Optimizing vision care: Dual path network model in eye disease classification.

The increasing prevalence and severity of eye diseases worldwide underscore the urgent need for advanced diagnostic tools and interventions to address the growing burden on global public health. The study on eye disease classification holds significant relevance due to its potential impact on enhancing early detection, diagnosis, and treatment of various ocular conditions. Timely and accurate identification of eye diseases such as cataracts, glaucoma and diabetic retinopathy is crucial for preventing vision loss and improving overall patient outcomes.

Chitosan-coated silver nanoparticles synthesized using Moringa oleifera flower extract: A potential therapeutic approach against triple-negative breast cancer.

Optimizing nanoparticle (NP) synthesis from biological sources for effective anticancer activity remains a challenge in treating triple-negative breast cancer (TNBC) because of the lack of receptors. This study investigates the use of Moringa oleifera (M. oleifera) flower extract to synthesize chitosan (Ch)-coated silver (Ag) nanoparticles (F-Ch-AgNPs) and assesses their efficacy against TNBC cells (MDA-MB-231) in vitro.

Enhancing performance of Parallel Hybrid Electric Vehicles using Powell's Artificial Bee Colony method.

Hybrid Electric Vehicles (HEVs) demonstrate superior fuel efficiency and reduced emissions in comparison to conventional vehicles. To further enhance the HEV performance, Powell's based Artificial Bee Colony (ABC) heuristic approach is used. Powell's ABC focuses on the improved local search ability and increased speed of convergence.

Attention deficit hyperactivity disorder (ADHD) detection for IoT based EEG signal.

ADHD is a prevalent childhood behavioral problem. Early ADHD identification is essential towards addressing the disorder and minimizing its negative impact on school, career, relationships, as well as general well-being. The present ADHD diagnosis relies primarily on an emotional assessment which can be readily influenced by clinical expertise and lacks a basis of objective markers.

Mapping of soil suitability for medicinal plants using machine learning methods.

Inadequate conservation of medicinal plants can affect their productivity. Traditional assessments and strategies are often time-consuming and linked with errors. Utilizing herbs has been an integral part of the traditional system of medicine for centuries.