Abstract: The current research numerically investigated the inclined magnetic field effects on the combined forced and natural convection in lid driven curvilinear cavity filled with Cu-H2O nanoliquid and a partial porous layer. The complex cavity is partially filled with a porous layer about the lower half and heated with a constant heat source. The entire...Read More

Abstract: The wind has exploded in popularity in recent years, and it is expected to continue to do so in the future. To efficiently schedule and utilize that source of energy, better forecasting methodologies are required. In the recent decade, numerous studies on forecasting wind speed generation on timescales of minutes, days, months, and years...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: 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: In this current century, most industries are moving towards automation, where human intervention is dramatically reduced. This revolution leads to industrial revolution 4.0, which uses the Internet of Things (IoT) and wireless sensor networks (WSN). With its associated applications, this IoT device is used to compute the received WSN data from devices and transfer...Read More

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: 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: 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

Abstract: Data generated from social networking sites, blogs, digital magazines, and news websites is the largest human-generated data. Summarization is the process of extracting the crux of a document which when done manually can be tedious and deluging. Automatic text summarization is an approach that encapsulates long documents into a few sentences or words by...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