[HTML][HTML] Current advances in imaging spectroscopy and its state-of-the-art applications
Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …
system and has gained widespread acceptance as a non-destructive scientific instrument for …
A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …
found applications in various medical object detection tasks. This has been accompanied by …
Hand gestures classification using electrical impedance tomography images
Human–computer communication using hand gestures has always been difficult. More than
half a century ago, people used differentways of interactionwith computers from the early …
half a century ago, people used differentways of interactionwith computers from the early …
[PDF][PDF] A comprehensive systematic review of yolo for medical object detection (2018 to 2023)
ABSTRACT You Only Look Once (YOLO) is a popular object detection algorithm that has
been applied to a variety of medical object detection tasks. A systematic search was …
been applied to a variety of medical object detection tasks. A systematic search was …
EMO-MoviNet: Enhancing Action Recognition in Videos with EvoNorm, Mish Activation, and Optimal Frame Selection for Efficient Mobile Deployment
The primary goal of this study is to develop a deep neural network for action recognition that
enhances accuracy and minimizes computational costs. In this regard, we propose a …
enhances accuracy and minimizes computational costs. In this regard, we propose a …
An efficient detection framework for aerial imagery based on uniform slicing window
X Yang, Y Song, Y Zhou, Y Liao, J Yang, J Huang… - Remote Sensing, 2023 - mdpi.com
Drone object detection faces numerous challenges such as dense clusters with overlap**,
scale diversity, and long-tail distributions. Utilizing tiling inference through uniform sliding …
scale diversity, and long-tail distributions. Utilizing tiling inference through uniform sliding …
View-adaptive graph neural network for action recognition
Skeleton-based recognition of human actions has received attention in recent years
because of the popularity of 3-D acquisition sensors. Existing studies use 3-D skeleton data …
because of the popularity of 3-D acquisition sensors. Existing studies use 3-D skeleton data …
YOLOv5-M: A deep neural network for medical object detection in real-time
COVID-19 pandemic is still a global health issue, causing about 684 million cases and 6.84
million deaths around the world. Personal protective equipment (PPE) such as gloves, face …
million deaths around the world. Personal protective equipment (PPE) such as gloves, face …
Unravelling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review
Abstract Optical Coherence Tomography (OCT) is an emerging technology that provides
three-dimensional images of the microanatomy of biological tissue in-vivo and at micrometer …
three-dimensional images of the microanatomy of biological tissue in-vivo and at micrometer …
Experimental solution for estimating pedestrian locations from UAV imagery
This research describes an experimental solution used for estimating the positions of
pedestrians from video recordings. Additionally, clustering algorithms were utilized to …
pedestrians from video recordings. Additionally, clustering algorithms were utilized to …