Multi-modal framework for battery state of health evaluation using open-source electric vehicle data by Hongao Liu, Chang Li, Xiaosong Hu, Jinwen Li, Kai Zhang, Yang Xie, Ranglei Wu, Ziyou Song

“…Furthermore, we make the field data of these electric vehicles publicly available aiming to promote further research on the development of effective and reliable battery management systems for real-world vehicles.…”
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Crisscross Moss Growth Optimization: An Enhanced Bio-Inspired Algorithm for Global Production and Optimization by Tong Yue, Tao Li

“…This successful application highlights CCMGO’s potential as a robust and adaptable tool for addressing complex, real-world optimization challenges, particularly those found in resource management and other nature-inspired domains.…”
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Failure Probability Analysis of Coherent Systems using Intuitionistic Fuzzy Fault Tree Approach by Mintu Kumar, S. B. Singh, Monika Manglik

“…This limitation arises because classical fault tree analysis relies on precise data and probabilistic measures, which may not adequately capture inherent uncertainties and vagueness in real-world environments. Therefore, a general approach is required to reliably predict and diagnose system failures that incorporates the uncertainties inherent in failure data. …”
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A tabular data generation framework guided by downstream tasks optimization by Fengwei Jia, Hongli Zhu, Fengyuan Jia, Xinyue Ren, Siqi Chen, Hongming Tan, Wai Kin Victor Chan

“…However, when it comes to generating tabular data, these models often fail to satisfy the constraints of numerical columns, which cannot generate high-quality datasets that accurately represent real-world data and are suitable for the intended downstream applications. …”
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Fostering communicative competence: A task-based approach to public speaking materials development by Ariatna Ariatna

“…Additionally, both the lecturer and students reported positive outcomes, noting significant improvements in the students' public speaking competence and increased engagement due to the real-world relevance of the tasks. …”
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A Program for Master of Information Technology by Kabale University

“…It develops skills applicable to complex real-world problems by blending theory and practice. …”
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Developing a Machine Learning–Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study by Pooja Guhan, Naman Awasthi, Kathryn McDonald, Kristin Bussell, Gloria Reeves, Dinesh Manocha, Aniket Bera

“…In addition, we present experiments conducted on this dataset, along with real-world tests that demonstrate the effectiveness of our method. …”
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The implementation and side effect management of immune checkpoint inhibitors in gynecologic oncology: a JAGO/NOGGO survey by Maximilian Riedel, Helene Herrmann, Thomas Bartl, Anna-Maria Rossner, Anna Tatzber, Chiara Flethe, Dario Zocholl, Barbara Schmalfeldt, Jalid Sehouli, Klaus Pietzner

“…However, reports on real-world clinical experience in the management of ICIs in gynecologic oncology are very limited. …”
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Psychtech & Health: From Interdisciplinarity to a Transdisciplinary Practice by José Vasconcelos-Raposo

“… The scientific journal that we now launch is intended to be a platform for the promotion of interdisciplinary dialogue and, eventually in the long term, the dissemination of the transdisciplinarity that today's real world requires. …”
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An interval valued fuzzy complex proportional assessment (IVF-COPRAS) method to solve MCDM problem with an application by Mahin Ashouri, Abdollah Hadi-Vencheh, Ali Jamshidi

“…This methodology is applied to a real-world case involving the selection of a location for municipal wet waste landfill pits in a major Iranian city. …”
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A Survey of Deep Learning Approaches for Pedestrian Detection in Autonomous Systems by Majdi Sukkar, Rajendrasinh Jadeja, Madhu Shukla, Rajesh Mahadeva

“…All of these results point to continued innovation towards deep learning, multi-sensor integration, and developing datasets to achieve optimal performance levels in real world conditions for autonomous driving systems.…”
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A Novel Influence Maximization Algorithm for a Competitive Environment Based on Social Media Data Analytics by Jie Tong, Leilei Shi, Lu Liu, John Panneerselvam, Zixuan Han

“…Most of the existing influence maximization methods only consider the transmission of a single channel, but real-world networks mostly include multiple channels of information transmission with competitive relationships. …”
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Efficient Moving Object Segmentation in LiDAR Point Clouds Using Minimal Number of Sweeps by Zoltan Rozsa, Akos Madaras, Tamas Sziranyi

“…Traditional methods rely on a (global or local) map of the environment, which can be demanding to acquire and maintain in real-world conditions and the presence of the moving objects themselves. …”
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Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph by Tingpeng Li, Lei Wang, Danhua Peng, Jun Liao, Li Liu, Zhendong Liu

“…In causal learning, discovering the causal graph of the underlying generative mechanism from observed data is crucial. However, real-world data for causal discovery is scarce and expensive, leading researchers to rely on synthetic datasets, which may not accurately reflect real-world performance. …”
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Clinical practice for migraine treatment and characteristics of medical facilities and physicians treating migraine: Insights from a retrospective cohort study using a Japanese cla... by Tsubasa Takizawa, Takahiro Kitano, Kanae Togo, Reiko Yoshikawa, Masahiro Iijima

“…The real-world treatment patterns at medical facilities and their physicians' specialties treating migraine have not been fully investigated in Japan. …”
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Exploring novelties in the causal relationship between economic complexity and natural resource rent: Empirical insights from Nigeria and South Africa by Clement Olalekan Olaniyi, Nicholas M. Odhiambo

“…Relying on linear models oversimplifies the complex realities and socioeconomic conditions of the real world.…”
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Stable Inverse Reinforcement Learning: Policies From Control Lyapunov Landscapes by SAMUEL TESFAZGI, Leonhard Sprandl, Armin Lederer, Sandra Hirche

“…We present a theoretical analysis of the optimality properties provided by the CLF and evaluate our approach using both simulated and real-world, human-generated data.…”
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LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks by Lan Zhang, Yuxuan Hu, Weihua Li, Quan Bai, Parma Nand

“…Our framework addresses the limitations of probabilistic models by simulating realistic, context-aware user behaviours in response to public statements. Using real-world news topics, we demonstrate the effectiveness of LLM-AIDSim in simulating topic evolution and tracking user discourse, validating its ability to replicate key aspects of real-world information propagation. …”
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An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies by Minyu Shen, Chaojing Li, Yuezhong Wu, Xiaowen Bi, Feng Xiao

“…The platform is designed to be easily extensible, allowing users to incorporate real-world datasets and customize detailed operational features. …”
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Lecanemab’s Path Forward: Navigating the Future of Alzheimer’s Treatment in Europe Amidst the EMA's Rejection by Alessandro Martorana, Chiara Giuseppina Bonomi, Martina Gaia Di Donna, Caterina Motta

“…This commentary emphasizes the importance of real-world data on lecanemab's impact on cognitive decline, daily functioning, and side-effect management. …”
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