Influence of degree of saturation on the thermal conductivity of soils: Experimental and comparative model analysis by Abderrahim Laimech, Feth-Ellah Mounir Derfouf, Khalfallah Mekaideche, Nabil Aboubekr

“…In addition, predictions models may not capture all the nuances of real-world soil conditions, leading to less accurate predictions of ?. …”
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Towards a conceptualised belief-action-outcome model for enhanced non-financial reporting: A systematic and integrative review by Cristina Alexandrina Ştefănescu

“…It catalyzes understanding the link between academic and real-world evidence, supporting regulatory progress, and leading to a virtuous cycle of value creation and meaningful communication. …”
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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

“…We conducted extensive experiments on five real-world traffic datasets, and the experimental results show that the performance of IEDSFAN is significantly better than all baselines.…”
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Identifying vital spreaders in large-scale networks based on neighbor multilayer contributions by Weiwei Zhu, Xuchen Meng, Jiaye Sheng, Dayong Zhang

“…By integrating these two factors, our approach aims to offer a more precise measure of a node's influence within a network.ResultsExtensive experiments were conducted using Kendall’s rank correlation, monotonicity tests, and the Susceptible-Infected-Recovered (SIR) epidemic model on real-world networks. These tests demonstrated the effectiveness of our proposed algorithm in identifying influential spreaders accurately.DiscussionFurthermore, computational complexity analysis indicates that our algorithm consumes less time compared to existing methods, suggesting it can be efficiently applied to large-scale networks.…”
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Comparing moment redistribution in statically indeterminate reinforced concrete beams with and without corrosion by A. G. Tamrazyan, Yehia Ahmed Kotp Sayed

“…The methods involved careful application of corrosion, and the experimental programme aimed to simulate real-world conditions.Results. The experimental results were compared for the beams with and without corrosion. …”
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Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model by Wei Pan, Yukuan Wang, Xinlian Xie, Meng Li, Jinru Fan

“…These findings not only offer valuable guidance for real-world collision risk identification but also contribute to the theoretical advancement of ship collision risk analysis, presenting a novel solution to this pressing issue.…”
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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

“…Advantages over traditional techniques such as dynamic time warping, and Euclidean distance are provided for analyzing real-world hydrological data. The algorithm was optimized on a synthetic Texas aquifer dataset to identify the minimum time series lengths required for accurate clustering (> 90% accuracy). …”
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An optimisation for a two‐round good‐case latency protocol by Kexin Hu, Zhenfeng Zhang, Kaiwen Guo, Weiyu Jiang, Xiaoman Li, Jiang Han

“…A highly efficient Byzantine broadcast protocol, motivated by the real‐world performance of practical state machine replication protocols, is increasingly needed. …”
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IDHOCNET: A Novel ID Centric Architecture for Ad Hoc Networks by Shahrukh Khalid, Athar Mahboob, Choudhry Fahad Azim, Aqeel Ur Rehman

“…We illustrate a number of implemented features of the architecture which include IP address autoconfiguration, identification of nodes by using real world identifiers, IP based services support in ad hoc networks, and a new class of application known as ID based application. …”
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Part A: Innovative Data Augmentation Approach to Enhance Machine Learning Efficiency—Case Study for Hydrodynamic Purposes by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

“…The effectiveness of ML models in real-world applications hinges on the diversity, range, and quality of the data. …”
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Discriminative, generative artificial intelligence, and foundation models in retina imaging by Paisan Ruamviboonsuk, Niracha Arjkongharn, Nattaporn Vongsa, Pawin Pakaymaskul, Natsuda Kaothanthong

“…Whereas AI technology moves forward fast, real-world use of AI models moves slowly, making the gap between development and deployment even wider. …”
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Growth Promotion and Secondary Metabolites of Vegetables by Spraying Soil with <i>Psidium guajava, Aloe vera, Allium sativum</i> and <i>Medicago sativa</i> Extracts at Various Stag... by Ei Ei, Hyun Hwa Park, Yong In Kuk

“…These applications also increased the photosynthesis, flavonoids and antioxidative enzymes (ascorbate peroxide (APOD) and guaiacol peroxidase (GPOD)), which provided the plants with a balanced supply of nutrients essential for growth. In the real world, these results show that the use of natural extracts (<i>P. guajava</i> and <i>A. sativum</i>) can be a sustainable, eco-friendly alternative to synthetic fertilizers and pesticides, helping to improve crop yields and metabolism without harming the environment. …”
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MFEMDroid: A Novel Malware Detection Framework Using Combined Multitype Features and Ensemble Modeling by Wei Gu, Hongyan Xing, Tianhao Hou

“…We performed extensive experiments to evaluate its method performance on real-world samples. The evaluation results demonstrate that the proposed framework can detect malware with an accuracy of 95.38%, which is much better than state-of-the-art solutions. …”
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Loss-Aware Histogram Binning and Principal Component Analysis for Customer Fleet Analytics by Kunxiong Ling, Jan Thiele, Thomas Setzer

“…Furthermore, we demonstrate the benefits of estimating information losses and the representativeness of total loss in evaluating the accuracy of k-means clustering for a real-world customer fleet dataset. For preprocessing sensor data which are aggregated from sufficient number of samples, continuously distributed, and can be represented by Beta-distributions, we recommend not to coarsen the histogram binning before PCA.…”
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SqueezeMaskNet: Real-Time Mask-Wearing Recognition for Edge Devices by Gibran Benitez-Garcia, Lidia Prudente-Tixteco, Jesus Olivares-Mercado, Hiroki Takahashi

“…We also introduced ImproperTFM, a subset of real-world images focusing on improper mask usage, which enhanced the model accuracy when combined with FineFM data. …”
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Efficient multiplayer battle game optimizer for numerical optimization and adversarial robust neural architecture search by Rui Zhong, Yuefeng Xu, Chao Zhang, Jun Yu

“…As a potential optimization technique, EMBGO holds promise for diverse applications in real-world problems and deep learning scenarios. The source code of EMBGO is made available in https://github.com/RuiZhong961230/EMBGO.…”
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Optimizing Train Timetable Based on Departure Time Preference of Passengers for High-Speed Rails by Zhipeng Huang, Huimin Niu, Ruhu Gao, Haoyu Fan, Chenglin Liu

“…A general advanced metaheuristic algorithm embedded with the Frank–Wolfe method is designed to implement the bilevel programming model. Finally, a real-world numerical experiment is conducted to verify the effectiveness of both the model and the algorithm.…”
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A Reinforcement Learning Based Approach for Efficient Routing in Multi-FPGA Platforms by Umer Farooq, Habib Mehrez, Najam Ul Hasan

“…Prototyping using multi-FPGA platforms is unique because of its use in real-world testing and cycle-accurate information on the design. …”
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NAVA: A Network-Adaptive View-Aware Volumetric Video Streaming Framework by Nguyen Long Quang, Truong Thu Huong, Duc Nguyen

“…Volumetric video is the emerging format for representing real-world dynamic objects such as humans in Extended Reality (XR) applications. …”
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On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions by Mike Diessner, Kevin J. Wilson, Richard D. Whalley

“…This assumes that the same applies in a real-world setting, which is often incorrect as many experiments are influenced by uncontrollable environmental conditions such as temperature, humidity, and wind speed. …”
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