Participation of Energy Storage Batteries in Primary Frequency Control for Power Grid Considering Dynamic Frequency Inertia Characteristics by CAI Zhenhua, LI Canbing, YANG Tongguang, WEI Juan, GE Rui, LI Lixiong

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Smart surgical telementoring system with patch-to-pixel point tracking method by Yanwei Qu, Ling Li, Tongtong Li, Jieyu Zheng, Wentao Tang, Xiaojian Li

“…To mitigate these issues, this study introduces an intelligent surgical telementoring system based on edge computing. This system enables the transmission of points marked by remote doctors to grassroots doctors, updating these points’ coordinates in real-time on the local endoscopic video. …”
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Scalable Fabrication of Neuromorphic Devices Using Inkjet Printing for the Deposition of Organic Mixed Ionic‐Electronic Conductor by Fabian Gärisch, Vincent Schröder, Emil J. W. List‐Kratochvil, Giovanni Ligorio

“…Abstract Recent advancements in artificial intelligence (AI) have highlighted the critical need for energy‐efficient hardware solutions, especially in edge‐computing applications. However, traditional AI approaches are plagued by significant power consumption. …”
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LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach by Mingxin Liu, Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin, Cong Lin

“…Additionally, deployment on the NVIDIA Jetson AGX Orin edge computing device confirms its high real-time performance and suitability for underwater applications, further showcasing the exceptional capabilities of LFN-YOLO.…”
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The Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges by Prabadevi Boopathy, Natarajan Deepa, Praveen Kumar Reddy Maddikunta, Nancy Victor, Thippa Reddy Gadekallu, Gokul Yenduri, Wei Wang, Quoc-Viet Pham, Thien Huynh-The, Madhusanka Liyanage

“…In this review, we present an overview of the metaverse and Industry 5.0, focusing on key technologies that enable the industrial metaverse, including virtual and augmented reality, 3D modeling, artificial intelligence, edge computing, digital twins, blockchain, and 6G communication networks. …”
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The role of 5G network in revolutionizing agriculture for sustainable development: A comprehensive review by Wasif ur Rehman, Mohsin Ali Koondhar, Samandar Khan Afridi, Lutfi Albasha, Idris H. Smaili, Ezzeddine Touti, Mouloud Aoudia, Wassim Zahrouni, Ibrahim Mahariq, M.M.R. Ahmed

“…This paper presents a comprehensive review of the challenges, considerations, and future directions of integrating 5G technologies into smart agriculture, aligning with Sustainable Development Goals (SDGs) such as SDG 2 (Zero Hunger) and SDG 9 (Industry, Innovation, and Infrastructure).Key topics discussed include the necessity of dense network infrastructure, optimization strategies for cross-deployment of 5G and sensing networks, and the role of edge computing in 5G-enabled farming production. Additionally, the paper explores development optimization of various nodes, fault detection, self-healing mechanisms, AI application optimization, and security issues specific to 5G-enabled smart agriculture. …”
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ZSM-Based E2E Security Slice Management for DDoS Attack Protection in MEC-Enabled V2X Environments by Rodrigo Asensio-Garriga, Pol Alemany, Alejandro M. Zarca, Roshan Sedar, Charalampos Kalalas, Jordi Ortiz, Ricard Vilalta, Raul Munoz, Antonio Skarmeta

“…Research on vehicle-to-everything (V2X) is attracting significant attention nowadays, driven by the recent advances in beyond-5G (B5G) networks and the multi-access edge computing (MEC) paradigm. However, the inherent heterogeneity of B5G combined with the security vulnerabilities of MEC infrastructure in dynamic V2X scenarios introduces unprecedented challenges. …”
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Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Scoping Review by Mattias Seth, Hoor Jalo, Åsa Högstedt, Otto Medin, Bengt Arne Sjöqvist, Stefan Candefjord

“…Message queuing telemetry transport (MQTT; 7/30, 23%) and WebSocket (7/30, 23%) were commonly used for real-time emergency alerts, while fog and edge computing were often combined with cloud computing for enhanced processing power and reduced latencies. …”
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Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism by Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam

“…Therefore, the development of optimized deep learning models that are both resource-efficient for edge computing and highly accurate becomes imperative. …”
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Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

“…The model operated on the Jetson Xavier NX controller, which was a high-performance, low-power computing platform designed for edge computing. The system was allowed to process complex tasks in real time directly in the field. …”
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A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities by Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal

