UK fishermen are reporting a massive octopus bloom in the waters off southwest England. Researchers found a massive ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Several significant research studies related to Preventing Phishing Attacks for Cyber Threat Mitigation have been reviewed ...

DUBAI, United Arab Emirates-- (BUSINESS WIRE)-- Dubai has launched the world’s first icon-based classification system to represent the level of human–machine collaboration in the process of ...

With accurate human detection using YOLO and deep-learning-based feature extraction and classification, this system has gained acceptance. This study’s key contributions include: ...

Human Activity Detection with TensorFlow and Python A simple baseline object detection model (Faster-RCNN with ResNet101 backbone) that can detect basic human activities like walking, running, sitting ...

Target detection and classification is a very important topic in automotive environments, in order to effectively support the automatic driving systems. However, well known methodologies for target ...

Human activity detection is an active research topic now, the difficult problem of fine-grained activity detection is often ignored. This paper proposes a method to detect human activity from still ...

Ultrasound images of the carotid artery are used to provide the extent of stenosis by examining the intima-media thickness and plaque diameter. A total of 361 images were classified using machine ...