Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Traditional methods of disease recognition, relying heavily on human expertise and visual inspection, often fall short, especially in complex and noisy field environments. PlantIF marks a significant ...
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High-precision analysis of 2D materials microstructures achieved using electron microscopy and machine learning
A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: twist domains (areas where one atomic layer is slightly rotated relative ...
Transcranial Magnetic Stimulation (TMS), a non-invasive neuromodulation technique based on electromagnetic induction, modulates cortical excitability by inducing currents with a magnetic field. TMS ...
Abstract: The development of efficient and real-time animal behavior monitoring systems is crucial to support precision livestock farming. This study proposes a behavior classification system for ...
Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
Russian forces in Ukraine are learning that tactics based on “brutality” and quantity over quality can improve their fortunes, according to a 170-page report put out by the U.S. Army this month.
Abstract: Stroke prediction is an essential challenge in health-care, where the timely identification of at-risk individuals can considerably improve patient outcomes and reduce long-term disabilities ...
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