IEEE

Deep Learning-Powered Signature Authentication: The SigVerify CNN Model

Abstract: Verification of signatures is critical for authentication procedures in the legal, banking, and financial domains. A cutting-edge, AI-powered technology called SigVerify Project uses deep ...
IEEE

Learning Frequency-Domain Fusion for Multimodal Remote Sensing Semantic Segmentation

Abstract: Multimodal remote sensing data substantially enhance semantic segmentation accuracy by providing complementary information across sensing modalities. However, fully exploiting and ...
IEEE

An Interpretable Brain Tumour Classification Approach using Machine Learning and CNN-based features

Abstract: Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches.
IEEE

Deep Learning for Satellite Image Classification: A Comparative Analysis of CNN and ResNet-18

Abstract: With the ease of classifying land through satellite imaging, remote sensing has captured the Earth observation domain. Traditional methods for analyzing satellite images relied on manual ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...
IEEE

CNN based Error Level Analysis (ELA) With Scores to Detect Digital Image Manipulation

Abstract: As powerful image editing software are more readily available, authentication of digital images poses a great problem. Most older forgery detection techniques relying on metadata inspection ...
IEEE

Optimized Ensemble Learning for Semantic Segmentation of Satellite Imagery Using DeepLabV3+ and UNet With PSO and Cross-Dataset Evaluation

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
IEEE

Machine Learning for Multi-Class Kidney Tumour Segmentation: Advancing Classification Accuracy

Abstract: Appropriate treatment planning depends heavily on early detection together with accurate sectioning of kidney tumours. The research design introduces a deep learning architecture which ...
IEEE

EICSeg: Universal Medical Image Segmentation via Explicit In-Context Learning

Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...
IEEE

TRAM: Transformer-Based Mask R-CNN Framework for Underwater Object Detection in Side-Scan Sonar Data

Abstract: Accurate detection and segmentation of underwater objects in side-scan sonar (SSS) imagery remain challenging due to noise, cluttered backgrounds, and low-contrast conditions. In this paper, ...
CNN

I’ve had the viral Shark CryoGlow LED Mask for over a year. Here’s why it’s the only one I’ll ever use

LED masks seem to be the “it” skin care device of the moment. In general, they’ve been shown to stimulate skin’s collagen and elastin production using specific wavelengths of light, which correlate to ...