Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website.

# 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/)
- [Diversity, Equity, Inclusivity, and Accessibility (DEIA)](https://www.ijainn.latticescipub.com/diversity-equity-inclusivity-and-accessibility-deia/)
- [Complaints and Appeals](https://www.ijainn.latticescipub.com/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/)
- [Responsibilities and Selection Process of the Editorial Board](https://www.ijainn.latticescipub.com/responsibilities-and-selection-process-of-the-editorial-board/)
- [Journal Metrics](https://www.ijainn.latticescipub.com/journal-metrics/)
- [Archiving](https://www.ijainn.latticescipub.com/archiving-policy/)
- [Imprint](https://www.ijainn.latticescipub.com/imprint/)
- [Citations](https://www.ijainn.latticescipub.com/citation/)
- [Declaration Statement](https://www.ijainn.latticescipub.com/declaration-statement/)
- [Correction, Retraction, and Post Publication](https://www.ijainn.latticescipub.com/corrections-retractions-removal-and-republications/)
- [Image Integrity and Standards](https://www.ijainn.latticescipub.com/image-integrity-and-standards/)
- [Repositories](https://www.ijainn.latticescipub.com/repositories/)
- [Code of Conduct for Medical Ethics: Clinical Trials, Nomenclatures, and Abbreviations](https://www.ijainn.latticescipub.com/code-of-conduct-for-medical-ethics/)
- [Authorship](https://www.ijainn.latticescipub.com/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/)
- [Competing Interests/ Conflicts of Interest](https://www.ijainn.latticescipub.com/competing-interests/)
- [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/)
- [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/)
- [Confidentiality and Privacy](https://www.ijainn.latticescipub.com/confidentiality-policy/)
- [Acknowledgements](https://www.ijainn.latticescipub.com/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/)
- [Peer Review](https://www.ijainn.latticescipub.com/peer-review-policy/)
- [Open Access Publishing](https://www.ijainn.latticescipub.com/open-access-license/)
- [Guidelines for Authors](https://www.ijainn.latticescipub.com/instruction-for-authors/)
- [Indexing and Abstracting](https://www.ijainn.latticescipub.com/indexing/)
- [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/)
- [Intellectual Property](https://www.ijainn.latticescipub.com/copyright-grants-and-ownership-declaration/)
- [CONTACT](https://www.ijainn.latticescipub.com/contact/)
- [CALL FOR PAPERS](https://www.ijainn.latticescipub.com/call-for-papers/)
- [Article Submission System](https://www.ijainn.latticescipub.com/article-submission-system/)
- [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/)
- [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/)
- [F110705061025](https://www.ijainn.latticescipub.com/portfolio-item/f110705061025/)
- [F110505061025](https://www.ijainn.latticescipub.com/portfolio-item/f110505061025/)
- [E110405050825](https://www.ijainn.latticescipub.com/portfolio-item/e110405050825/)
- [E110005050825](https://www.ijainn.latticescipub.com/portfolio-item/e110005050825/)
- [C109805030425](https://www.ijainn.latticescipub.com/portfolio-item/c109805030425/)
- [B109505020225](https://www.ijainn.latticescipub.com/portfolio-item/b109505020225/)
- [C1063043323](https://www.ijainn.latticescipub.com/portfolio-item/c1063043323/)
- [F109204061024](https://www.ijainn.latticescipub.com/portfolio-item/f109204061024/)
- [F109104061024](https://www.ijainn.latticescipub.com/portfolio-item/f109104061024/)
- [B39041212222](https://www.ijainn.latticescipub.com/portfolio-item/b39041212222/)
- [D108904040624](https://www.ijainn.latticescipub.com/portfolio-item/d108904040624/)
- [C108604030424](https://www.ijainn.latticescipub.com/portfolio-item/c108604030424/)
- [B108404020224](https://www.ijainn.latticescipub.com/portfolio-item/b108404020224/)
- [F95170512623](https://www.ijainn.latticescipub.com/portfolio-item/f95170512623/)
- [A108204011223](https://www.ijainn.latticescipub.com/portfolio-item/a108204011223/)
- [F95510512623](https://www.ijainn.latticescipub.com/portfolio-item/f95510512623/)
- [A1080124123](https://www.ijainn.latticescipub.com/portfolio-item/a1080124123/)
- [A1078124123](https://www.ijainn.latticescipub.com/portfolio-item/a1078124123/)
- [A1077124123](https://www.ijainn.latticescipub.com/portfolio-item/a1077124123/)
- [D1066063423](https://www.ijainn.latticescipub.com/portfolio-item/d1066063423/)
- [B1024021221](https://www.ijainn.latticescipub.com/portfolio-item/b1024021221/)
- [B1044022222](https://www.ijainn.latticescipub.com/portfolio-item/b1044022222/)
- [F1072103623](https://www.ijainn.latticescipub.com/portfolio-item/f1072103623/)
- [E1071083523](https://www.ijainn.latticescipub.com/portfolio-item/e1071083523/)
- [D1070063423](https://www.ijainn.latticescipub.com/portfolio-item/d1070063423/)
- [A38221012122](https://www.ijainn.latticescipub.com/portfolio-item/a38221012122/)
- [B39181212222](https://www.ijainn.latticescipub.com/portfolio-item/b39181212222/)
- [B38731212222](https://www.ijainn.latticescipub.com/portfolio-item/b38731212222/)
- [D40710412423](https://www.ijainn.latticescipub.com/portfolio-item/d40710412423/)
- [A1061123122](https://www.ijainn.latticescipub.com/portfolio-item/a1061123122/)
- [F1060102622](https://www.ijainn.latticescipub.com/portfolio-item/f1060102622/)
- [E1058082522](https://www.ijainn.latticescipub.com/portfolio-item/e1058082522/)
- [E1057082522](https://www.ijainn.latticescipub.com/portfolio-item/e1057082522/)
- [D1054062422](https://www.ijainn.latticescipub.com/portfolio-item/d1054062422/)
- [D1052062422](https://www.ijainn.latticescipub.com/portfolio-item/d1052062422/)
- [C1050042322](https://www.ijainn.latticescipub.com/portfolio-item/c1050042322/)
- [C1046042322](https://www.ijainn.latticescipub.com/portfolio-item/c1046042322/)
- [B1045022222](https://www.ijainn.latticescipub.com/portfolio-item/b1045022222/)
- [E1040101521](https://www.ijainn.latticescipub.com/portfolio-item/e1040101521/)
- [C1028061321](https://www.ijainn.latticescipub.com/portfolio-item/c1028061321/)
- [C1032061321](https://www.ijainn.latticescipub.com/portfolio-item/c1032061321/)
- [C1035061321](https://www.ijainn.latticescipub.com/portfolio-item/c1035061321/)
- [B1027021221](https://www.ijainn.latticescipub.com/portfolio-item/b1027021221/)
- [B1026021221](https://www.ijainn.latticescipub.com/portfolio-item/b1026021221/)
- [B1015021221](https://www.ijainn.latticescipub.com/portfolio-item/b1015021221/)
- [B1013021221](https://www.ijainn.latticescipub.com/portfolio-item/b1013021221/)
- [B1012021221](https://www.ijainn.latticescipub.com/portfolio-item/b1012021221/)