and accessible online without subscription fees as soon as it is published.
- [AIM AND SCOPE](https://www.ijainn.latticescipub.com/aims-and-scope/): IJAINN covers a broad range of topics in Artificial Intelligence and Neural Networking.

## Downloads
- [Volume-6 Issue-1, December 2025](https://www.ijainn.latticescipub.com/download/volume-6-issue-1/): Editor-In-Chief
- [Volume-5 Issue-6, October 2025](https://www.ijainn.latticescipub.com/download/volume-5-issue-6/): Editor-In-Chief
- [Volume-5 Issue-5, August 2025](https://www.ijainn.latticescipub.com/download/volume-5-issue-5/): Editor-In-Chief
- [Volume-5 Issue-3, April 2025](https://www.ijainn.latticescipub.com/download/volume-5-issue-3/): Editor-In-Chief
- [Volume-5 Issue-2, February 2025](https://www.ijainn.latticescipub.com/download/volume-5-issue-2/): Editor-In-Chief
- [Volume-5 Issue-1, December 2024](https://www.ijainn.latticescipub.com/download/volume-5-issue-1/): Editor-In-Chief
- [Volume-4 Issue-6, October 2024](https://www.ijainn.latticescipub.com/download/volume-4-issue-6/): Editor-In-Chief
- [Volume-4 Issue-4, June 2024](https://www.ijainn.latticescipub.com/download/volume-4-issue-4/): Editor-In-Chief
- [Volume-4 Issue-3, April 2024](https://www.ijainn.latticescipub.com/download/volume-4-issue-3/): Editor-In-Chief
- [Volume-4 Issue-2, February 2024](https://www.ijainn.latticescipub.com/download/volume-4-issue-2/): Editor-In-Chief
- [Volume-4 Issue-1 December 2023](https://www.ijainn.latticescipub.com/download/volume-4-issue-1/): Editor-In-Chief
- [Volume-3 Issue-6 October 2023](https://www.ijainn.latticescipub.com/download/volume-3-issue-6/): Editor-In-Chief
- [Volume-3 Issue-5 August 2023](https://www.ijainn.latticescipub.com/download/volume-3-issue-5/): Editor-In-Chief
- [Volume-3 Issue-4 June 2023](https://www.ijainn.latticescipub.com/download/volume-3-issue-4/): Editor-In-Chief
- [Volume-3 Issue-3 April 2023](https://www.ijainn.latticescipub.com/download/volume-3-issue-3/): Editor-In-Chief
- [Volume-3 Issue-2 February 2023](https://www.ijainn.latticescipub.com/download/volume-3-issue-2/): Editor-In-Chief
- [Volume-3 Issue-1, December 2022](https://www.ijainn.latticescipub.com/download/volume-3-issue-1/): Editor-In-Chief
- [Volume-2 Issue-6, October 2022](https://www.ijainn.latticescipub.com/download/volume-2-issue-6/): Editor-In-Chief
- [Volume-2 Issue-5, August 2022](https://www.ijainn.latticescipub.com/download/volume-2-issue-5/): Editor-In-Chief
- [Volume-2 Issue-4, June 2022](https://www.ijainn.latticescipub.com/download/volume-2-issue-4/): Editor-In-Chief
- [Volume-2 Issue-3, April 2022](https://www.ijainn.latticescipub.com/download/volume-2-issue-3/): Editor-In-Chief
- [Volume-2 Issue-2, February 2022](https://www.ijainn.latticescipub.com/download/volume-2-issue-2/): Editor-In-Chief
- [Volume-2 Issue-1 December 2021](https://www.ijainn.latticescipub.com/download/volume-2-issue-1/): Editor-In-Chief
- [Volume-1 Issue-5, December 2021](https://www.ijainn.latticescipub.com/download/volume-1-issue-5/): Editor-In-Chief
- [Volume-1 Issue-6 October 2021](https://www.ijainn.latticescipub.com/download/volume-1-issue-6/): Editor-In-Chief
- [Volume-1 Issue-4, August 2021](https://www.ijainn.latticescipub.com/download/volume-1-issue-4/): Editor-In-Chief
- [Volume-1 Issue-3, June 2021](https://www.ijainn.latticescipub.com/download/volume-1-issue-3/): Editor-In-Chief
- [Volume-1 Issue-2, April 2021](https://www.ijainn.latticescipub.com/download/volume-1-issue-2/): Editor-In-Chief
- [Volume-1 Issue-1, December 2020](https://www.ijainn.latticescipub.com/download/volume-1-issue-1/): Editor-In-Chief

