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 ...

Why Children Get ‘Addicted’ To Online Gaming; Decoding Mental Health And Suicide Risks

Are online task games shaping young minds or revealing hidden distress? A psychological deep dive into gaming, risk, reward, suicide contagion and digital childhood behaviour today ...
IEEE

Deep Learning for Cancer Detection: Efficiency of EfficientNetB3 vs CNN in Histopathological Image Classification

Abstract: Exact cancer detection combined with prompt pathological image sorting serves as a requirement for both treatment procedures and disease prognosticating. The research evaluates ...
IEEE

Automated Food Spoilage Detection Using Deep Learning: A CNN-Based Approach

Abstract: Food spoilage detection is critical in ensuring food safety and reducing waste. In this work, we offer a new neural network model, rotOrNot, intended for image analysis-based rotten food ...
IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
IEEE

Real-Time Detection of Fileless Malware Using Hybrid Deep Learning with CNN and Autoencoder Anomaly Detection

Abstract: Fileless malware represents a rising and complex challenge in cybersecurity, primarily due to its capability to avoid conventional detection strategies by operating entirely within a ...
IEEE

Investigation of Deep Learning Techniques Used in Medicinal Plants Identification and Classification

Abstract: There is a global dependence on medicinal plants for the treatment of diverse health conditions, particularly in developing countries, where government medical facilities are inadequate.
AZoBuild

Structural Cracks Don’t Stand a Chance Against This Dual-Module AI

The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...
IEEE

A Fault-Tolerant Deep Learning Model Integrating CNN and NLP Techniques for Reusable Software Components

Abstract: This study proposes a fault-tolerant deep learning framework that synergistically combines Convolutional Neural Networks (CNNs) and Natural Language Processing (NLP) techniques to enhance ...
EDN

CES 2026: AI, automotive, and robotics dominate

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...
IEEE

Hybrid Beamforming for 5G MIMO based on Deep Learning Algorithm

Abstract: Hybrid beamforming for massive MIMO systems has attracted much interest due to its potential in next-generation wireless communications. Conventional beamforming methods, such as Matched ...
IEEE

Spatio-Temporal Deep Learning for Diabetic Retinopathy: A Hybrid CNN-BiLSTM Approach with Attention Mechanism

Abstract: Recent advancements in deep learning models are significantly enhancing the analysis of medical images, that is crucial for the development of reliable diagnostic systems. The research ...