IEEE

Deep Learning for Sentiment Analysis: Combining CNN and LSTM for Enhanced Performance on Facebook Data

Abstract: This research evaluates the effectiveness of different sentiment analysis techniques, especially the hybrid CNN-LSTM model, on a large dataset of 100,000 Facebook posts and comments. For ...
IEEE

Deep Learning-Driven Diagnosis of Polycystic Ovary Syndrome (PCOS): A High-Accuracy CNN-Based Approach

Abstract: Women of reproductive age are frequently affected by PCOS, a common endocrine condition that frequently results in infertility and metabolic issues. This work uses a dataset of 44 clinical ...

AI sheds light on hard-to-study ocean currents

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...
IEEE

Securing Healthcare with Deep Learning: A CNN-Based Model for Medical IoT Threat Detection

Abstract: The increasing integration of the Internet of Medical Things (IoMT) into healthcare systems has significantly enhanced patient care but has also introduced critical cybersecurity challenges.
IEEE

An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification

Abstract: Bean rust and angular leaf spot pose significant challenges to bean cultivation, impacting yields. Prompt disease identification maximizes productivity, but traditional methods need ...
Scientific Research Publishing

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case Study of Guangzhou South Railway Station ()

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case Study of Guangzhou South Railway Station ...
IEEE

Deep Learning Meets Traditional Machine Learning: CNN-SVM Hybrid Models for Parkinson's Diagnosis

Abstract: Parkinson's disease (PD) is a neurodegenerative disorder that needs early and accurate diagnosis for good management. Our approach in this study is to have a hybrid diagnostic framework ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...