Strategy Selection to Enhance Customer Data Quality using AHP: Case Study of General Insurance Company (PT XYZ) by Adinda Rizkita Syafira, Achmad Nizar Hidayanto, Widijanto Satyo Nugroho, Rahmat Mustafa Samik-Ibrahim

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An analytical framework for regional integration development in the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration using fuzzy clustering by Manchang Du

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Cyber-physical-social system:a data-centric framework by Shuying ZHAI, Bin GUO, Ru LI, Tingliang WANG, Zhiwen YU, Xingshe ZHOU

“…Cyber-physical-social system(CPSS) connects the cyber space,the physical space,and the social space,which has become a promising human-in-the-loop computing system.The unique features of CPSS from the data-centric level were characterized,including the interweaving of spatio-temporal data,the fusion of cross-space data and the collaboration of human and machine intelligence.Furthermore,a general framework for data-centric CPSS was built,with the underpinnings such as resource management,collaborative sensing,data pre-processing,data fusion,and privacy protection.Finally,the major application areas of data-centric CPSS (e.g.…”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…To address the challenges in multi-robot collaborative SLAM, including excessive redundant computations and low processing efficiency in candidate loop closure selection during front-end loop detection, as well as high computational complexity and long iteration times due to global pose optimization in the back-end, this paper introduces several key improvements. …”
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A deep learning based hybrid recommendation model for internet users by Amany Sami, Waleed El Adrousy, Shahenda Sarhan, Samir Elmougy

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Efficiency Design of Traction Inverters Based on Deep Learning and TRIZ by LIAGN Kaiwei, JIAO Bi, LIU Yongjiang, LING Zhenjun, SU Li, XIE Haibo

“…Due to the above technical difficult, this paper introduces deep learning algorithm into the theory of invention problem solving (Teoriya Resheniya Izobreatatelskikh Zadatch, TRIZ) , concentrates on the collaborative innovation method based on deep learning and TRIZ principles. …”
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A Spatial–Frequency Combined Transformer for Cloud Removal of Optical Remote Sensing Images by Fulian Zhao, Chenlong Ding, Xin Li, Runliang Xia, Caifeng Wu, Xin Lyu

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A Comparative Evaluation of Recommender Systems Tools by Ayoub Akhadam, Oumayma Kbibchi, Loubna Mekouar, Youssef Iraqi

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An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration by Muhammad Muzamil Aslam, Liyanage Chandratilak De Silva, Rosyzie Anna Awg Haji Mohd Apong, Ali Tufail

“…This paper presents a novel collaborative data processing framework that enhances anomaly detection in ICS by integrating the Grey Wolf Optimizer with Autoencoders. …”
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A Trusted Batch Authentication Mechanism Based on Tree for Power Internet of Things by Baohua ZHAO, Zhihao WANG, Liandong CHEN, Chunhui REN, Fajiang YU, Qing XU

“…This paper proposed a trusted batch authentication mechanism based on unbalanced hash tree, which is suitable for power Internet of things based on cloud-edge collaborative. The edge computing architecture of cloud-edge collaboration is adopted to lighten the load of cloud platform. …”
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Dynamic assessment approach for intelligent power distribution systems based on runtime verification with requirements updates by Yunshuo Li, Xiangjun Duan, Yuanyuan Xu, Cheng Zhao

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Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization by Laura Bergomi, Giovanna Nicora, Marta Anna Orlowska, Chiara Podrecca, Riccardo Bellazzi, Caterina Fregosi, Francesco Salinaro, Marco Bonzano, Giuseppe Crescenzi, Francesco Speciale, Santi Di Pietro, Valentina Zuccaro, Erika Asperges, Paolo Sacchi, Pietro Valsecchi, Elisabetta Pagani, Michele Catalano, Chandra Bortolotto, Lorenzo Preda, Enea Parimbelli

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Hydrological connectivity: a review and emerging strategies for integrating measurement, modeling, and management by Dipankar Dwivedi, Ronald E. Poeppl, Ellen Wohl

“…Moving forward, we highlight the importance of interdisciplinary collaboration, technological innovations (e.g., AI-driven modeling, real-time monitoring), and integrated frameworks to improve connectivity measurement, modeling, and adaptive management to restore fragmented hydrologic networks. …”
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Perceptions of ethical decision-making climate among clinicians working in European and US ICUs: differences between religious and non-religious healthcare professionals by Hanne Irene Jensen, Hans-Henrik Bülow, Lucas Dierickx, Stijn Vansteelandt, Rosanna Vaschetto, Gábor Élö, Ruth Piers, Dominique D. Benoit

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Quantum Computing: Navigating the Future of Computation, Challenges, and Technological Breakthroughs by Qurban A. Memon, Mahmoud Al Ahmad, Michael Pecht

“…The field is highly collaborative and recent developments such as superconducting qubits with increased scaling, reduced error rates, and improved cryogenic infrastructure, trapped-ion qubits with high-fidelity gates and reduced control hardware complexity, and photonic qubits with exploring room-temperature quantum computing are some of the key developments pushing the field closer to demonstrating real-world applications. …”
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Research on Multi-vehicle Cooperative Simulation Platform for Intelligent Driving System of Mine Truck by NIU Lipeng, ZHANG Sha, ZHANG Zhaoyang, CHEN Huaguo, QING Guangming

“…Therefore, according to the characteristics of multi-vehicle collaborative control and complex and changeable environment of mine trucks, this paper builds a set of mine trucks intelligent multi-vehicle collaborative simulation platform that includes ground management and supervision system, vehicle intelligent driving computing platform, mining scene model, vehicle sensor model, and multi-vehicle collaborative simulation communication interface. …”
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Using Time Clusters for Following Users’ Shifts in Rating Practices by Dionisis Margaris, Costas Vassilakis

“…This aspect is taken into account by the most widely used similarity metric in user-user collaborative filtering, namely, the Pearson Correlation, which adjusts each individual user rating by the mean value of the ratings entered by the specific user, when computing similarities. …”
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Balancing Privacy and Utility in Split Learning: An Adversarial Channel Pruning-Based Approach by Afnan Alhindi, Saad Al-Ahmadi, Mohamed Maher Ben Ismail

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OPGW fault localization method based on transformer and federated learning by Yan Zhigang, Cui Min, Su Xinyue, Wang Jinrui, Ma Xiao, Wu Lijun

“…A fault localization and analysis method for Optical Power-Grade Ground Wire (OPGW) based on transformer and federated learning (FedL) in a cloud edge collaborative environment is proposed. First, based on the cloud edge collaboration architecture, a model framework for OPGW fault location is designed through the collaboration between the cloud center and edge computing. …”
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Off-Cloud Anchor Sharing Framework for Multi-User and Multi-Platform Mixed Reality Applications by Aida Vidal-Balea, Oscar Blanco-Novoa, Paula Fraga-Lamas, Tiago M. Fernández-Caramés

“…The proposed framework enables local storage and synchronization of spatial anchors, offering a robust and autonomous alternative for real-time collaborative experiences. Such anchors are digital reference points tied to specific positions in the physical world that allow virtual content in MR applications to remain accurately aligned to the real environment, thus being an essential tool for building collaborative MR experiences. …”
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