IEEE

Accurate Fake News Detection in Text-Based Content Using K-Nearest Neighbor, LSTM, MLP and CNN Models

Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...
IEEE

CARE: A Comprehensive AI Retinal Expert for Disease Detection Using OCT Imaging and Explainable AI

Abstract: Retinal conditions such as Diabetic Macular Edema (DME), Drusen, and Choroidal Neovascularization (CNV) are among the leading causes of blindness worldwide. These conditions often develop ...
IEEE

Hand Gestures Translation System for Sign Language using CNN Models

Abstract: Sign Language serves as an essential and dynamic medium of communication for individuals who are deaf or hard of hearing, offering a sophisticated system of gestures, body language, and ...
IEEE

Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector

Abstract: Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into a cover image. In conventional methods, a pseudo-noise (PN) sequence functions as a ...
IEEE

Advancements in Semisupervised Remote Sensing Segmentation Using Adaptive Patch Augmentation and Class Ranking Weight

Abstract: Traditional deep semantic segmentation methods rely heavily on large-scale, densely labeled data, which is costly and time-consuming to obtain. Semisupervised frameworks have emerged as a ...
IEEE

Probabilistic Forecasting for Battery Health Estimation Using CNN-LSTM on Augmented Multi-Operation Data

Abstract: Ensuring the safety and reliability of electric vehicles and energy storage systems requires an effective evaluation of lithium-ion battery State of Health (SOH). Most current methods are ...
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 ...
IEEE

Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model

Abstract: Wearable cuffless blood pressure (BP) technology is emerging as a critical tool for monitoring hypertension, the leading risk factor of most cardiovascular diseases. However, current ...
IEEE

SAFH-Net: A Hybrid Network With Shuffle Attention and Adaptive Feature Fusion for Enhanced Retinal Vessel Segmentation

Abstract: Segmenting retinal blood vessels is critical for the early detection of retinal abnormalities. While significant progress has been achieved in vessel segmentation through deep learning ...
IEEE

Semi-Supervised Breast Lesion Segmentation Using Confidence-Ranked Features and Bi-Level Prototypes

Abstract: Automated lesion segmentation through breast ultrasound (BUS) images is an essential prerequisite in computer-aided diagnosis. However, the task of breast segmentation remains challenging, ...
CNN

Stephen Miller says US is using military threat to maintain control of Venezuela

Witness to ICE agents: 'you shot her in the f**king face'; says: 'I can't let this narrative of self-defense go any further' ...
IEEE

Cinematic Scene Classification and Shot Boundary Detection Using Hybrid CNN-LSTM Networks

Abstract: Cinematic scene classification and shot border recognition are two important tasks that are used to automate the analysis and division of video content. This makes it easier to find and ...