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

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
IEEE

Photovoltaic Power Generation Forecasting Based on Attention-CNN-BiLSTM Model

Abstract: With the rapid advancement of computer technology, the processing and storage capacity of computers have significantly improved. This has led to the remarkable development of artificial ...
IEEE

A CNN-Based Model for Yield Prediction in MEMS Resonator Manufacturing

Abstract: This work presents a novel method for predicting the yield of Micro-electromechanical Systems (MEMS) resonators by using Convolutional Neural Networks (CNNs) to extract morphological ...
IEEE

Computer networks cybersecurity monitoring based on CNN-LSTM model

Abstract: Cybersecurity monitoring is essential for safeguarding computer networks. However, the increasing scale, complexity, and data volume of modern networks present significant challenges for ...
IEEE

Hybrid CNN-GCN Model for Tumor Classification: Integrating Spatial Relationships in Medical Imaging

Abstract: An effective method of classifying medical images, particularly for tumor diagnosis, is proposed in this paper using a hybrid system combining convolutional neural networks (CNNs) and graph ...
IEEE

A Hybrid CNN-LSTM Multi-Modal for Early Detection and Recurrence Prediction of Ovarian Cancer and Model Transparency using SHAP and LIME

Abstract: Ovarian cancer is one of the deadliest cancers in women because it shows no clear symptoms in the early stages and often returns after treatment. Current detection methods are not strong ...
IEEE

A Multichannel Hybrid 2D–3D-CNN for Hyperspectral Image Classification With Small Training Sample Sizes

Abstract: This article presents an innovative multichannel hybrid 2D–3D-convolutional neural network (MH-2D-3D-CNN) model specifically designed for the challenging task of hyperspectral image ...
IEEE

Short-Term Wind Power Prediction Model Based on MIC-CEEMDAN-VMD-CNN-BiLSTM

Abstract: To enhance the precision of wind power forecasting, this paper proposes a model that employs feature selection and secondary decomposition techniques. Initially, the maximal information ...
GitHub

costajohnt/mermaid-to-pdf-vscode

The magic way: Just ask your AI to create PDF documents with diagrams. The AI will automatically write beautiful documentation and convert it to PDF for you.
IEEE

IoUT-Oriented an Efficient CNN Model for Modulation Schemes Recognition in Optical Wireless Communication Systems

Abstract: The rapid advancement of the Internet of Underwater Things (IoUT) necessitates robust, high-capacity communication systems that can operate efficiently in the challenging conditions of ...
IEEE

Deep Learning Meets Traditional AI: A Hybrid CNN-RF Model for Accurate and Explainable Skin Lesion Classification

Abstract: In dermatology, the task of skin lesion classification is a very important one, for early detection and treatment of skin cancer. In this work, we propose a hybrid AI model where ...