## Portfolio Items
- [A111206011225](https://www.ijainn.latticescipub.com/portfolio-item/a111206011225/): Conversational AI is becoming an essential tool for supporting mental health, yet there are still few robust evaluation frameworks for large-scale therapeutic dialogue datasets. This study presents a comprehensive analysis of the MentalChat16K dataset, which contains 16,084 mental health conversation pairs (6,338 real clinical interviews and 9,746 synthetic dialogues), using modern deep learning architectures. We develop and evaluate BERT-based text classification models and featureengineered neural networks for mental health conversation analysis. Our BERT classifier achieves 86.7% accuracy and 86.1% F1-score for sentiment-based mental health state classification. A feature-based neural network achieves 86.7% accuracy and 83.5% F1 Score for therapeutic response type prediction. In addition, five-fold cross-validation with a Random Forest classifier on engineered features yields 99.99% ± 0.02% accuracy. We show that this very high performance is driven by practical feature engineering on a more straightforward classification task, distinct from the primary BERT and neural network models. We further perform statistical significance testing using McNemar’s test and bootstrap confidence intervals, confirming that model performance differences are statistically significant (p < 0.05). Performance on real versus synthetic data is comparable (100.0% vs 99.95%), suggesting robustness across data sources. The dataset consists of 39.4% real clinical interviews and 60.6% GPT-3.5-generated conversational-stations; a demographic analysis highlights the lack of explicit demographic labels and the resulting limitations. Our methodology includes domain-optimised BERT architectures, thorough hyperparameter documentation, and a stratified cross-validation framework. GPU-accelerated experiments provide practical insights for deploying such models in workplace mental health systems. Overall, this study establishes performance benchmarks for conversational mental health AI with promising accuracy levels for research and development, while emphasising the need for independent clinical validation before any real-world use. This work contributes to the growing field of AI-powered mental health support technologies. Keywords: Mental Health, Conversational AI, BERT, Neural Networks, Therapeutic Communication, Sentiment Analysis, Deep Learning, MentalChat16K.
- [A110906011225](https://www.ijainn.latticescipub.com/portfolio-item/a110906011225/): Rapid advances in Artificial Intelligence (AI) have led to autonomous agents that not only respond to humans but also interact directly with other AI agents. They are not just exchanging information but also making decisions, collaborating, and even competing as they transform several business functions. As a result, the emerging field of AI-to-AI interaction poses significant challenges around how agents collaborate and how their decisions impact business outcomes. Most existing AI agents depend on strict, rule-based communication. This approach falls short when context changes dynamically, new situations emerge, or conflicting priorities arise amongst the agents. Our research addresses these critical gaps identified through a systematic review of multi-agent systems, communication models, and interaction design. Building on the insights from our multiple-case study research on HumanAI interaction, we developed the Meta Framework for AI-to-AI Interaction (MAI²). This framework is devised around six interconnected layers that make AI-to-AI interaction reliable and trustworthy. The aspirational layer of the framework establishes the agents’ goals and values, the cognitive layer supports reasoning and real-world perception, and the strategic layer focuses on planning and execution. The governance layer ensures the system remains accountable through oversight. The synchronisation layer ensures that different agents work together smoothly. The interactional layer handles the nuts-and-bolts of communication. These layers, together, outline how AI agents collaborate, coordinate, and remain aligned with human values and expectations. MAI² is designed to enable AI agents to learn from each other, evolve together, and adapt over time to collaborate responsibly and effectively. This paper aims to advance AI-to-AI interaction by providing a structured starting point while acknowledging the limitations of its validation across diverse professional contexts.
