IEEE

Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...
IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
GitHub

4D- LATTE : 4D Radar Drivable Area Automatic Labelling Tools using Deep Learning

First 4D Radar Automatic Labelling tools using Segment Anything (SA) drivable area segmentation on camera using Deep Learning for Autonomous Vehicle. KAIST-Radar (K-Radar) (provided by 'AVELab') is a ...
IEEE

Predictive Modeling for Water Anomaly Detection Using Machine Learning

Abstract: Water scarcity along with poor management of water sources is turning to be a matter of global concern, and this calls for an intelligent monitoring system. This paper introduces a new ...
IEEE

Multi Detection and Segmentation Coconut Shell for Charcoal Briquette Using Mask R-CNN

Abstract: Coconut shell are the raw material for making high-quality charcoal briquettes, and their quality dramatically affects the quality of the final product. Therefore, assessing and determining ...
IEEE

Military Aircraft Classification using Resnet50 based Faster R-CNN for Advanced Military Aircraft Surveillance

Abstract: Satellite-based aircraft surveillance has become a very important aspect in the monitoring of air vehicle activities in military operations. The automatic classification of military aircraft ...
IEEE

Deep Vein Thrombosis Segmentation via Deep Learning based U-Net using MRI Images

Abstract: Deep vein thrombosis (DVT) is a prevalent medical condition. For pulmonary embolism to prevent potentially fatal acute consequences, an accurate identification of deep vein thrombosis is ...
Frontiers

Paddy pest image segmentation based on multiscale attention fusion VM-UNet

1 Henan Agricultural Information Data Intelligent Engineering Research Center, SIAS University, Zhengzhou, China 2 College of Computer, Xijing University, Xi’an, China Precise paddy pest image ...
IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
IEEE

Image-free Tumor Segmentation of Soft Tissue using a Minimally Invasive Robotic Palpation System

Abstract: Tumor segmentation is crucial for surgical planning and precise tumor resection for effective treatment. Traditionally, tumor localization has been performed using medical imaging techniques ...
IEEE

Automated Optic Disc and Cup Segmentation Using Mask R-CNN for Glaucoma Assessment

Abstract: Glaucoma, a leading cause of irreversible blindness, requires precise segmentation of the optic disc and optic cup in fundus images for early diagnosis and progression monitoring. This study ...