IEEE

Algorithms on Electrical Impedance Tomography, Focusing on Deep Learning Architectures and Their Implementations: A Review

Abstract: Electrical impedance tomography (EIT) has garnered increasing attention in recent years, across different domains, as a promising alternative to traditional imaging techniques like X-rays ...
IEEE

Integration of Deep Learning and Compressive Sensing Algorithm for Beamspace Channel Estimation in mmWave Massive MIMO Systems

Abstract: In the realm of millimeter wave (mmWave) communication, massive multiple-input-multiple-output (mMIMO) systems have grabbed greater attention due to advancements in the 5G cellular networks.
IEEE

A Verified Synergistic Deep Learning Framework for Copyrighted Character Recognition Using CNN and Transformer Integration

Abstract: In this paper, we proposed a novel deep learning framework, the Synergistic Deep Learning Model, for recognizing copyrighted characters with heightened accuracy and minimized overfitting.
EurekAlert!

Smart monitoring for a greener future: New AI-driven model predicts lithium-ion battery health with unprecedented accuracy

An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...
IEEE

Efficiency and Adaptability of Deep Learning Architectures: A Performance Comparison of CNN, Transformer, and Hybrid Models

Abstract: Innovations in deep learning architectures are driving a paradigm shift in computer vision. While traditional convolutional neural networks (CNNs) have long dominated image tasks due to ...
IEEE

A Hybrid Chaotic Bat Algorithm with Deep Learning Optimization for Multi-Level Image Segmentation

Abstract: This paper examines the applicability of the Bat Algorithm (BA) and its variants as optimization frameworks for various image segmentation paradigms. Rather than introducing a new ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
ahajournals.org

Abstract WP306: Comparative Efficacy of Traditional Algorithms and Deep Learning Models for Stroke Detection Using MRI Imaging: A Systematic Review and Meta-Analysis

Introduction: Stroke remains a leading cause of morbidity and mortality globally, with a 23% relative annual increase in incidence worldwide and a staggering 87% rise in the United States alone.
IEEE

SC-DRL: A Status Correction-Empowered Deep Reinforcement Learning Algorithm for Dependency-Aware Application Offloading

Abstract: Mobile edge computing (MEC) is emerging as a critical paradigm to meet the growing computational demands of wireless devices. However, edge servers, wireless devices, and service types in ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...