- [F110605061025](https://www.ijainn.latticescipub.com/portfolio-item/f110605061025/): irfanalidv@outlook.comIrfan Ali, Researcher, Department of Data Science & Artificial Intelligence, Indian Institute of Science Education and Research (IISER), Tirupati, (Andhra Pradesh), India.   
- [F110705061025](https://www.ijainn.latticescipub.com/portfolio-item/f110705061025/): ac.azubogu@unizik.edu.ng3Prof. Augustine C.O. Azubogu, Department of Electronic and Computer Engineering, Nnamdi Azikiwe University, Awka (Anambra), Nigeria.   
- [F110505061025](https://www.ijainn.latticescipub.com/portfolio-item/f110505061025/): reeshabh.choudhary@eversana.comReeshabh Choudhary, Senior Technical Architect, Department of Automation COE, Company Name: Eversana, India.    
- [E110405050825](https://www.ijainn.latticescipub.com/portfolio-item/e110405050825/): szaheerhasan2001@yahoo.com4Dr. Syed Zaheer Hasan, Gujarat Energy Research and Management Institute, First Floor, Energy Building, PDEU Campus, Raisan, Gandhinagar (Gujarat), India.   
- [E110005050825](https://www.ijainn.latticescipub.com/portfolio-item/e110005050825/): ravi92sr@gmail.comRavishankar S R, Department of Computer Science Engineering, Independent Researcher, Chennai (Tamil Nadu), India.  
- [C109805030425](https://www.ijainn.latticescipub.com/portfolio-item/c109805030425/): rabrol26@gmail.comRaghav Abrol, Researcher, Department of CSAI, NSUT, New Delhi, India.   
- [B109505020225](https://www.ijainn.latticescipub.com/portfolio-item/b109505020225/): vinitayedavekute@gmail.com5Prof. Vinita Kute, Bhivarabai Sawant Institute of Technology and Research (BSIOTR), Pune (Maharashtra), India.   
- [C1063043323](https://www.ijainn.latticescipub.com/portfolio-item/c1063043323/): mohanraj4072@gmail.com3Mohanraj V, Machine Learning Lead, Standard Chartered Bank, Chennai (Tamil Nadu), India.  
- [F109204061024](https://www.ijainn.latticescipub.com/portfolio-item/f109204061024/): i.netay@kryptonite.ruAIgor V. Netay, JSRPC Kryptonite and Institute for Information Transmission Problems of Russian Academy of Sciences, Moscow, Russia. 
- [F109104061024](https://www.ijainn.latticescipub.com/portfolio-item/f109104061024/): director.smeh@mriu.edu.in2Dr. Shivani Vashist, Department of English, Manav Rachna International Institute of Research & Studies, Faridabad (Haryana), India.  
- [B39041212222](https://www.ijainn.latticescipub.com/portfolio-item/b39041212222/): 3Dr. Sudhaker Upadhyay, Assistant Professor and Head, Department of Physics, K.L.S. College, Nawada (Bihar), India. 
- [D108904040624](https://www.ijainn.latticescipub.com/portfolio-item/d108904040624/): vIgraanth@kristujayanti.com2Vigraanth Bapu K.G, Assistant Professor, Department of Psychology, Kristu Jayanti College, Bangalore (Karnataka), India. 
