This paper examines the integration of Industry 5.0 principles with advanced predictive
maintenance (PdM) and condition monitoring (CM) practices, based on Industry 4.0's …

Neurodegenerative diseases like Alzheimer's disease and Parkinson's disease are hard to
diagnose and treat early. They are characterised by progressive loss of neuronal function …

Ionic liquid-based electrochemical biosensors have recently surged to prominence as an
intriguing technology with transformative potential for real-time biomolecule monitoring …

An accurate way to identify and diagnose cardiovascular diseases in patients is to create a
machine learning-based diagnostic tool called the Smart Analysis of Machine Learning …

The skin, the body's largest organ, plays a critical role in protection and regulation, making
its health essential. Skin cancer, one of the most prevalent malignancies, continues to rise …

Although MIM structures have been studied for solar thermal applications for decades, the
multilayer MI-MIM structure is the subject of this study's investigation for batter absorption. In …

This systematic review focoused on exploring the link between environmental exposure to
arsenic (in air, water, and food pathways) and the occurrence of type 2 diabetes mellitus …

The global spread of monkeypox across over 40 countries is a major health challenge. Its
symptoms resemble those of chickenpox and measles, complicating early diagnosis. When …

Multi-scale object detection and category has grown to be important duties in numerous
domain names, including laptop imaginative and prescient, autonomous driving, and …

The motivation for using artificial neural networks in this study stems from their
computational efficiency and ability to model complex, high-level abstractions. Deep …