IEEE

Integrating Local and Global Features via CNN and Mamba for Semi-Supervised Change Detection

Abstract: Semi-supervised change detection (SSCD) has become increasingly important in remote sensing image (RSI) analysis due to the scarcity of labeled data. While state-of-the-art SSCD methods have ...
IEEE

A Novel Dense-Swish-CNN With Bi-LSTM Framework for Image Deepfake Detection

Abstract: Artificial intelligence (AI) developments have revolutionized technologies and methodologies, particularly for malicious uses, especially since the advent of generative adversarial networks ...
IEEE

Evaluating the Impact of Feature Engineering in Phishing URL Detection: A Comparative Study of URL, HTML, and Derived Features

Abstract: Phishing attacks have evolved into sophisticated threats, making effective cybersecurity detection strategies essential. While many studies focus on either URL or HTML features, limited work ...

What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
IEEE

Polyp Segmentation with Transformer-CNN Integration and Multi-Scale Feature Fusion

Abstract: Polyp segmentation is, thus far, an essential task in the medical domain, especially in diagnosing and treating colorectal diseases. Polyps are abnormal tissue developments, which emerge on ...
IEEE

CNN-Based Robust Harmonic Feature Extraction for Open-Circuit Fault Detection and Localization in Modular Multilevel Converters

Abstract: This letter presents a novel convolutional neural network (CNN)-based methodology for robust and accurate open-circuit fault detection and submodule (SM) localization in modular multilevel ...
IEEE

Alcoholic EEG Signal Feature Extraction Based on Relative Wavelet Bispectrum and Bispectrum-Gaussian Using CNN and ANN Classifier

Abstract: A person who is addicted to alcohol is most likely to have problems related to health and brain function, such as in doing cognitive tasks. Thus, detecting the alcoholic condition is ...
IEEE

UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection

Abstract: Anomaly detection (AD) is a crucial visual task aimed at recognizing abnormal pattern within samples. However, most existing AD methods suffer from limited generalizability, as they are ...
IEEE

A Hierarchical Patch Feature Distribution Network for Industrial Multiscale Defect Detection

Visual inspection of surface defects in industrial products is crucial for quality control but remains challenging due to unpredictable and multiscale defects. Unsupervised anomaly detection methods ...
IEEE

Robust CNN-based Musical Instrument Recognition with Enhanced Feature Learning

Abstract: Musical instrument recognition is a challenging task with applications in music information retrieval, audio processing, and automated transcription. This study presents a Convolutional ...
IEEE

A CNN-BiLSTM Model with Multi-Level Feature Fusion for Multifunctional Peptide Prediction

Abstract: A novel framework for multifunctional peptide prediction is introduced in this study, which extracts features from peptide sequences through multiple perspectives. Firstly, peptide sequences ...
IEEE

Exploring Fine-Grained Visual-Text Feature Alignment With Prompt Tuning for Domain-Adaptive Object Detection

Abstract: Domain-adaptive object detection (DAOD) aims to generalize detectors trained in labeled source domains to unlabeled target domains by mitigating domain bias. Recent studies have confirmed ...