IEEE

Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks

Abstract: As the computational demands driven by large model technologies continue to grow rapidly, leveraging GPU hardware to expedite parallel training processes has emerged as a commonly-used ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

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 ...
GitHub

EdgeTrain: Automated Resource Adjustment for Efficient Edge AI Training

EdgeTrain is a Python package designed to dynamically adjust deep learning training parameters and strategies based on CPU and GPU performance. It optimizes the training process by adjusting batch ...
IEEE

Performance Analysis of Support Vector Machine (SVM) Model Through Parameter Optimization with Genetic Algorithm (GA) in Chronic Kidney Disease Classification

Abstract: This study uses hyperparameter optimization to improve accuracy in classifying CKD or chronic kidney disease with the use of a Support Vector Machine algorithm or SVM. SVM is combined with ...