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	<title>Volume-3 Issue-2, February 2023 &#8211; Indian Journal of Artificial Intelligence and Neural Networking (IJAINN)</title>
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	<description>Exploring Innovation &#124; ISSN: 2582-7626 (Online) &#124; A Periodical Journal &#124; Reg. No: C/1383209 &#124; Published by Lattice Science Publication (LSP)</description>
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	<title>Volume-3 Issue-2, February 2023 &#8211; Indian Journal of Artificial Intelligence and Neural Networking (IJAINN)</title>
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		<title>D40710412423</title>
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		<dc:creator><![CDATA[IJAINN Journal]]></dc:creator>
		<pubDate>Sat, 25 Mar 2023 11:25:13 +0000</pubDate>
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					<description><![CDATA[<p>The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) has ISSN 2582-7626 (online), open-access, peer-reviewed, periodical bi-monthly international journal, which is published by Lattice Science Publication (LSP) in February, April, June, August, October and December.The aim of the journal is to publish high quality peer–reviewed original articles in the area of Artificial Intelligence and Neural Networking that covers Neural Networks, Fuzzy Logic, Simulated Biological Evolution Algorithms (Like Genetic Algorithm), Ant Colony Optimization, Reasoning and Evolution, Intelligence Applications, Computer Vision and Speech Understanding, Multimedia and Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and Ai Planning Strategies and Tools, Computational Theories of Learning, Technology and Computing (Like Particle Swarm Optimization), Intelligent System Architectures, Knowledge Representation, Bioinformatics, Natural Language Processing, Multiagent Systems, Supervised Learning, Unsupervised Learning, Deep Learning, Big Data and AI Approaches, Reinforcement Learning, Learning with Generative Adversarial Networks, Regression and Prediction, Problem Solving and Planning, Clustering, Classification, Neural Information Processing, Vision and Speech Perception, Heterogeneous and Streaming Data, Probabilistic Models and Methods, Reasoning and Inference, Marketing and Social Sciences, Knowledge Discovery, Web Mining, Information Retrieval, Design and Diagnosis, Game Playing, Streaming Data, Music Modelling and Analysis, Robotics and Control, Multi-Agent Systems. #Neural Networks #Fuzzy Logic #Simulated Biological Evolution Algorithms (Like Genetic Algorithm) #Ant Colony Optimization #Reasoning and Evolution #Intelligence Applications #Computer Vision and Speech Understanding #Multimedia and Cognitive Informatics #Data Mining and Machine Learning Tools #Heuristic and AI Planning Strategies and Tools #Computational Theories of Learning #Technology and Computing (Like Particle Swarm Optimization) #Intelligent System Architectures #Knowledge Representation #Bioinformatics #Natural Language Processing #Multiagent Systems #Supervised Learning #Unsupervised Learning #Deep Learning #Big Data and AI Approaches #Reinforcement Learning #Learning with Generative Adversarial Networks #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Probabilistic Models and Methods #Reasoning and Inference #Marketing and Social Sciences #Knowledge Discovery #Web Mining, Information Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent systems #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons</p>
<p>The post <a rel="nofollow" href="https://www.ijainn.latticescipub.com/portfolio-item/d40710412423/">D40710412423</a> appeared first on <a rel="nofollow" href="https://www.ijainn.latticescipub.com">Indian Journal of Artificial Intelligence and Neural Networking (IJAINN)</a>.</p>
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										<content:encoded><![CDATA[<p>The Indian Journal of Artificial Intelligence and Neural Networking (IJAINN) has ISSN 2582-7626 (online), open-access, peer-reviewed, periodical bi-monthly international journal, which is published by Lattice Science Publication (LSP) in February, April, June, August, October and December.The aim of the journal is to publish high quality peer–reviewed original articles in the area of Artificial Intelligence and Neural Networking that covers Neural Networks, Fuzzy Logic, Simulated Biological Evolution Algorithms (Like Genetic Algorithm), Ant Colony Optimization, Reasoning and Evolution, Intelligence Applications, Computer Vision and Speech Understanding, Multimedia and Cognitive