A Review of Computer Vision Technology for Football Videos by Fucheng Zheng, Duaa Zuhair Al-Hamid, Peter Han Joo Chong, Cheng Yang, Xue Jun Li

“…Future directions should prioritize super-resolution techniques to enhance video quality and improve small-object detection performance, collaborative efforts to build diverse and richly annotated datasets, and the integration of contextual game information (e.g., score differentials and time remaining) to improve predictive models. …”
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Skin in the game: a review of computational models of the skin by Seda Ceylan, Didem Demir, Cayla Harris, Semih Latif İpek, Vasileios Vavourakis, Marco Manca, Sandrine Dubrac, Roman Bauer

“…While significant advancements have been made, challenges such as data availability, model validation, and interdisciplinary collaboration persist. This review highlights the current state-of-the-art in computational modeling in dermatology, identifies key challenges, and outlines its prospects.…”
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Advancing Alzheimer's Therapy: Computational strategies and treatment innovations by Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, Tooba Gulzar, Muhammad Talal Rahim Afghan, Omar Faruk Talukder, Samar Shahzadi, Ajit Ghosh

“…Collaborative efforts between computational biologists, pharmacologists, and clinicians are essential to translate computational insights into clinically actionable interventions, ultimately improving patient outcomes and addressing the unmet medical needs of individuals affected by AD. …”
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Guiding principles and considerations for designing a well-structured curriculum for the brain-computer interface major based on the multidisciplinary nature of brain-computer inte... by Hengyuan Yang, Hengyuan Yang, Tianwen Li, Tianwen Li, Lei Zhao, Lei Zhao, Yanzhao Wei, Xiaogang Chen, Jiahui Pan, Yunfa Fu, Yunfa Fu

“…Brain-computer interface (BCI) is a novel human-computer interaction technology, and its rapid development has led to a growing demand for skilled BCI professionals, culminating in the emergence of the BCI major. …”
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Task Offloading Scheme Based on Proximal Policy Optimization Algorithm by Yutong Ma, Junfeng Tian

“…On the basis of traditional cloud edge collaborative architecture, the collaborative computing mechanism between edge node devices is further integrated, and the concept of service caching is introduced to reduce duplicate data transmission, reduce communication latency and network load, and improve overall system performance. …”
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Mobile AR/VR in 5G based on convergence of communication and computing by Yiqing ZHOU, Bule SUN, Yanli QI, Yan PENG, Ling LIU, Zhilong ZHANG, Yitong LIU, Danpu LIU, Zhaoxin LI, Lin TIAN

“…Oriented to 5Gmobile communication network combining with communication and computation,the characteristics ofmobile AR/VR information processing and transmission were analyzed,and the ability to integrate communication and computation was proposed,and the capability of integrating communication and computing was proposed.In the future 5Gmobile communication network,multi-level computing will be used to solve the problem of limited computing capacity ofmobile terminals by the capability ofmulti-level computing nodes in collaborative network.Intelligent transmissionmechanism could overcome the problem of unstable transmission capacity ofmobile channel by efficient spectrum sensing,layered coding and adaptive space port transmission,and themobile AR/VR service delay was ensured by using delay guaranteemechanism and cooperativemanagement of communication and computing resources.The research status and development trend ofmobile AR/VRmulti-level computingmodel,intelligent transmissionmechanism and service delay guarantee was reviewed,the existing problems were summarized and the next research direction was put forward.…”
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Mobile AR/VR in 5G based on convergence of communication and computing by Yiqing ZHOU, Bule SUN, Yanli QI, Yan PENG, Ling LIU, Zhilong ZHANG, Yitong LIU, Danpu LIU, Zhaoxin LI, Lin TIAN

“…Oriented to 5Gmobile communication network combining with communication and computation,the characteristics ofmobile AR/VR information processing and transmission were analyzed,and the ability to integrate communication and computation was proposed,and the capability of integrating communication and computing was proposed.In the future 5Gmobile communication network,multi-level computing will be used to solve the problem of limited computing capacity ofmobile terminals by the capability ofmulti-level computing nodes in collaborative network.Intelligent transmissionmechanism could overcome the problem of unstable transmission capacity ofmobile channel by efficient spectrum sensing,layered coding and adaptive space port transmission,and themobile AR/VR service delay was ensured by using delay guaranteemechanism and cooperativemanagement of communication and computing resources.The research status and development trend ofmobile AR/VRmulti-level computingmodel,intelligent transmissionmechanism and service delay guarantee was reviewed,the existing problems were summarized and the next research direction was put forward.…”
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The Ethical Significance of Brain-Computer Interfaces as Enablers of Communication by Toma Gruica

“…Barriers to and mediators of brain-computer interface user acceptance: Focus group findings. …”
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Indicator Engineering on a Cloud-Edge GIS Platform Assisting Post-Seismic Reconstruction and Rehabilitation by Fabio Franchi, Francesco Zullo, Alessandra Galassi

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DIS Agent: New Paradigm of S&T Documentation and Information Service for the Fifteenth Five-Year Plan by LIU Xiwen, FU Yun, WEI Huanan

“…Externally, through interactions between agents, information experts, and specific intelligence scenarios, a new working paradigm emerges: "human and multi-agent collaboration". In the future, when planning and designing the implementation of DIS agents, it is essential to focus on both the technical adaptability at the current R&D stage and the potential security risks in future application stages. …”
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Multi-constrained trusted cooperative task migration strategy for edge computing by Guangxue YUE, Yasheng DAI, Xiaohui YANG, Youkang ZHU, Zhenxu YOU, Jiansheng LIU

