Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Bangladeshi researcher Md Masum Billah has been working to advance the application of artificial intelligence in healthcare and digital security, focusing on practical solutions for real-world ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

Artificial intelligence can help to predict how well patients with hip osteoarthritis will be able to walk again after an ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Abstract: To address the issues of slow convergence and low exploration efficiency in traditional Q-learning, this paper proposes a path planning algorithm based on support vector machine (SVM) ...

Abstract: Managing Irrigation water quality plays a crucial role in ensuring healthy crops and sustainable agricultural practices, particularly in rice farming. This study evaluates the effectiveness ...

Background: The proposed Architecture will provide the processing and analysis essential to accurate and reliable detection of brain tumors from MRI, for timely diagnosis and evidence-based decisions.