Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …

The advent and growing popularity of generative artificial intelligence (GenAI) holds the
potential to revolutionise AI applications in forensic psychiatry and criminal justice, which …

There is a wide application of deep learning technique to unimodal medical image analysis
with significant classification accuracy performance observed. However, real-world …

Many current statistical and machine learning methods have been used to explore
Alzheimer's disease (AD) and its associated patterns that contribute to the disease …

Electronic health records (EHRs) contain diverse patient information, including medical
notes, clinical events, and laboratory test results. Integrating this multimodal data can …

Deep learning has achieved state-of-the-art performances in several research applications
nowadays: from computer vision to bioinformatics, from object detection to image …

In 2021 almost 300 mm of rain, nearly half of the average annual rainfall, fell near Catania
(Sicily Island, Italy). Such events took place in just a few hours, with dramatic consequences …

Employee attrition is a major problem that causes many companies to incur in significant
costs to find and hire new personnel. The use of machine learning and artificial intelligence …

While the number of people suffering from traumatic brain injury (TBI) has increased
considerably in recent years, the multiple deficits of these patients makes designing the …

Marine biological object detection is of great significance for the exploration and protection
of underwater resources. There have been some achievements in visual inspection for …