IEEE

Hybrid Deep Learning for Portable Weather Forecasting: Real-Time Predictions Using CNN-LSTM-Transformer Models

Abstract: Accurate weather forecasting is critical for agriculture, disaster management, and transportation sectors. However, traditional forecasting systems often require extensive computational ...
IEEE

MFC-CNN: A Deep Learning Framework for Urban Building Height Estimation from GF-7 Imagery

Abstract: Estimating building heights by generating disparity maps from multi-view satellite images through stereo matching remains challenging in urban research. However, disparity maps produced by ...
News-Medical.Net

Integrated Monte Carlo and deep learning improve radiotherapy QA

Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...
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

Self-Supervised Monocular Depth Estimation Using Hybrid CNN-VMamba Architecture

Abstract: Self-supervised monocular depth estimation (MDE) typically employs convolutional neural networks (CNNs) or Transformers to predict scene depth. However, CNNs struggle with long-range ...
IEEE

Automated Deep Learning System for Early Detection of Stroke Using CNN Architecture

Abstract: Strokes are a major cause of disability worldwide, with ischemic and hemorrhagic strokes accounting for the majority of cases. In India, stroke remains the second most common cause of ...
IEEE

Zero Trust Architecture for Electric Transportation Systems: A Systematic Survey and Deep Learning Framework for Replay Attack Detection

Abstract: Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing ...
IEEE

Enhanced Hybrid Intrusion Detection System using PSO-Optimized CNN Architecture

Abstract: Cyberattacks have grown into enduring threats, demanding advanced measures to secure vital data and systems. Although firewalls provide basic traffic filtering, they often fall short against ...
IEEE

A Deep Neural Ensemble Architecture for Securing IoT Systems Against Adversarial Inputs

Abstract: The proliferation of smart IoT systems has introduced significant security vulnerabilities, particularly against adversarial inputs that can compromise detection and classification models.
IEEE

Study on Depression Detection Model with Self-Supervised Speech Representation: The Architecture of wav2vec2-LSTM-CNN

Abstract: Depression is a common mental disorder with increasing global incidence rates. Traditional diagnostic methods rely on subjective assessments, which are time-consuming, costly, and lack ...
IEEE

Predictive Autism Analysis: Integrating CNN and RNN with Ensemble Learning

Abstract: Timely identification of Autism Spectrum Disorder (ASD) is essential for successful intervention, but current diagnostic methods often depend on subjective observations, potentially missing ...