Results 41 to 50 of about 17,190 (230)
Procrastination Preventor using YOLO [PDF]
ITM Web of Conferences, 2023 According to research, procrastination is a frequent and damaging type of self-regulation failure. With so many deadlines and pressure to complete their work, students struggle with academic procrastination.
Jaybhaye Sangita +5 more
doaj +1 more source
Modified-vehicle detection and localization model for autonomous vehicle traffic system [PDF]
The modification of vehicles for financial gain is an evolving tendency observed in India. Recognizing and detecting of these modified illicit cars is an important but critical task in autonomous vehicles (AV).
Bhadula, Shuchi +2 more
core +2 more sources
HIC-YOLOv5: Improved YOLOv5 For Small Object Detection
2024 IEEE International Conference on Robotics and Automation (ICRA)Small object detection has been a challenging problem in the field of object detection. There has been some works that proposes improvements for this task, such as adding several attention blocks or changing the whole structure of feature fusion networks.
Tang, Shiyi, Zhang, Shu, Fang, Yini
openaire +2 more sources
YOLOv5s_2E: Improved YOLOv5s for Aerial Small Target Detection
IEEE Access, 2023 To address the issues of low accuracy in existing small object detection algorithms, an improved network model algorithm called YOLOv5s_2E is proposed. This method first uses the k-means++ clustering algorithm to calculate the prior boxes of the Visdrone dataset.
Tao Shi, Yao Ding, Wenxu Zhu
openaire +1 more source
Deployment of Kidney Tumor Disease Object Detection Using CT-Scan with YOLOv5
Journal of Applied Informatics and ComputingImage processing plays a crucial role in identifying kidney tumors through CT-Scan images. Object detection technology, particularly YOLO, stands out for its speed and accuracy in facilitating more detailed analysis. Using Flask as a web framework offers
Hastyantoko Dwiki Kahingide, Abu Salam
doaj +1 more source
YOLOv5s-CA: A Modified YOLOv5s Network with Coordinate Attention for Underwater Target Detection
Sensors, 2023 Underwater target detection techniques have been extensively applied to underwater vehicles for marine surveillance, aquaculture, and rescue applications. However, due to complex underwater environments and insufficient training samples, the existing underwater target recognition algorithm accuracy is still unsatisfactory.
Ge Wen +6 more
openaire +3 more sources
Performance Evaluation of Face Mask Detection for Real-Time Implementation on an RPi [PDF]
, 2023 Mask-wearing remains to be one of the primary protective measures against COVID-19. To address the difficulty of manual compliance monitoring, face mask detection models considerate of both frontal and angled faces were developed.
Abu, Patricia Angela R +5 more
core +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Jurnal Saintekom, 2023 The increased use of laptops and smartphones during the COVID-19 pandemic has led to an increase in the number of people suffering from nearsightedness. Convolutional Neural Network (CNN) is a class of deep learning that is capable of recognizing images ...
Pramadika Egamo, Arief Hermawan
doaj +1 more source
TRAINING OF YOLOV5 NEURAL NETWORK FOR CLASSIFICATION OF PLANT SPECIES AND DISEASES BY PHOTOGRAPHS OF PLANT LEAVES [PDF]
, 2023 40% percent of crops are lost every year due to plant diseases. It is physically difficult for people to detect plant diseases in large-scale fields, especially at an early stage.
Belova, Arina Amālija +2 more
core +3 more sources