Výsledky vyhledávání - "Perumal, Thinagaran"

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A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU

Autor: Shiri, Farhad Mortezapour, Perumal, Thinagaran, Mustapha, Norwati, Mohamed, Raihani

Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstructured and large datasets. Its impact spans across various domains, incl

Externí odkaz: http://arxiv.org/abs/2305.17473

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Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent Networks

Autor: Khosravinia, Pooyan, Perumal, Thinagaran, Zarrin, Javad

Publikováno v: IEEE Access 2023

Car accidents remain a significant public safety issue worldwide, with the majority of them attributed to driver errors stemming from inadequate driving knowledge, non-compliance with regulations, and poor driving habits. To improve road safety, Driv

Externí odkaz: http://arxiv.org/abs/2305.05670

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A Survey on Multi-Resident Activity Recognition in Smart Environments

Autor: Shiri, Farhad MortezaPour, Perumal, Thinagaran, Mustapha, Norwati, Mohamed, Raihani, Ahmadon, Mohd Anuaruddin Bin, Yamaguchi, Shingo

Human activity recognition (HAR) is a rapidly growing field that utilizes smart devices, sensors, and algorithms to automatically classify and identify the actions of individuals within a given environment. These systems have a wide range of applicat

Externí odkaz: http://arxiv.org/abs/2304.12304

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