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Explainable AI for 6G use cases: Technical aspects and research challenges
Around 2020, 5G began its commercialization journey, and discussions about the next-
generation networks (such as 6G) emerged. Researchers predict that 6G networks will have …
generation networks (such as 6G) emerged. Researchers predict that 6G networks will have …
A review of video-based human activity recognition: theory, methods and applications
Video-based human activity recognition (HAR) is an important task in many fields, such as
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …
healthcare monitoring, video surveillance, and sports analysis. This review paper aims to …
Remote intelligent perception system for multi-object detection
Introduction During the last few years, a heightened interest has been shown in classifying
scene images depicting diverse robotic environments. The surge in interest can be attributed …
scene images depicting diverse robotic environments. The surge in interest can be attributed …
Advanced IoT-based human activity recognition and localization using Deep Polynomial neural network
Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …
human activity recognition, facilitating a wide array of applications from health monitoring to …
Biosensor-driven IoT wearables for accurate body motion tracking and localization
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …
rapid expansion within the realm of research. This domain boasts significant potential across …
Perceptual quality assessment of colored 3D point clouds
3D point clouds have found a wide variety of applications in multimedia processing, remote
sensing, and scientific computing. Although most point cloud processing systems are …
sensing, and scientific computing. Although most point cloud processing systems are …
A fuzzy decision-making system for video tracking with multiple objects in non-stationary conditions
PS Fakhri, O Asghari, S Sarspy, MB Marand… - Heliyon, 2023 - cell.com
Computer vision remains challenged by tracking multiple objects in motion frames, despite
efforts to improve surveillance, healthcare, and human-machine interaction. This paper …
efforts to improve surveillance, healthcare, and human-machine interaction. This paper …
No-reference quality assessment for 3d colored point cloud and mesh models
To improve the viewer's Quality of Experience (QoE) and optimize computer graphics
applications, 3D model quality assessment (3D-QA) has become an important task in the …
applications, 3D model quality assessment (3D-QA) has become an important task in the …
PQA-Net: Deep no reference point cloud quality assessment via multi-view projection
Recently, 3D point cloud is becoming popular due to its capability to represent the real world
for advanced content modality in modern communication systems. In view of its wide …
for advanced content modality in modern communication systems. In view of its wide …
MM-PCQA: Multi-modal learning for no-reference point cloud quality assessment
The visual quality of point clouds has been greatly emphasized since the ever-increasing 3D
vision applications are expected to provide cost-effective and high-quality experiences for …
vision applications are expected to provide cost-effective and high-quality experiences for …