An Optimization Method for the Train Service Network Design Problem by Jie Xiao, Yi Xie, Haowei Yu, Hongying Yan

“…To demonstrate the proposed model and the algorithm, a case study on a real-world sub-network in China is carried out. The computational results show that the proposed approach can obtain high-quality solutions with satisfactory speed. …”
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Vertex-Weighted Consensus-Based Formation Control with Area Constraints and Collision Avoidance by Ulises Hernandez-Venegas, Jesus Hernandez-Barragan, Irene Gomez Jimenez, Gabriel Martinez-Soltero, Alma Y. Alanis

“…Additionally, the proposed approach can be implemented considering a group of differential-drive mobile robots in both centralized and decentralized settings. Simulation and real-world experiments are performed to validate the effectiveness of the proposed approach, where the experimental setup includes a multi-robot system composed of Turtlebot3^® Waffle Pi robots.…”
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Edge-AI Enabled Wearable Device for Non-Invasive Type 1 Diabetes Detection Using ECG Signals by Maria Gragnaniello, Vincenzo Romano Marrazzo, Alessandro Borghese, Luca Maresca, Giovanni Breglio, Michele Riccio

“…Furthermore, a custom PCB was developed to validate the system in a real-world scenario. The hardware integrates high-performance electronics with low power consumption, demonstrating the feasibility of deploying Edge-AI for non-invasive, real-time diabetes detection in resource-constrained environments. …”
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Artificial Intelligence in Robotic Manipulators: Exploring Object Detection and Grasping Innovations by Montassar Aidi Sharif, Hanan Hameed Ismael, Muamar Almani Jasim, Farah Zuhair Jasim

“…This also serves as a beacon for future research aimed at fully unleashing the potential of robots as autonomous agents in complex, real-world settings. …”
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Towards Fault Detection in Industrial Equipment through Energy Consumption Analysis: Integrating Machine Learning and Statistical Methods by Baddou Nada, Dadda Afaf, Rzine Bouchra, Hmamed Hala

“…The second part of the model, which focuses on detecting change points in consumption patterns, was evaluated by testing several cost functions combined with binary segmentation and dynamic programming. Applied to a real-world case, it successfully detected a change point two months before equipment failure, offering the potential to reduce energy consumption by 27,052 kWh. …”
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Deep Reinforcement Learning for Intraday Multireservoir Hydropower Management by Rodrigo Castro-Freibott, Álvaro García-Sánchez, Francisco Espiga-Fernández, Guillermo González-Santander de la Cruz

“…We compare them against both a greedy baseline and Mixed-Integer Linear Programming (MILP) solutions. Experiments on real-world data from a two-reservoir system and a simulated six-reservoir system demonstrate that while MILP achieves superior performance in the smaller system, its performance degrades significantly when scaled to six reservoirs. …”
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Dynamic Spatial–Temporal Graph Neural Network for Cooling Capacity Prediction in HVDC Systems by Hao Sun, Shaosen Li, Jianxiang Huang, Hao Li, Guanxin Jing, Ye Tao, Xincui Tian

“…The proposed method demonstrates superior performance over traditional machine learning and deep learning baselines on real-world cooling system data. These results validate the effectiveness of the framework for industrial applications such as cooling system monitoring and predictive maintenance.…”
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See-Then-Grasp: Object Full 3D Reconstruction via Two-Stage Active Robotic Reconstruction Using Single Manipulator by Youngtaek Hong, Jonghyeon Kim, Geonho Cha, Eunwoo Kim, Kyungjae Lee

“…Furthermore, we validate our method on a real robot, showing that it enables full 3D reconstruction of real-world objects.…”
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Performance of subsurface drainage systems considering groundwater flow directions and network alignment by Walaa Abd-Elaziz, Atef Elsaiad, Gehan A. H. Sallam, Alban Kuriqi, Ashraf A. Ahmed, Ismail Abd-Elaty

“…This research was applied to the real-world case of the Mashtul Pilot Area (MPA) in Egypt. …”
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INTERNET COMMUNICATION: NEW CHALLENGES FOR THE YOUTH by D. N. Karpova

