Devdiscourse

AI energy monitoring system could reshape residential power management

Their findings are detailed in the study “Efficient Energy Consumption: Leveraging AI Models for Appliance Detection,” published in the Journal of Low Power Electronics and Applications, where the ...
C&EN

CFTR_TL: Transfer Learning-Enhanced Prediction of CFTR ATP Binding Sites with Multi-Window Convolutional Neural Networks

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) protein, crucial for ...
IEEE

Multi-Branch Deep Learning Architecture for Satellite Image Classification Using ViTNet-FCN With Transfer Learning

Satellite image classification plays a vital role in land cover mapping, resource management, and environmental monitoring. While recent advances in deep learning have improved performance, single ...
Baseball America

10 Mid-Major College Baseball Programs With Strong Transfer Portal Classes For 2026

Baseball America continues its look at the transfer portal’s impact across college baseball by spotlighting some mid-major programs that put together particularly strong offseasons. Each added key ...
Inside Higher Ed

Eliminating Barriers to Credit for Prior Learning

Many individuals enter college with military training, industry credentials and/or other noncredit training. To recognize the knowledge and skills from these previous experiences, many colleges offer ...
Frontiers

A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas

The analysis of lung CT images to accurately differentiate between patients with TBG and LAC in a non-invasive manner holds considerable clinical value. In this study, a PFLS is used to ...
IEEE

Hybrid ResNet-ViT Transfer Learning Approach for Brain Stroke Classification on Computed Tomography Images

Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...
Scientific Research Publishing

Enhancements in WSN Energy Efficiency Using Machine Learning: A Comparative Analysis and Real-Time Challenges ()

The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...