A comprehensive survey on applications of AI technologies to failure analysis of industrial systems
Component reliability plays a pivotal role in industrial systems, which are evolving with
larger complexity and higher dimensionality of data. It is insufficient to ensure reliability and …
larger complexity and higher dimensionality of data. It is insufficient to ensure reliability and …
Transdet: Toward effective transfer learning for small-object detection
Small-object detection is a challenging task in computer vision due to the limited training
samples and low-quality images. Transfer learning, which transfers the knowledge learned …
samples and low-quality images. Transfer learning, which transfers the knowledge learned …
Fusion-driven deep feature network for enhanced object detection and tracking in video surveillance systems
Object detection and tracking (ODT) is a crucial research area in video surveillance (VS)
systems and poses a significant challenge in computer vision and image processing. The …
systems and poses a significant challenge in computer vision and image processing. The …
Study of Traditional, Artificial Intelligence and Machine Learning Based Approaches for Moving Object Detection
A Joshi, Amrita, RS Mathur, N Kumar… - … Models Using Artificial …, 2024 - Wiley Online Library
The automated detection and tracking of objects in motion from visual data like images and
videos is a classic problem in computer vision that has gained renewed interest and seen …
videos is a classic problem in computer vision that has gained renewed interest and seen …
[PDF][PDF] Real-Time Pedestrians Detection and Tracking in Disaster Areas Using Deep Learning Algorithms
AB Adege - Journal of Interdisciplinary Studies, 2024 - ajids.com.et
Pedestrian detection and tracking in disaster-prone areas, such as valleys, deserts,
beaches, and mountainous regions, present significant challenges due to the rugged terrain …
beaches, and mountainous regions, present significant challenges due to the rugged terrain …