- [C108604030424](https://www.ijainn.latticescipub.com/portfolio-item/c108604030424/): Manuscript received on 01 February 2024 | Revised Manuscript received on 09 February 2024 | Manuscript Accepted on 15 April 2024 | Manuscript published on 30 May 2024 | PP: 1-5 | Volume-4 Issue-3, April 2024 | Retrieval Number: 100.1/ijainn.C108604030424 | DOI: 10.54105/ijainn.C1086.04030424
- [B108404020224](https://www.ijainn.latticescipub.com/portfolio-item/b108404020224/): Manuscript received on 08 January 2024 | Revised Manuscript received on 17 January 2024 | Manuscript Accepted on 15 February 2024 | Manuscript published on 30 May 2024 | PP: 8-10 | Volume-4 Issue-2, February 2024 | Retrieval Number: 100.1/ijainn.B108404020224 | DOI: 10.54105/ijainn.B1084.04020224
- [F95170512623](https://www.ijainn.latticescipub.com/portfolio-item/f95170512623/): bvl@gvpcew.ac.in3Balantrapu Vijaya Lakshmi, Associate Professor, Department of Electronics and Communication Engineering, GVP College of Engineering for Women, Visakhapatnam (A.P), India. 
- [A108204011223](https://www.ijainn.latticescipub.com/portfolio-item/a108204011223/): sudaman.katti19@vit.edu3Sudaman Katti, Department of Mechanical Engineering, MIT WPU, Pune (Maharashtra), India.  
- [F95510512623](https://www.ijainn.latticescipub.com/portfolio-item/f95510512623/): eliladislas@gmail.comDr. Elias Semajeri Ladislas, Department of Computer Networks, Université Adventiste de Goma. 
- [A1080124123](https://www.ijainn.latticescipub.com/portfolio-item/a1080124123/): rohan.katha@students.iiit.ac.inKatha Rohan Reddy, Department of Computer Science, Beside TCS Synergy Park, Gachibolwi, IIITH, Hyderabad (Telangana), India. 
- [A1078124123](https://www.ijainn.latticescipub.com/portfolio-item/a1078124123/): Manuscript received on 16 October 2023 | Revised Manuscript received on 13 December 2023 | Manuscript Accepted on 15 December 2023 | Manuscript published on 30 December 2023 | PP: 5-10 | Volume-4 Issue-1, December 2023 | Retrieval Number: 100.1/ijainn.A1078124123 | DOI: 10.54105/ijainn.A1078.124123
- [A1077124123](https://www.ijainn.latticescipub.com/portfolio-item/a1077124123/): hrajeev@lincoln.edu.my1Haritha Rajeev, Research Scholar, Department of Computer Science and Multimedia, Lincoln University College, Malaysia. 
- [D1066063423](https://www.ijainn.latticescipub.com/portfolio-item/d1066063423/): sayantang28@gmail.com2Sayantan Ghosh, Performance-io LLP, Kolkata (West Bengal), India.
- [B1024021221](https://www.ijainn.latticescipub.com/portfolio-item/b1024021221/): annyleema.a@vit.ac.in 2Anny Leema A, Associate Professor, School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore (Tamil Nadu), India. 
- [B1044022222](https://www.ijainn.latticescipub.com/portfolio-item/b1044022222/): gm4489@srmist.edu.in 5M. Gowtham Sethupathi, Research Scholar, Department of Computer Science and Engineering, SRM Institute of Science & Technology, Ramapuram (Tamil Nadu), India.
- [F1072103623](https://www.ijainn.latticescipub.com/portfolio-item/f1072103623/): C.Sibi@hw.ac.uk3Dr. Sibi Chacko, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK.
- [E1071083523](https://www.ijainn.latticescipub.com/portfolio-item/e1071083523/): president@poornima.edu.in2Dr Suresh Chandra Padhy, President (Vice Chancellor) Poornima University, Ramchandrapura, P.O. Vidhani Vatika Sitapura Extention, Jaipur, Rajasthan, India.
- [D1070063423](https://www.ijainn.latticescipub.com/portfolio-item/d1070063423/): 2Yoshihisa Fukuhara, Musashino University, Department of Data Science, 3-3-3 Ariake, Koto-Ku, Tokyo, Japan.
- [A38221012122](https://www.ijainn.latticescipub.com/portfolio-item/a38221012122/): durgscalls@gmail.com2Mrs. Durga Mahato, Research Scholar, Department of Computer Science and Engineering, APJ Abdul Kalam University, Indore (M.P), India.
- [B39181212222](https://www.ijainn.latticescipub.com/portfolio-item/b39181212222/): tm.ku.finance@gmail.com2Dr. Tuhin Mukherjee, Department of Business Administration, University of Kalyani, West Bengal, India.
- [B38731212222](https://www.ijainn.latticescipub.com/portfolio-item/b38731212222/): guduri.srija@gmail.com2Srija Padmini Guduri, Department of Computer Science and Engineering, Shri Vishnu Engineering College for women, Bhimavaram (A.P), India.
- [D40710412423](https://www.ijainn.latticescipub.com/portfolio-item/d40710412423/): Home Surveillance and Alert System using Raspberry Pi Zero W and GSM Modem with MQTT Protocol Mekecha Banchigize Bazezew banwoman@gmail.comMekecha Banchigize Bazezew, Department of Automated Control Systems, National University of Science and Technology, Moscow, Russia.  Manuscript received on 02 February 2023 | Revised Manuscript received on 12 February 2023 | Manuscript Accepted on 15 February 2023 | Manuscript published on 28 February 2023| PP: 1-7 | Volume-3 Issue-2, February 2023 | Retrieval Number: 100.1/ijainn.D40710412423 | DOI: 10.54105/ijainn.D4071.023223 Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting © The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Abstract: Today’s modern era has made it essential for everyone, even for the privacy of their homes, to have controllable, affordable, and easy-to-use security systems. The creation of a cost-effective, straightforward, and feature-rich home security alarm system using a Raspberry Pi Zero W microprocessor and MQTT protocol is discussed in this paper. The proposed system is primarily intended for outlying areas with limited or insufficient network bandwidths. Together with sensors such a PIR (passive infrared sensor), sound sensor, gas leakage sensor, obstacle/proximity sensor (vibration sensor), fire/flame sensor, GSM module, and a surveillance pi camera, it makes use of a Raspberry Pi Zero W as a microprocessor. . In addition, the system will promptly alert the homeowner through phone calls, SMS, or mail anytime it senses the presence of an intruder or other safety hazards. Hence, anyone who wants to make their space (bank, home, workplace, jewelry shops, and cabins) safe and to protect themselves from theft and infiltration can use this system at a fair price. Keywords: Raspberry pi, GSM module, PIR motion detector, obstacle sensor, Sound sensor, flame sensor, smoke sensor, pi camera, MQTT protocol. Scope of the Article: Neural Networks
- [A1061123122](https://www.ijainn.latticescipub.com/portfolio-item/a1061123122/): Influence of Digital Fluctuations on Behavior of Neural Networks Igor V. Netay i.netay@kryptonite.ru Igor V. Netay, JSRPC Kryptonite and Intitute for Information Transmission Problems of Russian Academy of Sciences, Moscow, Russia.  Manuscript received on 18 November 2022 | Revised Manuscript received on 25 November 2022 | Manuscript Accepted on 15 December 2022 | Manuscript published on 30 December 2022 | PP: 1-7 | Volume-3 Issue-1, December 2022 | Retrieval Number: 100.1/ijainn.A1061123122 | DOI: 10.54105/ijainn.A1061.123122 Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting © The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Abstract: This paper deals with effect of digital noise to numerical stability of neural networks. Digital noise arises from the inexactness of floating point values operations. Accumulated errors finally lead to the loss of significance. Experiments show that more redundant networks have higher noise influence. This effect is tested in both model and real world samples. As a result, one should exclude all the networks results from the beginning of fluctuations. Results of experiments allow us to hypothesize that minimal values of loss function preserving significance were achieved for the networks of size close to the complexity of the dataset. So, it is a reason to choose sizes of network layers in accordance with complexity of particular datasets and not universally for an architecture and general problem statement without relation to data. In the case of fine tuning this suggests that pruning of network layers can improve result accuracy and reliability of prediction due to decrease of numerical noise influence. Results of this article are based on analysis of numerical experiments with train of more than 50000 neural networks for thousands epochs for each network. Almost all the networks begin to fluctuate. Keywords: Neural Network, Numerical Stability, Digital Noise, Digital Fluctuations, Fine-Tuning. Scope of the Article: Neural Networks
