IEEE

Hybrid CNN-LSTM Framework for Accurate Detection and Classification of Epileptic Seizures using EEG Signals

Abstract: This work introduces a robust hybrid CNN-LSTM framework designed for the reliable identification and categorization of epileptic seizures using electroencephalogram (EEG) signals. The model ...
IEEE

Improving GNNs for Image Classification: Addressing Homophily Challenges

Abstract: Graph Neural Networks (GNNs) are rapidly becoming essential tools in deep learning, but their effectiveness when applied to images is often limited by challenges in graph representation.
IEEE

PGSMamba: Prompt-Guided Shuffle State Space Model for Hyperspectral Image Classification

Abstract: Hyperspectral image classification demands models capable of efficiently capturing complex spectral–spatial relationships and long-range dependencies. Despite significant advances in CNNs ...
IEEE

Hyperspectral Image Classification via Cross-Domain Few-Shot Learning With Multilevel Style and Semantic Enhancement

Abstract: One of the key challenges in cross-domain few-shot hyperspectral image classification (HSIC) lies in effectively leveraging spectral-spatial features while alleviating semantic ...
IEEE

Region-Relation Enhanced GNN-CNN for Image Classification

Abstract: Convolutional Neural Networks (CNNs) excel in local feature extraction but struggle to model regional semantic correlations and global context. This paper proposes a GNNintegrated framework ...
IEEE

CNNGP: Multi-tree Genetic Programming Integrating Pre-trained CNN Features for Fine-Grained Image Classification

Abstract: Fine-grained image classification (FGIC) remains a challenging task due to subtle inter-class differences and significant intra-class variations, particularly under limited training data.
IEEE

Quantifying Resilience of CNN-Based Brain Tumor Classification Under FGSM, PGD, and BIM Attacks

Abstract: Medical image classification has been significantly improved by Convolutional Neural Networks (CNN), enabling efficient and accurate diagnosis, especially in detecting brain tumors. Despite ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
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CNN insider sounds alarm over Kaitlan Collins' 'elite' image

A CNN insider reportedly issues a “wake-up call” to Kaitlan Collins as her presence at an exclusive no-journalists party sparks backlash and questions about her image. Samuel Alito raises question ...
IEEE

Rice Leaf Diseases Classification Using CNN with Transfer Learning

Abstract: In the field of agriculture, plant diseases pose a serious threat to achieving optimal yields and food security; thus, identifying and classifying rice leaf diseases correctly are key points ...
IEEE

CNN-Based Retinal Image Classification for Anemia Detection

Abstract: Anemia is a global health concern impacting vulnerable populations which necessitates improved diagnostic methods beyond traditional approaches such as complete blood count. This study ...