AI-Powered Object Detection in Radiology: Current Models, Challenges, and Future Direction by Abdussalam Elhanashi, Sergio Saponara, Qinghe Zheng, Nawal Almutairi, Yashbir Singh, Shiba Kuanar, Farzana Ali, Orhan Unal, Shahriar Faghani

“…This review also highlights the importance of interdisciplinary collaboration among artificial intelligence researchers, radiologists, and policymakers. …”
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FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research by Daniel Mauricio Jimenez Gutierrez, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti

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Novel Artificial Intelligence Applications in Energy: A Systematic Review by Tai Zhang, Goran Strbac

“…Overall, the evidence positions AI as a pivotal enabler of cleaner, more reliable, and efficient energy systems, though progress will depend on data quality, computational resources, legacy system integration, equity considerations, and interdisciplinary collaboration. …”
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Combined Multi-Agent and Centralized Resource Allocation in Cloud Radio Access Networks by Rehenuma Tasnim Rodoshi, Rezoan Ahmed Nazib, Chanjun Chun, Wooyeol Choi

“…The centralized controller, located within the BBU pool, collaborates with virtual base stations (VBSs) acting as multi-agent system (MAS) agents. …”
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Positive Energy Districts Enabling Smart Energy Communities by Dimitrios Siakas, Harjinder Rahanu, Elli Georgiadou, Kerstin Siakas, Georgios Lampropoulos

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Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk by Jennifer Stone, John Shepherd, Giske Ursin, John L Hopper, Chao Wang, Evenda Dench, Daniela Bond-Smith, Ellie Darcey, Grant Lee, Ye K Aung, Ariane Chan, Jack Cuzick, Ze Y Ding, Chris F Evans, Jennifer Harvey, Ralph Highnam, Meng-Kang Hsieh, Despina Kontos, Shuai Li, Shivaani Mariapun, Carolyn Nickson, Tuong L Nguyen, Said Pertuz, Pietro Procopio, Nadia Rajaram, Kathy Repich, Maxine Tan, Soo-Hwang Teo, Nhut Ho Trinh, Isabel dos-Santos-Silva, Valerie McCormack, Mads Nielsen

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Reproducibility of a new device for robotic‐assisted TKA surgery by Domenico Alesi, Vito Gaetano Rinaldi, Tosca Cerasoli, Davide Valente, Giulio Maria Marcheggiani Muccioli, Stefano Zaffagnini

“…This experimental cadaveric study aimed to evaluate the accuracy and reproducibility of the collaborative image‐free Robin robotic system to support its future clinical application. …”
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A Mixed-Integer Linear Programming Model for Addressing Efficient Flexible Flow Shop Scheduling Problem with Automatic Guided Vehicles Consideration by Dekun Wang, Hongxu Wu, Wengang Zheng, Yuhao Zhao, Guangdong Tian, Wenjie Wang, Dong Chen

“…This research highlights the importance of integrated production–transportation scheduling for reducing manufacturing cycle time and reveals a threshold effect in AGV resource allocation, providing a theoretical basis for collaborative optimization in smart factories.…”
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Consumer Acceptance, Social Behavior, Driving, and Safety Issues Regarding Electric Vehicles in Oman by Sabareesaan Kannammal Jayabalan, Ahmed Said Obaid Albusaidi, Gaurav Singh Negi, Mohammed Ismail Iqbal, Hussein Al Abdulqader

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Edge–Cloud Intelligence for Sustainable Wind Turbine Blade Transportation: Machine-Vision-Driven Safety Monitoring in Renewable Energy Systems by Yajun Wang, Xiaodan Wang, Yihai Wang, Shibiao Fang

“…To address these challenges, this study proposes an intelligent safety monitoring framework that combines machine vision with edge–cloud collaboration. The framework employs an optimized YOLOv7-Tiny model. …”
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A meta-analysis of program for the reduction of physical restraint use in intensive care units in China (国内ICU患者缩减身体约束行动实施效果的Meta分析) by CHEN Zetao (陈泽涛), LI Xiaobing (李晓彬), SHI Yu (石宇), ZHANG Yanfei (张雁飞), YANG Wencai (杨文才), SHAN Miaohang (单妙航)

“…Subgroup analysis results showed that collaboration between medical and nursing staff could further reduce the rate of physical restraint use (χ²=13. 989, P＜0. 01). …”
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UAV photogrammetry for red tide monitoring and geo-localization via onboard GNSS/IMU data by Mengran Yang, Yichen Ma, San Jiang, Cheng Yin, Wei Huang

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YOLO-UIR: A Lightweight and Accurate Infrared Object Detection Network Using UAV Platforms by Chao Wang, Rongdi Wang, Ziwei Wu, Zetao Bian, Tao Huang

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Inter-Cloud Data Security Framework to Build Trust Based on Compliance with Controls by Syed Imran Akhtar, Abdul Rauf, Muhammad Faisal Amjad, Ifra Batool

“…The future of cloud is the “cloud of clouds,” where cloud service providers (CSPs) collaborate with each other to provide ever-scalable solutions to their customers. …”
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Factors measuring the readiness of teacher educators’ to use web 2.0 technologies by Saira Soomro, Arjumand Bano, Yonis Gulzar, Golooba Moses

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Outlook on human-centred design in industry 5.0: towards mass customisation, personalisation, co-creation, and co-production by Nastaran Hasani, Abbas Hosseini, Yasaman Ashjazadeh, Victoria Diederichs, Salar Ghotb, Mariapaola Riggio, Eric Hansen, Vahid Nasir

“…Furthermore, it investigates the role of technological enablers (artificial intelligence, digital twins, computational design, digital fabrication, robotics, augmented/virtual reality), in facilitating communication and collaboration throughout the design process from observation and ideation to prototyping and testing. …”
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Neoantigen-based immunotherapy: advancing precision medicine in cancer and glioblastoma treatment through discovery and innovation by Moawiah M Naffaa, Ola A Al-Ewaidat, Sopiko Gogia, Valiko Begiashvili

“…Additionally, the article discusses the ongoing development of personalized immunotherapies targeting tumor mutations, emphasizing the need for continued collaboration between computational and experimental approaches. …”
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Operator as a Service: A New Concept for Remote Supervision of Automated Manufacturing Lines by Marco Ojer, Sergio Valdes, Ander Garcia, Xabier Oregui, Iker Gastesi, Xiao Lin, Inigo Mendizabal-Arrieta, Jairo R. Sanchez, Elena Lazkano

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Artificial Intelligence in Revolutionizing Kidney Care and Beyond: Kid-AI Revolution by Kounaina Khan, Farhan Zameer, Pratheek Jain, Ravi KR, Vidya Niranjan, Manoj S, Ravish H, Subrahmanya Padyana

“…Recent advancements in artificial intelligence (AI) have significantly impacted the diagnosis and treatment of kidney diseases, offering novel approaches for precise quantitative assessments of nephropathology. The collaboration between computer engineers, renal specialists, and nephropathologists has led to the development of AI- assisted technology, presenting promising avenues for renal pathology diagnoses, disease prediction, treatment effectiveness assessment, and outcome prediction. …”
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TARES: A Game-Based Tangible Augmented Reality English Spelling Mastery System With Minimal Cognitive Load by Catherine Akoth Ongoro, Yong-Yi FanJiang, CHI-Huang Hung, Bing-Jun Lin, Justin Guo

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