- [F1060102622](https://www.ijainn.latticescipub.com/portfolio-item/f1060102622/): GAN-Generated Terrain for Game Assets Yogendra Sisodia ysisodia@conga.com, scholarly360@gmail.com Yogendra Sisodia, Director, Department of Machine Learning, Conga, Thane (Maharashtra), India. Manuscript received on 25 September 2022 | Revised Manuscript received on 28 September 2022 | Manuscript Accepted on 15 October 2022 | Manuscript published on 30 October 2022 | PP: 1-3 | Volume-2 Issue-6, October 2022 | Retrieval Number: 100.1/ijainn.F1060102622 | DOI: 10.54105/ijainn.F1060.102622 Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting © The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Abstract: Multimedia applications, such as virtual reality models and video games, are increasingly interested in the ability to generate and author realistic virtual terrain automatically. In this paper, the author proposes a pipeline for a realistic two-dimensional terrain authoring framework that is powered by several different generative models that are applied one after the other. Two-dimensional role-playing games will benefit from this ability to create multiple high-resolution terrain variants from a single input image and to interpolate between terrains while keeping the terrains that are generated close to how the data is distributed in the real world. Keywords: Deep Learning, Generative Adversarial Networks, Pix2Pix, Procedural Content Generation, Terrain Generation. Scope of the Article: Deep Learning
- [E1058082522](https://www.ijainn.latticescipub.com/portfolio-item/e1058082522/): 2Ms. Neha Singh, Assistant Professor, Department of Computer Science and Engineering, Indrashil University (Cadila Group), Kadi (Gujarat), India.
- [E1057082522](https://www.ijainn.latticescipub.com/portfolio-item/e1057082522/): Abstract: The endocrine disorder diabetes is a condition where the body's glucose levels are abnormally high. Diabetes type II is highly prevalent among elderly people. Worldwide, this number is rising quickly. Furthermore, diabetes creates major health issues that might result in organ failure and paralysis in addition to lowering the blood glucose content. Additionally, it shortens the patients' lives . Early diabetes classification involves seeing a patient at a diagnostic facility and consulting doctors, which is a very time consuming process. A mechanism has been created to deal with these significant problems. A classification of the patient's level of diabetes using machine learning (ML) algorithms has been addressed in this paper. Previous works considered only five different ML algorithms. We have extended and compared the classification of diabetes prediction using eight different ML algorithms. The database used to train the models is taken from the Pima Indian Diabetes datasets as available from the UCI ML repository . Accuracy, Precision, recall, and F1 score are the four metrics that have been used to analyze and compare the performances of prediction. In comparison to other methods, simulation results indicate that the Neural Network model has the highest accuracy, at 93%. Another performance metric has been the receiver operating characteristics (RoC) that also shows that NN has the maximum area among all the eight algorithms. Simulation results show this area as 0.740. 
- [D1054062422](https://www.ijainn.latticescipub.com/portfolio-item/d1054062422/): 2Abhishek Vaish, Department of Computer Engineering, K.J. Somaiya Institute of Engineering and Information Technology, Mumbai (Maharashtra), India.
- [D1052062422](https://www.ijainn.latticescipub.com/portfolio-item/d1052062422/): 2Rayees Shaikh, Department of Information Technology, K. J. Somaiya Institute of Engineering & Information Technology, Mumbai (Maharashtra), India.
- [C1050042322](https://www.ijainn.latticescipub.com/portfolio-item/c1050042322/): sushilas@lnct.ac.in 2Prof. Sushila Sonare, Department of Computer Science and Engineering, Lakshmi Narain College of Technology & Science, Bhopal (M.P), India.
