IEEE

Comparison of CNN Model with Different Machine Learning Models for Fake News Detection

Abstract: Fake news continues to be a critical issue in today's era for any citizen concerned about political integrity and the state of governance. The use of internet has experienced exponential ...
IEEE

Rolling Bearing Fault Diagnosis Based on VMD-CNN-SLSTM Model

Abstract: Convolutional neural networks (CNN) are limited by the local receptive field, making it difficult to capture the shock features of the cross period. In view of this limitation, a ...
IEEE

Epileptic Seizure Prediction Using a Deep Hybrid CNN-GAN Model on EEG Data

Abstract: Epileptic seizure detection from EEG signals is essential for the diagnosis and treatment of neurological conditions. However, this task is difficult because of the complex and fluctuating ...
IEEE

TimeNILM: Time-Aware Dual-CNN Model for Non-Intrusive Load Monitoring

Abstract: Thoroughly monitoring the energy consumption of each appliance in a household is essential to assist users in better engaging in power-saving practices. To get per-appliance electrical ...
IEEE

AI-Powered Lung Cancer Detection: CNN-SVM Hybrid Model with Statistical Insights

Abstract: Liability of lung cancer as a primary cancer mortality agent around the world makes it vital to create diagnostic systems that guarantee both accuracy and operational efficiency. This ...
IEEE

A Hybrid LSTM-CNN Model for Short-Term Photovoltaic Power Forecasting in Italy

Renewable energy sources, such as wind and solar, are becoming more popular for power generation due to their widespread availability and low cost [1], [2]. In 2023, global renewable capacity ...
IEEE

Real-Time Driver Drowsiness Detection Using Hybrid CNN-LSTM Model with Facial Feature and Behavioral Analysis

Abstract: Driver Drowsiness is a leading cause of road accidents. It is responsible for around 20 percent of fatal accidents all around the world. Early detection of driver tiredness is crucial in ...
IEEE

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...
IEEE

Modified Distflow: Novel Power Flow Model for Distribution Grid

Abstract: As the adoption of distributed energy resources (DERs) increases, it introduces several challenges to the distribution grid (DG), including reverse power flow, voltage instability, and grid ...
IEEE

Tokenized Generative Speech Enhancement With Language Model and Flow Matching

Abstract: We propose a novel generative speech enhancement (SE) framework that integrates a language model (LM) and a flow-matching model. To utilize an LM with discrete tokens, we introduce dMel, ...
IEEE

AI-Driven Dermatology: CNN-RF Hybrid Model for Skin Lesion’s Disease Classification

Abstract: The spectrum of skin diseases, based on their nature, poses significant barriers to health that affect individuals internationally. Thus, basic procedures such as accurate and early ...
IEEE

Attention Based CNN-RNN Hybrid Model for Image Captioning

Abstract: Image captioning enables computers understand and interpret visual content by bridging the gap between natural language processing and computer vision. The model proposed in this paper for ...