A DAG Scheduling Scheme on Heterogeneous Computing Systems Using Tuple-Based Chemical Reaction Optimization by Yuyi Jiang, Zhiqing Shao, Yi Guo

“…In this paper, we have also conducted simulation experiments to verify the effectiveness and efficiency of TMSCRO upon a large set of randomly generated graphs and the graphs for real world problems.…”
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A framework for soft mechanism driven robots by Cem Aygül, Can Güven, Sara A. Frunzi, Brian J. Katz, Markus P. Nemitz

“…This cost-effective framework offers an approach for creating 3D-printed soft robots employable in real-world environments.…”
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Survey of optical-based physical domain adversarial attacks and defense by CHEN Jinyin, ZHAO Xiaoming, ZHENG Haibin, GUO Haifeng

“…Optical-based physical-domain adversarial attack techniques, such as those using projected irradiation as a typical example, are more likely to be overlooked and provided negligible protection due to their perturbations being very similar to effects produced by natural environments in the real world. Given their high degree of invisibility and executability, they could pose a significant or even fatal threat to real systems. …”
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Improved Shape-Finding Method and Parametric Study for Designing Asymmetric Suspension Bridges in Mountainous Terrain by Chenchen Jiang, Yangxun Ou, Weiyu Tang, Shengjun Hou, Rui Luo, Yuhao Jin, Bin Sun

“…To address this gap, based on a real-world suspension bridge with a main span length of 700 m, this paper first presents an improved shape-finding method that can fully consider the components of hanger forces in each construction step. …”
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Urban Traffic Flow Forecasting Based on Graph Structure Learning by Guangyu Huo, Yong Zhang, Yimei Lv, Hao Ren, Baocai Yin

“…., the spatial relationships between roads), which hinders their effectiveness and application in the real world. We propose a novel framework for urban traffic flow forecasting, which simultaneously infers and utilizes the relationship between time series. …”
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Exploring a Design of Landslide Monitoring System by Rahat Khan, Suhail Yousaf, Abdul Haseeb, Muhammad Irfan Uddin

“…By and large, the study lets a significant insight into landslide monitoring before implementing a parameterized application for real-world deployment.…”
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Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training by Rui Zhong, Chao Zhang, Jun Yu

“…These findings practically support the scalability and applicability of HRIME-MSP as an advanced optimization technique for diverse real-world applications.…”
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Fostering critical thinking skills in geography education: An authentic assessment model using field-lab approach by As’ari Ruli, Rosali Ely Satiyasih, Mulyanie Erni

“…This authentic assessment model allows students to be actively involved in the learning process and apply their knowledge and skills in real-world contexts.…”
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Overview and trends in forensic palynology based on a scientometric study in the PubMed database by Agna Souza Silveira, Jaílson Santos de Novais

“…Understanding the evolution of production and scientific information in this field contributes to the real-world application of evidence gathered through research. …”
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A multiscale model for multivariate time series forecasting by Vahid Naghashi, Mounir Boukadoum, Abdoulaye Banire Diallo

“…Extensive experiments on seven real world datasets indicate that our model (MultiPatchFormer) achieves state-of-the-art results by surpassing other current baseline models in terms of error metrics and shows stronger generalizability.…”
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Accurate multi-behavior sequence-aware recommendation via graph convolution networks. by Doyeon Kim, Saurav Tanwar, U Kang

“…Through extensive experiments on real-world datasets, we demonstrate the superior performance of MBA compared to existing methods. …”
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Indoor Positioning in Wireless Local Area Networks with Online Path-Loss Parameter Estimation by Luigi Bruno, Paolo Addesso, Rocco Restaino

“…Many different working conditions are analyzed by simulated data and corroborated through the validation in a real world scenario.…”
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Optimized Skip-Stop Metro Line Operation Using Smart Card Data by Peitong Zhang, Zhanbo Sun, Xiaobo Liu

“…A case study is conducted based on a real world bidirectional metro line in Shenzhen, China, using the time-dependent passenger demand extracted from smart card data. …”
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Evaluation of Merdeka Belajar program of the Kampus Merdeka by Bernadetha Nadeak

“…As for the lecturer himself, the lecturer must be able to interfere with himself (self-disruption), continue to improve their competence from time to time (long-life learner) to be able to become a "companion" for students towards the gateway to the real world of work success and Lecturers are required to have competencies that will be "inherited" to students and have experience in coaching the MKBM program for students, as well as having expertise in designing Postgraduate Learning Outcomes and converting the Semester Credit System.…”
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Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey by Deepak Bhaskar Acharya, Karthigeyan Kuppan, B. Divya

“…We examine its current and potential applications across various fields, including healthcare, finance, and adaptive software systems, emphasizing the advantages of deploying agentic systems in real-world scenarios. The paper also addresses the ethical challenges posed by Agentic AI, proposing solutions for goal alignment, resource constraints, and environmental adaptability. …”
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Deep-Learning-Based Bughole Detection for Concrete Surface Image by Gang Yao, Fujia Wei, Yang Yang, Yujia Sun

“…The effects of noise such as illumination, shadows, and combinations of several different surface imperfections in real-world environments were considered. From the results of image test, the proposed DCNN had an excellent bughole detection performance and the recognition accuracy reached 96.43%. …”
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Three-dimensional ZnS/MoS2 on cellulose paper for determination of Digoxin in urine and plasma by Marzieh Piryaei, Mir Mahdi Abolghasemi, Sodabeh Memari

“…The proposed method provided a straightforward, efficient, and environmentally friendly way for determining digoxin in real-world samples.…”
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COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms by Nasiba M. Abdulkareem, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dathar A. Hasan

“…Weka is used to run tests on real-world data, and four output classification algorithms (Decision Tree, K-nearest neighbors, Random Tree, and Naive Bayes) are used to analyze and draw conclusions. …”
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A Bus-Service-Based Zone Division Approach for the Spatial Analysis of Public Bus: A Case Study in South China by Fanghao Fu, Jiemin Xie, Ming Cai, Wei Huang

“…The BS-based method is compared with the commonly used zone division methods using the real-world data, and the comparison results demonstrate that the BS-based method can be more efficient to support the spatial analysis of bus service.…”
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Effective preprocessing techniques for improved facial recognition under variable conditions by Afolabi I. Awodeyi, Omolegho A. Ibok, Idama Omokaro, Jones U. Ekwemuka, Michael O. Ighofiomoni

“…The results affirm that effective preprocessing strengthens the performance and reliability of facial recognition systems, making them suitable for real-world applications where conditions are often unpredictable.…”
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