- [C1046042322](https://www.ijainn.latticescipub.com/portfolio-item/c1046042322/): Er.sarwesh@gmail.com  2Sarwesh Site, Department of Computer Science Engineering, All Saint College of Technology, Bhopal (MP), India.
- [B1045022222](https://www.ijainn.latticescipub.com/portfolio-item/b1045022222/): anubhavwadhwa663@gmail.com 2Anubhav Wadhwa, Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM’s NMIMS, V.L. Mehta Road, Vile Parle (W), Mumbai- 400056, India.
- [E1040101521](https://www.ijainn.latticescipub.com/portfolio-item/e1040101521/): Multi Objective Optimization Based Feature Selection Algorithms for Big Data Analytics: A Review Aakriti Shukla1, Damodar Prasad Tiwari2 aakritishukla2512@gmail.com 1Aakriti Shukla, Department of Computer Science and Engineering, Bansal Institute of Science & Technology, Bhopal (M.P.), India. 2Dr Damodar Prasad Tiwari, Department of Computer Science and Engineering, Bansal Institute of Science & Technology, Bhopal (M.P.), India Manuscript received on 29 November 2021 | Revised Manuscript received on 10 December 2021 | Manuscript Accepted on 15 December 2021 | Manuscript published on 30 December 2021 | PP: 1-4 | Volume-1 Issue-5, December 2021 | Retrieval Number: 100.1/ijainn.E1040101521 | DOI: 10.54105/ijainn.E1040.121521 Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting © The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Abstract: Dimension reduction or feature selection is thought to be the backbone of big data applications in order to improve performance. Many scholars have shifted their attention in recent years to data science and analysis for real-time applications using big data integration. It takes a long time for humans to interact with big data. As a result, while handling high workload in a distributed system, it is necessary to make feature selection elastic and scalable. In this study, a survey of alternative optimizing techniques for feature selection are presented, as well as an analytical result analysis of their limits. This study contributes to the development of a method for improving the efficiency of feature selection in big complicated data sets. Keywords: Big Data, Feature Selection, Optimization, Data Mining. Scope of the Article: Big Data and Ai Approaches
- [C1028061321](https://www.ijainn.latticescipub.com/portfolio-item/c1028061321/): © The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
- [C1032061321](https://www.ijainn.latticescipub.com/portfolio-item/c1032061321/): as2374@srmist.edu.in  2Aviraj Patel, SRM Institute of Science & Technology, Ramapuram, Chennai, Tamil Nadu, India.
- [C1035061321](https://www.ijainn.latticescipub.com/portfolio-item/c1035061321/): 2Rishabh Jain, Pursuing Bachelors, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai(Tamil Nadu), India.
- [B1027021221](https://www.ijainn.latticescipub.com/portfolio-item/b1027021221/): kailsashpatidar123@gmail.com 2Kailash Patidar, Assistant Professor, Department of Computer Science, School of Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Madhya Pradesh, India.
- [B1026021221](https://www.ijainn.latticescipub.com/portfolio-item/b1026021221/): kailsashpatidar123@gmail.com 2Kailash Patidar, Assistant Professor, Department of Computer Science, School of Engineering, Sri Satya Sai University of Technology & Medical Sciences, Sehore, (Madhya Pradesh), India.
- [B1015021221](https://www.ijainn.latticescipub.com/portfolio-item/b1015021221/): nidhigarg.fet@mriu.edu.in 2Nidhi Garg, Assistant Professor, Department of Computer Science & Engineering, Manav Rachna International Institute of Research & Studies, Faridabad, India.
- [B1013021221](https://www.ijainn.latticescipub.com/portfolio-item/b1013021221/): meghaj@lnct.ac.in 2Megha Jain, Assistant professor, Department of computer science and Engineering, Lakshmi Narain College of Technology Excellence Bhopal, India.
- [B1012021221](https://www.ijainn.latticescipub.com/portfolio-item/b1012021221/): meghaj@lnct.ac.in 2Megha Jain, Assistant professor, Department of computer science and Engineering, Lakshmi Narain College of Technology Excellence Bhopal, India.