Informatics, Data Mining and Machine Learning Tools, Heuristic and Ai Planning Strategies and Tools, Computational Theories of Learning, Technology and Computing (Like Particle Swarm Optimization), Intelligent System Architectures, Knowledge Representation, Bioinformatics, Natural Language Processing, Multiagent Systems, Supervised Learning, Unsupervised Learning, Deep Learning, Big Data and AI Approaches, Reinforcement Learning, Learning with Generative Adversarial Networks, Regression and Prediction, Problem Solving and Planning, Clustering, Classification, Neural Information Processing, Vision and Speech Perception, Heterogeneous and Streaming Data, Probabilistic Models and Methods, Reasoning and Inference, Marketing and Social Sciences, Knowledge Discovery, Web Mining, Information Retrieval, Design and Diagnosis, Game Playing, Streaming Data, Music Modelling and Analysis, Robotics and Control, Multi-Agent Systems. #Neural Networks #Fuzzy Logic #Simulated Biological Evolution Algorithms (Like Genetic Algorithm) #Ant Colony Optimization #Reasoning and Evolution #Intelligence Applications #Computer Vision and Speech Understanding #Multimedia and Cognitive Informatics #Data Mining and Machine Learning Tools #Heuristic and AI Planning Strategies and Tools #Computational Theories of Learning #Technology and Computing (Like Particle Swarm Optimization) #Intelligent System Architectures #Knowledge Representation #Bioinformatics #Natural Language Processing #Multiagent Systems #Supervised Learning #Unsupervised Learning #Deep Learning #Big Data and AI Approaches #Reinforcement Learning #Learning with Generative Adversarial Networks #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Probabilistic Models and Methods #Reasoning and Inference #Marketing and Social Sciences #Knowledge Discovery #Web Mining, Information Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent systems #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons</p>
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<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif;"><span style="font-size: 14pt;"><strong><span style="font-size: 18pt;">Home Surveillance and Alert System using Raspberry Pi Zero W and GSM Modem with MQTT Protocol</span><a href="https://crossmark.crossref.org/dialog/?doi=10.54105/ijainn.D4071.023223&amp;domain=www.ijainn.latticescipub.com"><img decoding="async" id="crossmark-icon" class="alignright" src="https://crossmark-cdn.crossref.org/widget/v2.0/logos/CROSSMARK_Color_horizontal.svg" alt="CROSSMARK Color horizontal" width="150" height="33"></a><br />
</strong>Mekecha Banchigize Bazezew</span></span><br />
<span style="font-size: 12pt; font-family: 'times new roman', times, serif;">
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<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif; font-size: 12pt;">Manuscript received on 02 February 2023<strong> |</strong> Revised Manuscript received on 12 February 2023<strong> |</strong> Manuscript Accepted on 15 February 2023 <strong>|</strong> Manuscript published on 28 February 2023<strong>|</strong> PP: 1-7<strong> |</strong> Volume-3 Issue-2, February 2023 <strong>|</strong> Retrieval Number: 100.1/ijainn.D40710412423<strong> |</strong> DOI: <a href="http://doi.org/10.54105/ijainn.D4071.023223" target="_blank" rel="noopener">10.54105/ijainn.D4071.023223</a><br />
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<span style="font-size: 10pt; font-family: 'times new roman', times, serif;">© The Authors. Published by Lattice Science Publication (LSP). This is an <a href="https://www.openaccess.nl/en/open-publications" target="_blank" rel="noopener">open access</a> article under the CC-BY-NC-ND license <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/" target="_blank" rel="noopener">(http://creativecommons.org/licenses/by-nc-nd/4.0/)</a></span></p>
<p style="text-align: justify;"><span style="font-family: 'times new roman', times, serif; font-size: 14pt;"><strong>Abstract:</strong> 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. [1]. 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.<br />
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<span style="font-family: 'times new roman', times, serif; font-size: 12pt;"><span style="font-size: 14pt;"> <strong>Keywords:</strong> Raspberry pi, GSM module, PIR motion detector, obstacle sensor, Sound sensor, flame sensor, smoke sensor, pi camera, MQTT protocol.</span><br />
<span style="font-size: 14pt;"> <strong>Scope of the Article:</strong> Neural Networks</span><br />
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