In many machine learning tasks, environments are complex and unstable. Features in the data change over time. The labels...
Cardiovascular disease requires continuous and timely monitoring to avert abrupt medical catastrophes, particularly for...
Diabetes is an illness in which the pancreas secretes insulin that is not effective, resulting in a long-term disease. E...
Cybersecurity has evolved progressively due to the proliferation of the Internet of Things (IoT), since numerous compact...
The prediction of Multihop Latency (MHL) in Wireless Sensor Networks (WSNs) faces diverse challenges and is substantiall...
The computer-aided diagnosis of ophthalmologic diseases, including diabetic retinopathy, glaucoma, and high blood pressu...
Internet of Things enabled Wireless Sensor Network (IoT-WSN) uses low-powered devices that are capable enough to transmi...
Stress is one of the major factors affecting mental and physical health and requires the development of new non-invasive...
Time series forecasting is important for cloud computing because it helps keep services running, ensures that Quality of...
Machine Learning (ML) has been utilized in agriculture to enhance agricultural productivity and reduce environmental imp...