Abstract In recent years, due to the technological improvements in computers’ hardware and enhancements in the machine learning techniques, there are two increasing approaches for problem-solving as the use of […]
Deep Learning Based Forecasting in Stock Market with Big Data Analytics Read More »
Abstract Early detection of driver drowsiness and the development of a functioning driver alertness system may support the prevention of numerous vehicular accidents worldwide. Wearable sensors and camera-based systems are
An Effective Hybrid Model for EEG-Based Drowsiness Detection Read More »
Abstract Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ML models
COVID-19 Future Forecasting Using Supervised Machine Learning Models Read More »
Abstract Artificial intelligence is one of the most discussed topics of the present time. The burning question of today about artificial intelligence is “will it be beneficial or dangerous for
Benefits of Artificial Intelligence in Medicine Read More »
Abstract: This study proposes an artificial intelligence of things (AIoT) system for electrocardiogram (ECG) analysis and cardiac disease detection. The system includes a front-end IoT-based hardware, a user interface on
Artificial Intelligence of Things Wearable System for Cardiac Disease Detection Read More »
Abstract: Drowsiness driving is a principal factor of many fatal traffic accidents. This paper presents the first event-based drowsiness driving detection (EDDD) system by using the recently developed neuromorphic vision
Abstract: With the advent of the Internet of Things (IoT), The realization of the smart city seems to be very imminent. One of the key parts of a cyber-physical
Deep Learning Techniques for Obstacle Detection and Avoidance in Driverless Cars Read More »
Abstract: The pandemic of coronavirus disease 2019 (COVID-19) is spreading all over the world. Medical imaging such as X-ray and computed tomography (CT) plays an essential role in the global
