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All Journal International Journal of Electrical and Computer Engineering Journal of Applied Pharmaceutical Research Indonesian Journal of Electrical Engineering and Computer Science Proceeding of the International Conference on Family Business and Entrepreneurship (ICFBF) Lentera Jurnal Pengabdian Maysarakat
Kumar, Suresh
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Social Sciences

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Journal : International Journal of Electrical and Computer Engineering

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Neutrosophic enhanced convolutional neural network for occupancy detection: structured model development and evaluation Mittal, Ranjeeta; Kumar, Suresh; Chugh, Urvashi
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 6: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i6.pp6619-6627

Abstract

In this study, we introduce an advanced convolutional neural network (CNN) model tailored for house occupancy detection, designed to accommodate the inherent uncertainties and contradictory information often encountered in sensor data. By integrating neutrosophic layers into the CNN architecture, we enable the model to effectively handle indeterminacy, vagueness, and inconsistency present in real-world sensor readings. Our approach employs neutrosophic convolutional, max-pooling, and logic layers, providing a comprehensive framework for feature extraction and decision-making. Through a structured methodology encompassing data preprocessing, model initialization, training, evaluation, and optimization, we demonstrate the efficacy of the proposed model in accurately detecting occupancy status within residential environments. This enhanced CNN model offers improved accuracy, robustness, and interpretability, thereby facilitating its integration into smart home systems and building automation applications, contributing to enhanced efficiency, comfort, and energy savings.
Co-Authors Chugh, Urvashi Damayanti, Asty Farida Komalasari Goenadhi, Felix Jadon, Anil Kumar Mittal, Ranjeeta P, Viswanathan Purba, Wynona Sheehan Sekar, Vaishnavi Shrivastava, Vineet Singh, RB Sudagar Singh, Tanisha Varadan, Sivaprakash Witono, Aloysius Bambang Memet