Application of predator-prey optimization for task scheduling in cloud computing by Zahra Jalali Khalil Abadi, Behnam Mohammad Hasani zade, Najme Mansouri, Mohammad Masoud Javidi

“…The balance between exploration and exploitation makes it suitable for solving real-world problems in unknown spaces. The PPO-based Task Scheduling algorithm (PPOTS) has the goal of reducing execution time and makespan while increasing resource utilization. …”
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Enhancing social functioning using multi-user, immersive virtual reality by D. J. Holt, N. R. DeTore, B. Aideyan, L. Utter, L. Vinke, D. S. Johnson, J. Zimmerman, K. N. Dokholyan, A. Burke

“…In addition, comfort with others in the real world (p = 0.02) and facial affect recognition accuracy (p = 0.02) significantly increased, while interpersonal distances remained unchanged, following ROOM. …”
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Value-Oriented Consciousness by V. V. Matyushina

“…The system of meanings that is moulded in the course of perceiving the real world services and works as a specific system to direct a person in life. …”
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EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

“…EdgeGuard outperforms existing solutions in terms of computational performance, data value, and privacy protection across a wide range of real-world medical datasets. This work enhances safe, effective, and privacy-preserving medical data management in IoMT ecosystems while maintaining outstanding standards for data security and resource efficiency, enabling large-scale collaborative learning in healthcare.…”
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Virtual Cities: From Digital Twins to Autonomous AI Societies by Andrey Nechesov, Ivan Dorokhov, Janne Ruponen

“…Virtual Cities (VCs) transcend simple digital replicas of real-world systems, emerging as complex socio-technical ecosystems where autonomous AI entities function as citizens. …”
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Modelling and Analysis of Autonomous Airport Surface Movement Operations based on Multi-Agent Planning by Malte von der Burg, Alexei Sharpanskykh

“…We defined different sizes of aircraft, accounted for a minimal safety distance between them, and calibrated their speed limits in curves with historic ADS-B data. Using the real-world flight schedules of two of the busiest days at Amsterdam Airport Schiphol, including different runway configurations, we examine the performance of the autonomous taxiing system with respect to the historic operations. …”
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Implementation and Performance of Lightweight Authentication Encryption ASCON on IoT Devices by Gabriela Cagua, Valerie Gauthier-Umana, Carlos Lozano-Garzon

“…Additionally, ASCON is implemented on Raspberry Pi devices to validate its feasibility in real-world scenarios. Results demonstrate that ASCON enables efficient and secure communications while minimizing computational overhead, making it a viable solution for IoT environments with constrained resources. …”
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Swirling Flow and Wall Shear: Evaluating the BioMimics 3D Helical Centerline Stent for the Femoropopliteal Segment by Timothy M. Sullivan, Thomas Zeller, Masato Nakamura, Colin G. Caro, Michael Lichtenberg

“…A 271-patient multicenter international MIMICS-2 trial and a 500-patient real-world MIMICS-3D registry are underway.…”
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Development of Deep Intelligence for Automatic River Detection (RivDet) by Sejeong Lee, Yejin Kong, Taesam Lee

“…The results show that the augmentation models better generalize new data and can improve performance in real-world environments. Additionally, the RivDet artificial intelligence model for automatic river path configuration developed in the current study is expected to solve various problems, such as automatic flow rate estimation for river disaster prevention, setting early flood warnings, and calculating the range of flood inundation damage.…”
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Use of patient-centred outcome measures alongside the personal wheelchair budget process in NHS England: A mixed methods approach to exploring the staff and service user experience... by Lorna Tuersley, Naa Amua Quaye, Kalpa Pisavadia, Rhiannon Tudor Edwards, Nathan Bray

“…Use was explored in a real-world setting, aiming to produce guidance for use alongside the PWB process.…”
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Learning Automata Based Incremental Learning Method for Deep Neural Networks by Haonan Guo, Shilin Wang, Jianxun Fan, Shenghong Li