“…In order to guarantee the quality of service of edge computing,a trusted cooperative task distribution strategy for edge computing under multi-dimensional constraints was proposed.The strategy was based on the task requirements,and the edge computing collaborative service leader node organizes the coordinated service alliance members.The priority of cooperative service alliance was determined based on the K-dimension weight index of user task migration.Using the load balancing of the members as the adaptive function,the task allocation and dispatch of alliance members were performed by greedy algorithm.The backup node was selected based on routing piggyback,and the priority of migration was evaluated.The scheduling and migration of collaborative services in case of abnormal collaborative services were realized,which improved the quality of service of edge computing task migration and ensured the reliability of task migration.The simulation results show that the mechanism can effectively complete the task distribution and migration scheduling,improve the collaborative efficiency of edge computing,and guarantee the quality of network service.…”
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Harnessing conversion bridge strategy by organic semiconductor in polymer matrix memristors for high‐performance multi‐modal neuromorphic signal processing by Weijia Dong, Xuan Ji, Chuanbin An, Chenhui Xu, Xuwen Zhang, Bin Zhao, Yuqian Liu, Shiyu Wang, Xi Yu, Xinjun Liu, Yang Han, Yanhou Geng

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Edge intelligence:a new nexus of edge computing and artificial intelligence by Zhi ZHOU, Shuai YU, Xu CHEN

“…Artificial intelligence (AI) and edge computing (EC) represent two of today’s most popular technologies.There is a great potential to coordinate these two emerging techniques to facilitate the further advent of both sides.Through three research cases,the profound benefits were demonstrated when AI and EC synergize.Specifically,from the perspective of EC for AI,to efficiently run deep learning at the network edge,a collaborative and on-demand deep neural network (DNN) co-inference framework with device-edge synergy was proposed.By applying DNN partitioning and right-sizing,it minimizes the inference latency under target accuracy.On the other hand,from the perspective of AI for EC,for the dynamical placement of edge computing services,two methods were proposed:an online-learning based adaptive service migration strategy and a factor graph model driven predictive service migration technique.…”
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Fog computing based radio access networks：architecture，principles and challenges by Bonan YIN, Yuan AI, Mugen PENG

“…To reduce the burden of fronthaul link，avoid large-scale wireless signal processing in centralized baseband unit（BBU）pool，and take full advantage of processing and storage capabilities in edge devices，a fog computing based radio access network（F-RAN）was presented as an evolution form of heterogeneous cloud radio access networks.The core idea of F-RAN was to take full advantage of processing and storage capabilities in edge devices which could achieve the local distributed content delivery，the local distributed collaboration radio signal processing and the local distributed cooperative radio resource management functions.System architectures of F-RAN，promising key techniques，and researching open issues of F-RAN were discussed in detail.…”
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Edge computing privacy protection method based on blockchain and federated learning by Chen FANG, Yuanbo GUO, Yifeng WANG, Yongjin HU, Jiali MA, Han ZHANG, Yangyang HU

“…Aiming at the needs of edge computing for data privacy, the correctness of calculation results and the auditability of data processing, a privacy protection method for edge computing based on blockchain and federated learning was proposed, which can realize collaborative training with multiple devices at the edge of the network without a trusted environment and special hardware facilities.The blockchain was used to endow the edge computing with features such as tamper-proof and resistance to single-point-of-failure attacks, and the gradient verification and incentive mechanism were incorporated into the consensus protocol to encourage more local devices to honestly contribute computing power and data to the federated learning.For the potential privacy leakage problems caused by sharing model parameters, an adaptive differential privacy mechanism was designed to protect parameter privacy while reducing the impact of noise on the model accuracy, and moments accountant was used to accurately track the privacy loss during the training process.Experimental results show that the proposed method can resist 30% of poisoning attacks, and can achieve privacy protection with high model accuracy, and is suitable for edge computing scenarios that require high level of security and accuracy.…”
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Quantum Computing in Health Care and Dentistry: Transformative Potential, Applications, and Challenges by Roja Lakshmi Karri, Chinta Priyanka Reddy, Sindhuri Yerra, Juneda Vahid Shaik, Srujananjali Grandhi, Tejaswi Gavidi

“…Quantum computing, powered by principles such as superposition and entanglement, holds the promise to revolutionize health care and dentistry by solving problems that classical computers struggle with. …”
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Computational-aided understanding of metabolic mechanism: A case study by Zi-Xuan Wang, Ming-Yu Bai, Xing-Feng Ni, Qian Liu, Nuo Qiao, Meng-Yuan Zhang, Jin Yang, Qing-Qing Li, Ning Huang, Meng Sun, Zong-Hao Zhao, Ning Ding, Yan-Cheng Yu, Xiao-Long Wang, Shan-Liang Sun, Chen-Xiao Shan, Nian-Guang Li, Zhi-Hao Shi

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Empowering drones in vehicular network through fog computing and blockchain technology. by Shivani Wadhwa, Divya Gupta, Shalli Rani, Maha Driss, Wadii Boulila

“…Fog computing was introduced for the Drone with Blockchain Technology (FCDBT) model, where drones collaborate to process IoT data efficiently. …”
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Quantum Computing and the Law: Navigating the Legal Implications of a Quantum Leap by Kasim Balarabe

“…The unique characteristics of quantum algorithms and hardware pose significant challenges for the existing patent system, necessitating a clear and consistent framework for protecting quantum innovations while fostering collaboration. The threat of quantum computing to current encryption methods highlights the urgent need for forward-looking data protection policies and the adoption of post-quantum cryptography. …”
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Blockchain and signcryption enabled asynchronous federated learning framework in fog computing by Zhou Zhou, Youliang Tian, Jinbo Xiong, Changgen Peng, Jing Li, Nan Yang

“…Federated learning combines with fog computing to transform data sharing into model sharing, which solves the issues of data isolation and privacy disclosure in fog computing. …”
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