An interpretable machine learning model to predict hospitalizations by Hagar Elbatanouny, Hissam Tawfik, Tarek Khater, Anatoliy Gorbenko

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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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DLBWE-Cys: a deep-learning-based tool for identifying cysteine S-carboxyethylation sites using binary-weight encoding by Zhengtao Luo, Zhengtao Luo, Zhengtao Luo, Qingyong Wang, Qingyong Wang, Qingyong Wang, Yingchun Xia, Yingchun Xia, Yingchun Xia, Xiaolei Zhu, Xiaolei Zhu, Xiaolei Zhu, Shuai Yang, Shuai Yang, Shuai Yang, Zhaochun Xu, Zhaochun Xu, Lichuan Gu, Lichuan Gu, Lichuan Gu

“…Unfortunately, there are currently no computational tools that can accurately predict these sites, posing a significant challenge to this area of research. …”
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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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Multi-Stage Data-Driven Framework for Customer Journey Optimization and Operational Resilience by Tzu-Chien Wang, Ruey-Shan Guo, Chialin Chen, Chia-Kai Li

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Assessment of Farmers’ Perception on Potato Farming Systems in North Western Ethiopia by Momina Aragaw, Tesfaye Abebe, Wallelign Worku, Tadele Amare

“…Aim of the study: Aim of the study Assessing the perception of north western Ethiopia farmers’ on the role of potato in the farming system Material and methods: Material and methods Elders with different socioeconomic back grounds and experience on potato production were used for this study. A proportional allocation formula was employed. Data was collected from both primary and secondary sources. …”
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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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Designing and conducting adaptive trials to evaluate interventions in health services and implementation research: practical considerations by Robert J Glynn, Niteesh K Choudhry, Julie C Lauffenburger, Lorenzo Trippa, Massimiliano Russo, Steffen Ventz

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Actors and roles in integration of electric vehicles in energy markets and power systems: Theory, glossary, and application to virtual power plant and fleet operator by Jan F. Heinekamp, Kai Strunz

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The Rising Cost of Cyberattacks: Trends and Impacts across Industries by Saif Al-Deen H. Hassan, Ali Abulridha Rasheed, Alaa Abdulshaheed Mousa, Zahraa Abed Hussein, Bhavna Ambudkar

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Research on frequency modulation of thermal power units combined with compressed air energy storage based on model predictive control by You Lv, Hao Sun, Bin Wu, Yijun Shi, Fang Fang

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From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness by Andreea Cristina Ionica, Stanislav Cseminschi, Monica Leba

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Identification of Linkages between the Competitive Potential and Competitive Position of SMEs Related to their Internationalization Patterns Shortly after the Economic Crisis by Piotr Trąpczyński, Barbara Jankowska, Marlena Dzikowska, Marian Gorynia

“…Research, Design & Methods: The study is based on a complementary data set derived from secondary (AMADEUS database) and primary sources of information (computer assisted telephone interviews with top managers) for 553 micro, small and medium firms located in Poland. …”
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The Development and Construction of City Information Modeling (CIM): A Survey from Data Perspective by Wenya Yu, Xiaowei Zhou, Dongsheng Wang, Junyu Dong

“…With rapid urbanization exacerbating the challenges in resource allocation, environmental sustainability, and infrastructure management, City Information Modeling (CIM) has emerged as an indispensable digital solution for smart city development. …”
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Resilient Operation Strategies for Integrated Power-Gas Systems by Behdad Faridpak, Petr Musilek

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Resource Management Based on Security Satisfaction Ratio with Fairness-Aware in Two-Way Relay Networks by Jun Zhao, Zhaoming Lu, Xiangming Wen, Haijun Zhang, Shenghua He, Wenpeng Jing

“…The joint problem of power allocation, and subchannel pairing and allocation aims to maximize the security satisfaction ratio for legitimate users subject to limited power and subchannel constraints. …”
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Development of deep learning models for high-resolution exposome mapping and health impact assessment by Lan Luan, Zhu Daoyu

“…Complementing AMSEN, the Adaptive Exposure Optimization Strategy (AEOS) enhances model efficiency and accuracy through dynamic resource allocation, uncertainty-guided refinement, and domain-specific prior enforcement.ResultsThese methodologies significantly advance the capabilities of exposome research by providing a robust, adaptive, and high-resolution modeling framework.DiscussionThe experimental findings highlight the effectiveness of our approach, showcasing enhancements in exposure prediction precision, computational performance, and practical insights for public health policymaking. …”
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Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

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An overview of distributed economic dispatch of microgrids: advances and challenges by Lei Sun, Wenjing An, Yangkai Chen, Peifeng Zhao, Derui Ding

“…Traditional centralized ED methods are not always able to meet the ED demands of microgrids that mostly use distributed power sources. Consequently, distributed ED (i.e. DED) schemes are receiving more research attention because of their high reliability, scalability and uniformity in communication and computation loads. …”
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