IEEE

Explainable Brain Tumor Classification using CNN and GradCAM

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
IEEE

Robust UAV Classification in Noisy Environments: A Digital Twin-Driven CNN Approach with ROC Analysis

Abstract: This research presents a systematic evaluation of Deep Learning (DL) models for Unmanned Aerial Vehicle (UAV) classification using Range-Doppler Maps (RDMs) under varying noise conditions. A ...
IEEE

An Improved Gesture Recognition Algorithm Based on the Integration of CNN and Transformer

Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...
IEEE

Multilevel Multimodal CNN–Transformer Fusion Network for Land Use and Land Cover Classification

Abstract: In remote sensing (RS), convolutional neural networks (CNNs) are well-recognized for their spatial–spectral feature extraction capabilities, whereas vision transformers (ViTs), which ...
IEEE

Hybrid CNN-Swin Framework for Detection and Classification of Potato Leaf Diseases

Abstract: Timely and accurate identification of plant diseases is essential for sustainable agricultural practices and food security. This study presents a deep learning-based diagnostic framework ...
IEEE

NC_SGOI: A Node Classification Method for a Streaming Graph Using Lightweight Variable Graph Neural Network

Abstract: With the rapid development of mobile Internet in recent years, a large scale of continuous arrival correlative data, namely dynamic streaming graph, are extensively generated in various ...
IEEE

Feature Extraction and Classification of ECG Signals Using 2-D CNN

Abstract: This work investigates ECG arrhythmia classification using two-dimensional convolutional neural networks (2D CNNs) applied to wavelet-based time–frequency representations. Three CNN ...
IEEE

Depth-Based Matrix Classification for the HHL Quantum Algorithm

Abstract: Under the nearing error-corrected era of quantum computing, it is necessary to understand the suitability of certain post-NISQ algorithms for practical problems. One of the most promising, ...
IEEE

Optimizing Currency Classification and Counterfeit Detection with Machine Learning Algorithms

Abstract: Currency classification and counterfeit detection are crucial for protecting financial security and combating fraud. Traditional detection methods often rely on manual checks or ...
IEEE

Optimizing CNN for IoT Anomaly Detection in 6G using Ant Lion Optimizer and Slime Mould Algorithm

Abstract: The fast spread of the Internet of Things (IoT) and the approaching deployment of 6G networks have presented hitherto unheard-of possibilities and problems in network security. IoT devices ...
IEEE

Convolutional Neural Network-Based PUSCH DMRS Pattern Optimization for 5G New Radio

Abstract: A convolutional neural network (CNN)-based architecture for the optimization of demodulation reference signal (DMRS) patterns is proposed for 5G new radio systems. The proposed architecture ...
IEEE

Brightness-Enhanced Gastrointestinal Endoscopy Image Classification Using CNN-Based Diagnostic Model

Abstract: This study proposes a framework based on a Cycle-Consistent Generative Adversarial Network (CycleGAN) to improve the image brightness and visual continuity of gastrointestinal (GI) ...