IEEE

Comparative Study of Deep Learning Models for Sentiment Analysis on Social Media Data Using Hybrid BiLSTM-CNN Architecture

Abstract: In the modern era, social media platforms serve as key venues where individuals engage in conversations, share ideas, and express opinions. Sentiment analysis is a subfield of Natural ...
EE World Online

How does deep learning actually work?

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
Forbes

How To Earn Six Figures A Month With AI (Without Learning To Code)

Forbes contributors publish independent expert analyses and insights. Sho Dewan is a career expert who covers work, top jobs, and business.
Analytics Insight

Best Books to Master Computer Vision and Deep Learning in 2025

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical code examples for real-world applicati ...
IEEE

Dance Video Analysis System Based on YOLO Pose and CNN+LSTM Deep Learning Models

Abstract: The development and popularization of artificial intelligence and deep learning have driven the development of human pose recognition. Video analysis of human body posture has become a ...
IEEE

Transforming Pneumonia Classification through Deep Learning: A CNN-Based Approach to Enhance Accuracy and Efficiency

Abstract: In a world where timely and accurate diagnosis of pneumonia is paramount, the advent of deep learning and computer vision technologies presents a transformative opportunity. Pneumonia ...
IEEE

Development and Testing of a CNN-Based Smart Web Application Deep Learning for Early Detection of Plant Diseases

Abstract: The primary aim of the current research is to solve this problem that rises at early stage thereby making detection and management easier for plant diseases in hibiscus leaf using deep ...
IEEE

Intelligent Air Pollution Forecasting: A Deep Learning Approach with 1D-CNN and Kookaburra Optimization

Abstract: Air quality prediction is essential for environmental monitoring and reducing air pollution's health effects. Machine learning and deep learning models like 1D-CNN can forecast future air ...
IEEE

Robotic Automation Dynamic Hybrid Neuro-Fuzzy and Deep Learning Framework with GRU-BiLSTM, Capsule Networks, Type-2 Fuzzy Logic and CNN-TCN for Accurate IoMT-Based Chronic ...

Abstract: Background Information: Chronic kidney disease (CKD) is a world health concern that requires an early detection and careful observation over time. The IoMT is offering continuously streaming ...
IEEE

Enhanced Student Learning Through Facial Emotion Recognition Using Normalized CNN and Deep Learning

Abstract: The identification of facial emotions through FER serves as a vital factor for both human-computer relationships and learning platforms designed for individual needs. The research presents ...
IEEE

Optimized CNN-Based Deep Learning for ECG Signal Classification in IoT Healthcare Monitoring Systems

Abstract: The suggested technique improves ECG signal categorization by combining Particle Swarm Optimization (PSO) with Convolutional Neural Networks (CNN). Extracting features and categorization are ...
IEEE

Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches

Abstract: Future wireless multiple-input multiple-output (MIMO) systems will integrate both sub-6 GHz and millimeter wave (mmWave) frequency bands to meet the growing demands for high data rates. MIMO ...