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Titlebook: Embracing Machines and Humanity Through Cognitive Computing and IoT; Mohammed Usman,Xiao-Zhi Gao Book 2023 The Editor(s) (if applicable) a

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https://doi.org/10.1007/978-981-16-1022-6rom the dataset are utilized in malware discovery. At last, all the features which are extracted are given to the classier which is machine learning findings like Random Forest, XGboost, and KNN, etc. It aims to calculate and predict the accuracy in a new way where malware is found.
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https://doi.org/10.1007/978-1-4615-3678-9ent segments. These features are used to train and test using machine learning classifier. The proposed method is evaluated on 200 participants. The experimental result shows the accuracy of 93% which is better than the existing works.
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Automatic Vehicle Alert and Accident Detection System Based on Cloud Using IoT, and used to recover an incident. The proposed work is an effective solution for the easy transmission of data by introducing an IoT into the present vehicle alert system. This central server also consists of an auto-emailing module which sends the victims‘ location and information to emergency contacts stored in case of accidents.
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Low-Power Comparator-Triggered Method of Multiplication for Deep Neural Networks,mparative results are shown with the help of Verilog programming using Xilinx-ISE simulator. Post-layout simulations are done at 45 nm technology to show the switching power comparisons using Mentor Graphics.
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Assembly Line Implementation for IOT Applications,utilized in which a graphical visualization and interfacing was developed to provide data acquisition visualization. The system is designed such that it resembles a real-time manufacturing environment so that the paper enables connectivity of real industry hardware extending the capability of system.
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