GitHub

AhmedEl-diasty/Human-Activity-Recognition-CNN-LSTM

This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...
IEEE

Deep Learning-Driven Diagnosis CNN-LSTM Models for Accurate Grading of Knee Osteoarthritis

Abstract: Musculoskeletal disorder knee osteoarthritis (OA) is very prevalent and impacts quality of life demanding accurate grading to inform treatment planning. This study presents a novel deep ...
IEEE

Automated Thyroid Dysfunction Screening from Voice Using CNN-LSTM Deep Learning Models

Abstract: Thyroid disorders affect millions worldwide but often go undiagnosed because their symptoms like fatigue, mood changes, and weight fluctuations are subtle and easily mistaken for stress or ...
IEEE

Malicious URL Detection Using Character-Level Tokenization with CNN-LSTM Deep Learning Model

Abstract: As cyberattacks have become increasingly sophisticated, malicious URL detection is now essential in enhancing cybersecurity against phishing, defacement, and malware attacks. This work ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
IEEE

Enhanced Lung Disease Classification Using CALMNet: A Hybrid CNN-LSTM-TimeDistributed Model for Respiratory Sound Analysis

Abstract: Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment.