Coordinated recovery of interdependent power and water distribution systems by Luis Rodriguez‐Garcia, Mathaios Panteli, Masood Parvania

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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT by Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke

“…Abstract Background Risk stratification of COVID-19 patients can support therapeutic decisions, planning and resource allocation in the hospital. In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support. …”
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A distributed week-ahead scheduling method for the charging / discharging of plug-in electric vehicles integrated into the grid by Yan Cui, Zechun Hu, Yujian Wan, Junsong Li, Chengcheng Shao, Zhiyuan Bao, Xiaoyu Duan

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Research on Pedestrians’ Visual Perception Characteristics Based on USGGS: A Case Study of the Six Inner-City Districts of Tianjin by Hanwen YANG, Shang’en TSOU, Yike HU

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Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

“…The International Telecommunication Union’ (ITU) recommendations Y. 3510 present the requirements for cloud infrastructure that require monitoring the performance of deployed applications based on the collection of real-world statistics. Often, computing resources of monitoring clusters of cloud data centers are allocated for continuous parallel processing of high-speed streaming data, which imposes new requirements to monitoring technologies, necessitating the creation and research of new models of parallel computing. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…However, the effect on measurement accuracy is unclear. (2) Radiologist reading time generally decreased with artificial intelligence assistance in research settings. (3) Artificial intelligence assistance tended to increase allocated risk categories as defined by clinical guidelines. (4) No relevant clinical effectiveness and cost-effectiveness studies were identified. (5) The de novo cost-effectiveness analysis suggested that for symptomatic and incidental populations, artificial intelligence-assisted computed tomography image analysis dominated the unaided radiologist in cost per correct detection of an actionable nodule. …”
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Modeling and Performance Analysis of ECS-HTCARQ Protocol in Interference Scenario by Yongqiang Zhou, Qihao Wang, Zhenggang Song, Suoping Li, Nana Yang

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Cloud-edge MQTT messaging for latency mitigation and broker memory footprint reduction by Yi-Hsuan Tseng, Chao Wang, Yu-Tse Wei, Yu-Ting Chiang

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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

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Microgrid Load Forecasting Based on Improved Long Short-Term Memory Network by Qiyue Huang, Yuqing Zheng, Yuxuan Xu

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Deep reinforcement learning based resource provisioning for federated edge learning by Xingyun Chen, Junjie Pang, Tonghui Sun

“…The MFLD algorithm leverages Deep Reinforcement Learning (DRL) techniques to automatically select UEs and allocate the computation resources according to the task requirement. …”
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PREDICTION OF HAJJ PILGRIMS' HEALTH RISK USING K-NN, DECISION TREE, CROSS VALIDATION, AND SMOTE by Widi Astuti, Fajar Sarasati

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Improved Crime Prediction Using Hybrid Neural Architecture Search Together with Hyperparameter Tuning by Rami Ayied Alshahrani, Tariq Jamil Saifullah Khanzada

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Sum-Power Minimization in Multiuser Single-DF-Relay Networks with Direct Links by Shiguo Wang, Haixia Peng, Xianru Liu

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A Comparative Analysis of Deep Learning Models for Prediction of Microsatellite Instability in Colorectal Cancer by Ziynet Pamuk, Hüseyin Erikçi

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Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect by Kai JIANG, Yue CAO, Huan ZHOU, Xuefeng REN, Yongdong ZHU, Hai LIN

“…As an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechanism while providing a real-time response, intelligent decision-making and network autonomy, realizing the critical leap for internet of vehicles from access “pipelining” to the intelligent enabling platform of information.However, the successful implementation of edge intelligence in internet of vehicles is still in its infancy, and there exists a demand for a comprehensive survey in this young field from a broader perspective.Based on this context of internet of vehicles, the background, concepts and key technologies of edge intelligence were introduced.Then, a holistic overview of service types based on internet of vehicles was taken, and the entire processes of model training and inference in edge intelligence were elaborated.Finally, to promote the potential research directions, the key open challenges of edge intelligence in the internet of vehicles were analyzed, and the coping strategies were discussed.…”
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Machine Learning-Driven QoT Prediction for Enhanced Optical Networks in DWDM System by Sudha Sakthivel, Mohammad Riyaz Belgaum, Aznida Abu Bakar Sajak, Muhammad Mansoor Alam, Mazliham Mohd Su'ud

“…In Optical Communication, the data can be communicated from source to destination through the established lightpaths. …”
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Sameness entices, but novelty enchants in fanfiction online by Elise Jing, Simon DeDeo, Devin Robert Wright, Yong-Yeol Ahn

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Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect by Kai JIANG, Yue CAO, Huan ZHOU, Xuefeng REN, Yongdong ZHU, Hai LIN

“…As an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechanism while providing a real-time response, intelligent decision-making and network autonomy, realizing the critical leap for internet of vehicles from access “pipelining” to the intelligent enabling platform of information.However, the successful implementation of edge intelligence in internet of vehicles is still in its infancy, and there exists a demand for a comprehensive survey in this young field from a broader perspective.Based on this context of internet of vehicles, the background, concepts and key technologies of edge intelligence were introduced.Then, a holistic overview of service types based on internet of vehicles was taken, and the entire processes of model training and inference in edge intelligence were elaborated.Finally, to promote the potential research directions, the key open challenges of edge intelligence in the internet of vehicles were analyzed, and the coping strategies were discussed.…”
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Distributed Relay-Assisted Retransmission Scheme for Wireless Home Networks by Seunghyun Park, Hyunhee Park, Eui-Jik Kim

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