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

Optimized Colon Cancer Nuclei Classification Using Hybrid Swin Transformer and CNN Model: A Comparative Study

Abstract: Colon cancer remains a significant global health issue, and early identification plays a crucial role in improving patient outcomes. This study focuses on enhancing the automated ...
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

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 ...
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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

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 ...
IEEE

Deep Learning-Driven Image Classification of Jellyfish: A CNN Model Approach

Abstract: Rising in importance as an environmental problem, jellyfish blooms impair aquaculture infrastructure, upset marine ecosystems, and reveal human health risks. Good early reaction and ...
IEEE

CNN-Based Image Forgery Detection Using Sequential Deep Learning Architecture

Abstract: The wide availability of digital image editing tools and software has made it highly straightforward to tamper with or modify digital media or photographic evidence, which shows that it is ...