“…Through a comprehensive review of recent research and practical implementations, this article highlights the key features, benefits, and challenges associated with the development of cutting-edge computational tools for waste management. Emerging trends and opportunities for research and development in this rapidly evolving field are identified, emphasizing the importance of integrating technological innovations for building sustainable and resilient waste management in smart cities.…”
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Cloud-edge collaboration based computer vision inference mechanism by Boheng TANG, Xingang CHAI

“…The popularity of deep learning and cloud computing has promoted the widespread application of computer vision in various industries.However, centralized cloud inference services have problems such as high bandwidth resource consumption, image data privacy leakage, and high latency.It is hard that satisfy demand which requires diversified computer vision application.The dual gigabit upgrade of the communication network will promote depth collaboration of computer vision cloud-edge algorithms.Aiming to study the computer vision inference mechanism based on cloud-edge collaboration.Firstly, the advantages and disadvantages of the mainstream cloud and edge computer vision inference models in recent years were analyzed and explained, and on this basis, research on the cloud-edge collaborative computer vision inference model framework and deployment mechanism was carried out, model distributed reasoning model segmentation strategy, cloud-side collaborative network deployment optimization strategy was discussed in detail.In the end, the challenge and prospect of deep learning cloud-edge collaboration inference in future was discussed through data collaboration, network partition collaboration, and business function collaboration .…”
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A computation offloading scheme for energy consumption optimization in Internet of vehicles by Wenxuan GAO, Xinjie YANG

“…In Internet of vehicles (IoV), vehicle-oriented applications are generally computation-intensive and latency-sensitive.Introducing idle computing resources from mobile vehicles as a supplement to network computing power can effectively alleviate the load pressure on edge servers.The problem of task allocation for edge computation offloading in the context of IoV environment were researched.By fully leveraging the combined computing resources of roadside units (RSU), user vehicles, and mobile vehicles within the RSU service range, a computation offloading strategy based on the sparrow search algorithm was proposed and referred to as sparrow search based computation offloading scheme (S²COS), aiming to optimize the overall system energy consumption.In addition, this strategy fully taked into account practical network issues such as service time constraints caused by vehicle mobility and the potential occurrence of computation node failures.The simulation results demonstrate that S²COS can meet the latency requirements for computation-intensive and latency-sensitive tasks, while significantly reducing system energy consumption.…”
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Phasor Measurement Units Allocation Against Load Redistribution Attacks Based on Greedy Algorithm by Ali Rahdan, Ali Khaleghi

“…Power grid vulnerability to various cyber-attacks will undoubtedly increase with the widespread use of cutting-edge computer technologies in power systems monitoring and control. …”
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Large Language Models for UAVs: Current State and Pathways to the Future by Shumaila Javaid, Hamza Fahim, Bin He, Nasir Saeed

“…Their expanding capabilities present a platform for further advancement by integrating cutting-edge computational tools like Artificial Intelligence (AI) and Machine Learning (ML) algorithms. …”
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Detection and localization of indigenous economic grasses in depth-color close-range aerial images, using a novel trainingless data-to-decision approach (DIKD Hierarchy), for the S... by Radhwan Sani, Tamer Rabie, Ali Cheaitou

“…This research, in contrast, aims at developing an unsupervised trainingless method that runs on resource-limited edge-computers. The outcome of this research is an Artificial Intelligence (AI) tool for the detection of two economic indigenous forage crops, namely: Cenchrus ciliaris and Pennisetum divisum for the pastures project in the Emirate of Sharjah, United Arab Emirates (UAE). …”
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In Silico Analysis Revealed Five Novel High-Risk Single-Nucleotide Polymorphisms (rs200384291, rs201163886, rs193141883, rs201139487, and rs201723157) in ELANE Gene Causing Autosom... by Khyber Shinwari, Mikhail A. Bolkov, Muhammad Yasir Akbar, Liu Guojun, Svetlana S. Deryabina, Irina A. Tuzankina, Valery. A. Chereshnev

“…We used cutting-edge computational techniques to investigate the effects of ELANE mutations on the sequence and structure of the protein. …”
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Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm by Qi Guo, Rui Li, Changjiang Zheng, Gwanggil Jeon

“…Subsequently, a graph neural network (GNN) is utilized to optimize nodes and edges computationally. At the same time, the global search capability of the model is augmented via an ant colony optimization algorithm to ascertain the final optimized path. …”
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