Results 41 to 50 of about 1,376 (159)
Alzheimer’s diseases classification using YOLOv2 object detection technique
International Journal of Reconfigurable and Embedded Systems (IJRES), 2022 Early diagnosis and treatment of Alzheimer's disease (AD) is necessary for the patient safety. Computer-aided diagnosis (CAD) is a useful tool for early diagnosis of Alzheimer's disease (AD). We make two contributions to the solution of this problem in this study.
Sara Saad Abd-Aljabar +2 more
openaire +1 more source
Development of a Deep Learning-Based Algorithm to Detect the Distal End of a Surgical Instrument
Applied Sciences, 2020 This work aims to develop an algorithm to detect the distal end of a surgical instrument using object detection with deep learning. We employed nine video recordings of carotid endarterectomies for training and testing.
Hiroyuki Sugimori +4 more
doaj +1 more source
A deep learning technique-based automatic monitoring method for experimental urban road inundation
Journal of Hydroinformatics, 2021 Reports indicate that high-cost, insecurity, and difficulty in complex environments hinder the traditional urban road inundation monitoring approach. This work proposed an automatic monitoring method for experimental urban road inundation based on the ...
Hao Han +10 more
doaj +1 more source
Smart eco-friendly refrigerator based on implementation of architectures of convolutional neural networks [PDF]
E3S Web of Conferences, 2023 The article discusses the solution to the problem of choosing the architecture of a convolutional neural network for use in the computer vision of a smart vending refrigerator.
Alekhina Anna E. +2 more
doaj +1 more source
Multi-object Recognition Method Based on Improved YOLOv2 Model
Information Technology and Control, 2021 A method of vehicle multi-object identification and classification based on the YOLOv2 algorithm is proposed to solve the problems of low detection rate, poor robustness, and unsatisfactory classification effect for the classical multi-object detection and vehicle type classification on real road environment.
Binbin Shi +4 more
openaire +2 more sources
Applied Sciences, 2023 The timely detection and recognizing of distress on an airport pavement is crucial for safe air traffic. For this purpose, a physical inspection of the airport maneuvering areas is regularly carried out, which might be time-consuming due to its size. One
Jiri Maslan, Ludek Cicmanec
doaj +1 more source
YOLOv2 for Pigs Detection in Industrial Farming
, 2020 Generic object detection is one of the most important and flourishing branches of computer vision and has real-life applications in our day to day life. With the exponential development of deep learning-based techniques for object detection, the performance has enhanced considerably over the last 2 decades.
Akif Quddus Khan, Salman Khan
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REAL TIME LOGO RECOGNITION USING YOLOV2 ON ANDROID
, 2023 The goal of this project is to implement an object detection model suitable in terms of size and speed to run on an Android device and detect logos in real-time. The proposed approach is based on YOLOv2 (You Only Look Once) state-of-the-art, real-time object detection for logos and this project used the FlickrLogos-32 dataset.
Primbetov Abbaz +2 more
openaire +2 more sources
Automatic testbed with a visual motion tracking system for airborne wind energy applications
Wind Energy, 2023 The architecture and a flight test campaign of a small‐scale testbed aimed at aerodynamic and dynamic characterization of airborne wind energy systems are presented.
I. Castro‐Fernández +10 more
doaj +1 more source
Zhongguo dianli, 2019 Aiming at the transmission line insulator images obtained by drones or robots, this paper proposes an online recognition and defect diagnosis model of transmission line insulators based on YOLOv2 network.
Qiupin LAI +5 more
doaj +1 more source