Abstract: Body fitness monitoring applications are using mobile sensors to identify human activities. Human activity identification is a challenging task because of the wide availability of human activities. This paper proposes a novel technique that extracts the discriminative dimensions for human activity identification. Particularly, a novel technique with convolutional neural networks (CNN) is used for...Read More

Abstract: BACKGROUND: COVID-19 is the most dangerous virus, and its accurate diagnosis saves lives and slows its spread. However, COVID-19 diagnosis takes time and requires trained professionals. Therefore, developing a deep learning (DL) model on low-radiated imaging modalities like chest X-rays (CXRs) is needed. OBJECTIVE: The existing DL models failed to diagnose COVID-19 and other...Read More

Abstract: The immediate and quick spread of the coronavirus has become a life-threatening disease around the globe. The widespread illness has dramatically changed almost all sectors, moving from offline to online, resulting in a new normal lifestyle for people. The impact of coronavirus is tremendous in the healthcare sector, which has experienced a decline in...Read More

Abstract: In smart cities, the fast increase in automobiles has caused congestion, pollution, and disruptions in the transportation of commodities. Each year, there are more fatalities and cases of permanent impairment due to everyday road accidents. To control traffic congestion, provide secure data transmission also detecting accidents the IoT-based Traffic Management System is used. To...Read More

Abstract: Nowadays, countries are suffering from a significant problem of natural disasters worldwide. Natural disasters happen due to environmental imbalance. The previously developed models do not have substantial results. The early warning system (EWS) comprises artificial intelligence (AI) and the internet of things (IoT) technologies. The EWS is tracing the climatic/weather conditions and accordingly floats...Read More

Abstract: Smart cities are composed of intelligent industrial things that enhance people’s lives and save lives. Intelligent remote patient monitoring helps predict the patient's condition. Internet of Things (IoT), artificial intelligence (AI), and cloud computing have improved the healthcare industry. Edge computing speeds up patient data transmission and ensures latency, reliability, and response time. Nonetheless,...Read More

Abstract: Unmanned aerial vehicles (UAVs) have recently been increasingly popular in various areas, fields, and applications. Military, disaster management, rescue operations, public services, agriculture, and various other areas are examples. As a result, UAV path planning is concerned with determining the optimal path from the source to the destination while avoiding collisions with lowering the...Read More

Abstract: Untrusted third parties and untrustworthy foundries highlighted the significance of hardware security in the present-day world. Because of the globalization of integrated circuit (IC) design flow in the semiconductor industry, hardware security issues must be taken to prevent intellectual property (IP) piracy. Logic encryption is an efficient method to protect circuits from IP piracy,...Read More