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

A Comprehensive Survey on Evidential Deep Learning and Its Applications

Abstract: Reliable uncertainty estimation has become a crucial requirement for the industrial deployment of deep learning algorithms, particularly in high-risk applications such as autonomous driving ...

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
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

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 ...
IEEE

An Order Dispatch Algorithm for Ride-Hailing Based on Quantum Annealing and Multi-Agent Reinforcement Learning

Abstract: The popularity of ride-hailing has grown significantly, making it one of the mainstream modes of transportation. Its core value and competitive advantage largely lie in the precise and ...
IEEE

Deploying Deep Learning for Real-Time Tsunami Monitoring: A CNN-LSTM Model for Sensor-Based Prediction

Abstract: Early detection of tsunamis is essential for disaster risk reduction and minimizing loss of life. This research introduces an advanced deep learning-based tsunami detection model that ...
Frontiers

Correction: Deep learning neural networks-based traffic predictors for V2X communication networks

The affiliation for Ali R. Abdellah was erroneously given as (5) Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena/Aswan, Egypt. This affiliation has been removed ...
IEEE

Deep Learning Algorithms for Real Time Quality Control in Automated Production

Abstract: To maintain high standards and efficiency in the age of Industry 4.0, automated production lines must have real-time quality monitoring. Using deep learning techniques to improve real-time ...
IEEE

Implementation of the Convolutional Neural Network (CNN) Method to Detect Traffic Congestion and Determine the Best Route Using the Heuristic Search Algorithm on Palembang City ...

Abstract: The city of Palembang is facing a significant increase in traffic density, causing various problems such as congestion. Research was conducted to overcome this problem by using various ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...