In the rapidly evolving landscape of Natural Language Processing (NLP), transfer learning has emerged as a game-changing methodology, fundamentally altering how machine learning models are trained and deployed. The study at hand dives deep into the i... read more
BACKGROUND: The integration of Artificial Intelligence (AI) in providing quality dental care to individuals with special needs has been scarcely explored and holds the potential to be transformative. This study aimed to map the current evidence and r... read more
Under the combined effects of global climate change and rapid urbanization, low-lying coastal plain cities face increasingly severe flood threats. This study developed an urban flood susceptibility assessment framework integrating multi-model compari... read more
Sandy beaches are important coastal features with ecological, social, and economic significance, yet comprehensive national-scale datasets mapping their extent in India remain scarce. Here, we present a high-resolution, geo-referenced dataset of sand... read more
Low-rate stealth attacks present a major challenge in Internet of Things (IoT) environments because their slow, irregular, and noise-like traffic patterns evade traditional rate-based intrusion detection systems. To address this problem, this paper p... read more
Age-related Macular Degeneration (AMD) is a leading cause of vision loss globally; necessitating early detection and precise diagnosis for effective intervention. This study presents a computer-aided diagnosis (CAD) system for AMD detection and diagn... read more
A proactive framework for cybercrime risk assessment, incorporated using machine learning algorithms and game theory, analyzes platform content moderation effectiveness. With machine learning algorithms, including K-means clustering, ridge regression... read more
Digital pathology involves the digitisation of histology slides, which is vital in modern healthcare, especially for cancer detection and diagnosis. Still, the manual analysis of these digital slides by expert pathologists is time-consuming and prone... read more
When it comes to developing a strategy for EV charging networks, improving the utilization and planning of charging stations becomes critical with the fast growing market for electric cars. Improvement of power quality has the largest effect on the p... read more
This study addresses the existence and uniform stability of solutions for a class of Caputo-type fractional-order bidirectional associative memory (BAM) neural networks incorporating leakage delay in the view of perturbed system setup. A few numerica... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.