Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green ...
The objective of this project is to build and compare multiple machine learning classification models to predict wine quality. The task involves classifying wines into two categories: Good Quality ...
First, we pretrained the encoder of a transformer-based network using a self-supervised approach on unlabeled abdominal computed tomography images. Subsequently, we fine-tuned the segmentation network ...
Antimicrobial resistance (AMR) represents an escalating global health threat, demanding diagnostic strategies capable of rapid, accurate, and comprehensive pathogen characterization. Genomic ...
Abstract: In this paper, we describe a personalized diet recommendation system and an automatic diabetes classification system for the Pima Indians Diabetes Database with the help of eight important ...
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
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