The rapid increase in the amount of available biological data together with increasing
computational power and innovative new machine learning algorithms has resulted in great …

Over the past decade, there has been extensive work in develo** integrated silicon
photonics (SiPh) gratings for the optical addressing of trapped ion qubits among the ion trap …

Brain tumors, marked by unchecked cell proliferation within the central nervous system,
present substantial challenges for accurate diagnosis and effective treatment. Early and …

The development of an automatic microplastic (MPs) classification system using spectra is
crucial due to the time-consuming and error-prone nature of analyzing individual spectra …

Brain tumors profoundly affect human health owing to their intricacy and the difficulties
associated with early identification and treatment. Precise diagnosis is essential for effective …

Brain tumors, marked by unchecked cell proliferation within the central nervous system,
present substantial challenges for accurate diagnosis and effective treatment. Early and …

Schizophrenia, a highly complex psychiatric disorder, presents significant challenges in
diagnosis and treatment due to its multifaceted neurobiological underpinnings. Recent …

Glaucoma is currently one of the most significant causes of permanent blindness. Fundus
imaging is the most popular glaucoma screening method because of the compromises it has …

Feature extraction techniques are crucial in medical image classification; however, classical
feature extractors in addition to traditional machine learning classifiers often exhibit …

Cardiovascular diseases (CVDs) present significant challenges for early and accurate
diagnosis. While cardiac magnetic resonance imaging (CMR) is the gold standard for …