“…Most of the progress on deep learning in recent years lied on supervised learning, for which the whole dataset with respect to a specific task should be well-prepared before training. However, in the real-world scenario, the labeled data associated with the assigned classes are always gathered incrementally over time, since it is cumbersome work to collect and annotate the training data manually. …”
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Differential Private POI Queries via Johnson-Lindenstrauss Transform by Mengmeng Yang, Tianqing Zhu, Bo Liu, Yang Xiang, Wanlei Zhou

“…Two popular point of interest queries, <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-NN and Range, are used to evaluate the method on two real-world data sets. Extensive comparisons against two representative differential privacy-based methods show that the proposed method not only provides a strict privacy guarantee but also significantly improves performance.…”
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Generative Image Steganography via Encoding Pose Keypoints by Yi Cao, Wentao Ge, Chengsheng Yuan, Quan Wang

“…Additionally, the method is optimized for fast inference and lightweight deployment, enhancing its real-world applicability.…”
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Cloud-Based License Plate Recognition: A Comparative Approach Using You Only Look Once Versions 5, 7, 8, and 9 Object Detection by Christine Bukola Asaju, Pius Adewale Owolawi, Chuling Tu, Etienne Van Wyk

“…According to the results, YOLOv8 is reported the most effective model for real-world deployment due to its strong cloud performance. …”
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Identifying the Fields and Mechanisms of Value Co-creation in Foreign Language Institutions Using Fuzzy DEMATEL Ranking Approach (Case Study: Tehran, Iran) by Seyed Mohammad Sobhani, Morteza Soltani, Mohammad Reza Fathi

“…Co-creation amongst companies and customers is one of the most prospective areas in both consumers' cyber-space and the real world, and also quite an emerging research territory which has not been the target of particular research studies in Iran yet; however, the same handful of studies are conducted to highlight the necessity for more rigorous investigations to understand this phenomenon. …”
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The solution of super-scale DEA models based on preference character by Zhanxin Ma, Hao Li, Yinjie, Ziwei Fan

“…By delving into these relationships, it becomes feasible to address super-scale DEA problems more swiftly, aligning with the need for timeliness in real-world efficiency evaluations and reducing time costs. …”
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Economic control of next generation aerospace fleets by Felipe Montana, Will Jacobs, Evangelia Pontika, Panagiotis Laskaridis, Matthew Griffiths, Peter Beecroft, Derek Wall, Visakan Kadirkamanathan, Andrew R Mills

“…Results are provided for a real-world case study targeting the optimal economic operation of a fleet of aerospace gas turbine engines.…”
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Optimizing Multimodal Transportation: A Novel Decision-Making Approach With Fuzzy Risk Assessment by R. Muthunandhini, K. Palanivel

“…The results underscore the potential of this hybrid methodology to enhance decision-making in complex, real-world transportation scenarios. The advantage of using dual-faceted model incorporates diverse transportation methods and fuzzy logic for risk evaluation, thus enabling balanced, adaptive decision-making. …”
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Exploring the Stability and Capacity Characteristics of Mixed Traffic Flow with Autonomous and Human-Driven Vehicles considering Aggressive Driving by Yun Li, Shengrui Zhang, Yingjiu Pan, Bei Zhou, Yanan Peng

“…With the popularization of autonomous vehicle (AV) technology, mixed traffic flows that consist of AVs and human-driven vehicles (HDVs) will appear in the real world. Although many studies of the features of mixed traffic flow have been carefully evaluated, few studies have focused on the effect of aggressive driving performance on mixed traffic flow. …”
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Lung Nodule Detection For CT-Guided Biopsy Images Using Deep Learning by B. Prashanthi, S.P. Angelin Claret

“…Beyond academia, the findings of this study have significant implications for real-world healthcare settings. By providing a reliable and automated solution for lung nodule detection, this research contributes to early diagnosis and personalized treatment strategies for lung cancer patients. …”
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