Well, nine years later, artificial intelligence in agriculture isn’t just for the scientists. A tool developed by the four ...
Abstract: Leaf diseases of coconut severely affect the yield and quality of the crops. Early detection is imperative for any control measures to be effective. Here, an approach on the deep ...
Abstract: Heart disease remains a leading cause of mortality globally, necessitating the development of accurate, interpretable, and reliable predictive models to support early diagnosis and enhance ...
An Artificial Intelligence Application that consists of, A Therapist, Medical Doctor, GPS tracker, News Stands and a Meal Planner Along with an Emergency Number Caller.
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Abstract: Multi-label disease prediction is a highly significant task in healthcare, which essentially encompasses cases where several diseases may occur simultaneously, in a patient. The prediction ...
Abstract: Early detection of plant diseases is crucial for minimizing crop losses and ensuring sustainable agriculture. Traditional diagnostic methods often rely on visible symptoms, which appear only ...
Background Chronic obstructive pulmonary disease (COPD) is a leading cause of global mortality, yet existing risk prediction models remain limited. This study aimed to develop and validate a ...
He's sold over 50m records and now he's using AI to create music ...
Abstract: Alzheimer’s disease is a progressive form of dementia that deteriorates memory, cognition, and behavior, eventually impairing daily activities and causing brain damage, making it a ...
There is growing concern about student dependence on AI. Today's computer science grads might understand less about IT systems. Some technology professors are pushing back against AI in classrooms.