“…Their studies reveal that young internet users sometimes lose a strong connection with the real world which is caused by informational overloading or “computer hunger”. …”
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E-PORTFOLIO IN STUDENTS' LEARNING FOR SUSTAINABLE DEVELOPMENT by Oksana Polyakova

“…The study's results show how a method for teaching and researching English backed by technology may be applied in real-world settings. We expect this experience will motivate future efforts to combine the SDGs and ESP in higher education. …”
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UAlpha40: A comprehensive dataset of Urdu alphabet for Pakistan sign languageMendeley Data by Sameena Javaid, Shahood Sajid, Yusra Khan Baloch

“…This dataset was prepared in real-world environments under expert supervision, with volunteers ranging from males to females aged 20 to 45. …”
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Harnessing the potential of shared data in a secure, inclusive, and resilient manner via multi-key homomorphic encryption by David Ha Eun Kang, Duhyeong Kim, Yongsoo Song, Dongwon Lee, Hyesun Kwak, Brian W. Anthony

“…This flexibility is crucial in real-world scenarios, accommodating varying data contribution timelines and unanticipated fluctuations in participant numbers, due to additions and departures. …”
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DLiGRU-X: Efficient X-Vector-Based Embeddings for Small-Footprint Keyword Spotting System by Zong-En Wu, Shao-Jung Chan, Yeshanew Ale Wubet, Kuang-Yow Lian

“…Deployment of deep learning-based speech processing models for real-world applications on devices with limited processing capacity and memory constraints poses significant challenges. …”
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Integrating agent-based models and clustering methods for improving image segmentation by Erik Cuevas, Sonia Jazmín García-De-Lira, Cesar Rodolfo Ascencio-Piña, Marco Pérez-Cisneros, Sabrina Vega

“…Although effective for certain applications, this approach often struggles with the complexity of real-world images, where noise and random variations can significantly affect feature homogeneity, leading to incorrect pixel classifications. …”
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Altered brain dynamics of facial emotion processing in schizophrenia: a combined EEG/fMRI study by Philippa Hüpen, Barbara Schulte Holthausen, Christina Regenbogen, Thilo Kellermann, Han-Gue Jo, Ute Habel

“…The link to TAS-20 scores indicates that this neural deficit has real-world implications for how individuals with schizophrenia perceive and relate to their emotions and the external world, potentially contributing to the social and cognitive difficulties observed in the disorder.…”
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Effectiveness of the educational training program for Japanese chief residents: A one‐year pilot study by Toshinori Nishizawa, Kazuya Nagasaki, Kazuki Tokumasu, Shunsuke Kosugi, Tadayuki Hashimoto, Kosuke Tanaka, Koma Hotta, Sho Isoda, Aiko Harada, Shinya Ishigame, Takuma Hata, Masayuki Nogi

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Backtesting Quantum Computing Algorithms for Portfolio Optimization by Gines Carrascal, Paula Hernamperez, Guillermo Botella, Alberto del Barrio

“…By backtesting classical and quantum computing algorithms, we can get a sense of how these algorithms might perform in the real world. This work establishes a methodology for backtesting classical and quantum algorithms in equivalent conditions, and uses it to explore four quantum and three classical computing algorithms for portfolio optimization and compares the results. …”
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An improved quantum-inspired particle swarm optimisation approach to reduce energy consumption in IoT networks by Yousra Mahmoudi, Nadjet Zioui, Hacène Belbachir

“…These results underscore QIPSOC's superiority over state-of-the-art methods in optimising energy efficiency and performance in IoT networks, making it well-suited for real-world deployment scenarios requiring rapid decision-making.…”
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A Multi-Surrogate Assisted Multi-Tasking Optimization Algorithm for High-Dimensional Expensive Problems by Hongyu Li, Lei Chen, Jian Zhang, Muxi Li

“…Surrogate-assisted evolutionary algorithms (SAEAs) are widely used in the field of high-dimensional expensive optimization. However, real-world problems are usually complex and characterized by a variety of features. …”
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