Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras

Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Manylion Llyfryddiaeth
Prif Awduron:	Rukaiya, Maymuna, Khan Soumik, Md. Muhtadee Faiaz, Sakib, Sazzad Hossan, Islam, Md. Ashikul, Ishrak, Mohammad Farhan
Awduron Eraill:	Rhaman, Dr. Md. Khalilur
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2023
Pynciau:	Human detection Machine learning YOLO v7 Faster R-CNN Bangla speech recognition Thermal image Primary dataset Machine learning. Artificial intelligence.
Mynediad Ar-lein:	http://hdl.handle.net/10361/21922

Eitemau Tebyg

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Fault detection in waste water treatment plant using statistical analysis & machine learning
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Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
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An implementation and analysis of deep learning models for the detection of wheat diseases
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