Titlebook: Smart Trends in Computing and Communications; Proceedings of Smart Tomonobu Senjyu,Chakchai So–In,Amit Joshi Conference proceedings 2023 Th

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Wearable Technology with Location Tracking, Health Monitoring, and Attendance Tracking for Employeen article of equipment, where one or more sensor and actuator nodes are located on the end user’s side and may even be integrated into clothing. Nodes’ ability to access a local server or cloud. They are equipped with motion sensors that keep an eye on your daily activities and sync them with comput

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2367-3370 use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications..978-981-99-0768-7978-981-99-0769-4Series ISSN 2367-3370 Series E-ISSN 2367-3389

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,Distributed Deep Learning with Data Parallelism for Diabetic Retinopathy Classification,d where the model is trained on multi-GPUs with counts from 1 to 8. The results show that the model takes less time when trained on multi-GPUs compared to single GPU. The detailed evaluation analysis of DDL with data parallelism is presented in this paper.

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,STING—A User Governed Crime Alert App, victim, here the users could lend a helping hand, also the feature of using maps helps other people to check whether the path they are traveling is safe or not. Sting stores cases reported and enables the users to choose their path. Hence sting acts as a safe travel guide as well as a crime detection app.

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Wearable Technology with Location Tracking, Health Monitoring, and Attendance Tracking for Employeee report produced by a wearable device. Employers can follow their employees’ whereabouts whether they are present in the office or outside without the employee’s consent by using this smart wearable device.