Explainable AI for 6G use cases: Technical aspects and research challenges

S Wang, MA Qureshi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
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 …

A review of video-based human activity recognition: theory, methods and applications

TFN Bukht, H Rahman, M Shaheen, A Algarni… - Multimedia Tools and …, 2024 - Springer
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 …

Remote intelligent perception system for multi-object detection

A Alazeb, BR Chughtai, N Al Mudawi… - Frontiers in …, 2024 - frontiersin.org
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 …

Advanced IoT-based human activity recognition and localization using Deep Polynomial neural network

D Khan, A Alshahrani, A Almjally, N Al Mudawi… - Ieee …, 2024 - ieeexplore.ieee.org
Advancements in smartphone sensor technologies have significantly enriched the field of
human activity recognition, facilitating a wide array of applications from health monitoring to …

Biosensor-driven IoT wearables for accurate body motion tracking and localization

NA Almujally, D Khan, N Al Mudawi, M Alonazi… - Sensors, 2024 - mdpi.com
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …

Perceptual quality assessment of colored 3D point clouds

Q Liu, H Su, Z Duanmu, W Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

No-reference quality assessment for 3d colored point cloud and mesh models

Z Zhang, W Sun, X Min, T Wang, W Lu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

PQA-Net: Deep no reference point cloud quality assessment via multi-view projection

Q Liu, H Yuan, H Su, H Liu, Y Wang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
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 …

MM-PCQA: Multi-modal learning for no-reference point cloud quality assessment

Z Zhang, W Sun, X Min, Q Zhou, J He, Q Wang… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …