Neural Network News and Research

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A neural network is a computational model inspired by the structure and function of the human brain. It consists of interconnected artificial neurons that process and transmit information, enabling machine learning tasks such as pattern recognition, classification, and regression by learning from labeled data.
ML-based Prediction of Punching Shear Capacity in Ultra-High-Performance Concrete

ML-based Prediction of Punching Shear Capacity in Ultra-High-Performance Concrete

Ensemble Learning for Botnet Detection to Enhance IoT Security

Ensemble Learning for Botnet Detection to Enhance IoT Security

Automated Dimension Reduction in Archaeometry Using Autoencoder Neural Networks

Automated Dimension Reduction in Archaeometry Using Autoencoder Neural Networks

Lightweight Enhancements in YOLOv5 for Vehicle Detection

Lightweight Enhancements in YOLOv5 for Vehicle Detection

Real-time Water Quality Monitoring and Prediction System using IoT and Cloud Computing

Real-time Water Quality Monitoring and Prediction System using IoT and Cloud Computing

Solar Irradiance Prediction in Central Africa with MLP Neural Network

Solar Irradiance Prediction in Central Africa with MLP Neural Network

FlashNet: Advancing Lightning Forecasting with Hybrid AI

FlashNet: Advancing Lightning Forecasting with Hybrid AI

Enhanced MobileNetV2 for Precision Classification for Improving Agricultural Automation

Enhanced MobileNetV2 for Precision Classification for Improving Agricultural Automation

Landslide Prediction with Full Seismic Waveform Analysis Using Deep Learning

Landslide Prediction with Full Seismic Waveform Analysis Using Deep Learning

Deep Learning-based Human Activity Recognition with Wireless Body Area Sensor Networks

Deep Learning-based Human Activity Recognition with Wireless Body Area Sensor Networks

A Meta-analysis of AI's Diagnostic Accuracy in Fracture Detection

A Meta-analysis of AI's Diagnostic Accuracy in Fracture Detection

Using Transfer Learning and LSTM Neural Networks for Reservoir Parameter Prediction

Using Transfer Learning and LSTM Neural Networks for Reservoir Parameter Prediction

A Multimodal Deep Learning Approach for Wildfire Prediction

A Multimodal Deep Learning Approach for Wildfire Prediction

Achieving Quantum Speed-Up in Optical Neural Networks with Correlated Optical CNNs

Achieving Quantum Speed-Up in Optical Neural Networks with Correlated Optical CNNs

Advancing Machine Translation for Arabic Dialects: A Semi-Supervised Approach

Advancing Machine Translation for Arabic Dialects: A Semi-Supervised Approach

RetNet: Revolutionizing Gas Adsorption Predictions in Metal-Organic Frameworks

RetNet: Revolutionizing Gas Adsorption Predictions in Metal-Organic Frameworks

Fragmented Neural Networks for Practical Deep Learning

Fragmented Neural Networks for Practical Deep Learning

EfficientBioAI: Revolutionizing Bioimaging with Smart Model Compression

EfficientBioAI: Revolutionizing Bioimaging with Smart Model Compression

Innovative Vision Transformer for Pothole and Traffic Sign Detection in Challenging Conditions

Innovative Vision Transformer for Pothole and Traffic Sign Detection in Challenging Conditions

ReAInet: Bridging Artificial and Human Vision through EEG-Aligned Neural Networks

ReAInet: Bridging Artificial and Human Vision through EEG-Aligned Neural Networks