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Titlebook: Intelligent Communication Technologies and Virtual Mobile Networks; Proceedings of ICICV G. Rajakumar,Ke-Lin Du,Álvaro Rocha Conference pro

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Automated Mishap Detection and Prevention System for Vehicles,iate action. The system combines detection of alcohol, driver’s fatigue, fuel level, overheating of fuel tank and if the appropriate conditions are not satisfied, the vehicle stops. Additionally, the vehicle’s speed is tracked and in case of over speeding, the vehicle stops automatically. In case of
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Autonomous Drone Using Time-of-Flight Sensor for Collision Avoidance, issue is becoming a little complex due to the size and shape of the vehicle, and it becomes a little complex to accomplish the mission. As a result, we will be using a Flight Time Sensor (TOF sensor—time of flight) which is a lightweight sensor, and it is known as a MicroLiDAR sensor. The man’s beh
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Communication Technology for Information Exchange Using Short-Range Unmanned Aerial Vehicles,chitecture and the main characteristics of communication channels are given. Various types of data transmission using UAVs, an approach to the organization of communication using unmanned aerial vehicles—short-range repeaters, which allows for information exchange in emergency situations, are consid
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Evaluative Aspects of Wireless Sensor Networks Reliability Model: A Case Study,liability and lifetime must be managed properly as there are on-demand individual networks, subnets, extended networks, and other real-time applications of WSNs. The overall reliability of a wireless sensor network (WSN) depends on its lifetime, which in turn depends on battery-powered nodes, node-s
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Latest Trends in Wireless Network Optimization Using Distributed Learning,y in complex problems, a significant amount of training is needed. ML requires centralized training which consumes more processing power. İn the case of massive networks, consequently, it is necessary to train and test the algorithms in a distributed manner, which results in distributed learning. Re
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Malware Classification in Local System Executable Files Using Deep Learning, has the ability to change its source code as it spreads and is polymorphic and metamorphic. Furthermore, the variety and quantity of their variants seriously compromise the effectiveness of current defences, which frequently rely on signature-based techniques and are unable to identify malicious ex
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