Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleJune 2024
Defect detection for CCGA solder column based on machine vision
ICMLC '24: Proceedings of the 2024 16th International Conference on Machine Learning and ComputingPages 264–270https://doi.org/10.1145/3651671.3651722With the characteristics of high I/O packaging density and excellent electrothermal performance, ceramic column grid array (CCGA) packaging has been widely used in highly reliable applications such as aerospace. For CCGA solder column, defect detection ...
- ArticleJanuary 2024
A New Approach for Counting and Identification of Students Sentiments in Online Virtual Environments Using Convolutional Neural Networks
Advances in Computational Intelligence. MICAI 2023 International WorkshopsPages 29–40https://doi.org/10.1007/978-3-031-51940-6_4AbstractIn this paper, we discuss the importance of counting students and the identification of their sentiments using convolutional networks, specifically YoloV3 and Deepface. First, we discuss the importance of counting and identifying students’ ...
- research-articleMarch 2024
Design of Lung Chest X-Ray Recognition System Based on Deep Learning
ICITEE '23: Proceedings of the 6th International Conference on Information Technologies and Electrical EngineeringPages 462–469https://doi.org/10.1145/3640115.3640190To solve the key problem of qualitative diagnosis of patients facing the novel coronavirus in the world, this research proposes a hospital chest X-ray identification management system based on MySQL and Yolov3. The algorithm has adjusted the cascading ...
- articleSeptember 2023
MC-YOLO-Based Lightweight Detection Method for Nighttime Vehicle Images in a Semantic Web-Based Video Surveillance System
International Journal on Semantic Web & Information Systems (IJSWIS-IGI), Volume 19, Issue 1Pages 1–18https://doi.org/10.4018/IJSWIS.330752Semantic web-based video surveillance systems can provide strong decision-making support for managers, and they have high requirements for real-time and precision of vehicle detection models in complex night scenes. To address this issue, a lightweight ...
- ArticleMarch 2023
Evaluating and Bench-Marking Object Detection Models for Traffic Sign and Traffic Light Datasets
AbstractObject detection is an important sub-problem for many computer vision applications. There has been substantial research in improving and evaluating object detection models for generic objects but it is still not known how latest deep learning ...
- research-articleNovember 2022
Detection of K-complexes in EEG signals using deep transfer learning and YOLOv3
Cluster Computing (KLU-CLUS), Volume 26, Issue 6Pages 3985–3995https://doi.org/10.1007/s10586-022-03802-0AbstractThe K-complex is one of the most important and noticeable features in the electroencephalography (EEG) signal, therefore its detection is critical for EEG signal analysis. It is used to diagnose neurophysiologic and cognitive disorders as well as ...
- ArticleAugust 2022
A Real-Time Adaptive Thermal Comfort Model for Sustainable Energy in Interactive Smart Homes: Part II
AbstractClothing garments directly affect the human body's thermal balance and thermal comfort. The ideal thermal balance is when the body's temperature remains neutral and the environment is not affecting it. Nevertheless, achieving that thermal balance ...
- research-articleSeptember 2021
Detection of small objects in complex long-distance scenes based on Yolov3
DSIT 2021: 2021 4th International Conference on Data Science and Information TechnologyPages 98–102https://doi.org/10.1145/3478905.3478926In view of the difficulty in detecting and managing illegal buildings, this article uses high-definition cameras mounted on a tower to regularly capture images to construct the “Suspected Illegal Building Information” dataset. Due to the high distance ...
- research-articleMay 2021
Object Detection with Auto-Learning Anchor Algorithm
ICAIP '20: Proceedings of the 4th International Conference on Advances in Image ProcessingPages 27–34https://doi.org/10.1145/3441250.3441262As an effective auxiliary means for object detection task, region anchors are widely adopted in most of state-of-the art detectors. However, anchor's location and shape in those works are normally determined by experience or some preprocessing methods, ...