A systematic review of explainable artificial intelligence in terms of different application domains and tasks

MR Islam, MU Ahmed, S Barua, S Begum - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …

Deep learning-based object detection in augmented reality: A systematic review

Y Ghasemi, H Jeong, SH Choi, KB Park, JY Lee - Computers in Industry, 2022 - Elsevier
Recent advances in augmented reality (AR) and artificial intelligence have caused these
technologies to pioneer innovation and alteration in any field and industry. The fast-paced …

Small-object detection based on YOLOv5 in autonomous driving systems

B Mahaur, KK Mishra - Pattern Recognition Letters, 2023 - Elsevier
With the rapid advancements in the field of autonomous driving, the need for faster and more
accurate object detection frameworks has become a necessity. Many recent deep learning …

A comparative analysis of object detection metrics with a companion open-source toolkit

R Padilla, WL Passos, TLB Dias, SL Netto… - Electronics, 2021 - mdpi.com
Recent outstanding results of supervised object detection in competitions and challenges
are often associated with specific metrics and datasets. The evaluation of such methods …

Explainable intrusion detection systems (x-ids): A survey of current methods, challenges, and opportunities

S Neupane, J Ables, W Anderson, S Mittal… - IEEE …, 2022 - ieeexplore.ieee.org
The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity
challenges has gained traction in industry and academia, partially as a result of widespread …

[HTML][HTML] Automatic damage detection and diagnosis for hydraulic structures using drones and artificial intelligence techniques

Y Zhu, H Tang - Remote Sensing, 2023 - mdpi.com
Large-volume hydraulic concrete structures, such as concrete dams, often suffer from
damage due to the influence of alternating loads and material aging during the service …

A fast and accurate real-time vehicle detection method using deep learning for unconstrained environments

A Farid, F Hussain, K Khan, M Shahzad, U Khan… - Applied Sciences, 2023 - mdpi.com
Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

[HTML][HTML] Pedestrian and vehicle behaviour prediction in autonomous vehicle system—A review

LG Galvão, MN Huda - Expert Systems with Applications, 2024 - Elsevier
Autonomous vehicles (AV) s have become a trending topic nowadays since they have the
potential to solve traffic problems, such as accidents and congestion. Although AV systems …

Underwater object detection based on improved efficientdet

J Jia, M Fu, X Liu, B Zheng - Remote Sensing, 2022 - mdpi.com
Intelligent detection of marine organism plays an important part in the marine economy, and
it is significant to detect marine organisms quickly and accurately in a complex marine …

Multiple object tracking in deep learning approaches: A survey

Y Park, LM Dang, S Lee, D Han, H Moon - Electronics, 2021 - mdpi.com
Object tracking is a fundamental computer vision problem that refers to a set of methods
proposed to precisely track the motion trajectory of an object in a video. Multiple Object …