Nonlinear Stochastic Analysis of Footbridge Lateral Vibration Based on Probability Density Evolution Method by Zheng Yang, Buyu Jia, Quansheng Yan, Xiaolin Yu, Yinghao Zhao

“…Footbridge lateral vibration remains an unsolved problem and is characterized by the following: (1) pedestrians are sensitive to bridge vibration, which causes the pedestrian’s excitation being dependent on the bridge vibration; (2) pedestrian lateral excitation is a stochastic process rather than a perfect periodic load. Therefore, footbridge lateral vibration is essentially a complex nonlinear stochastic vibration system. …”
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A Methodology to Characterize an Optimal Robotic Manipulator Using PSO and ML Algorithms for Selective and Site-Specific Spraying Tasks in Vineyards by Roni Azriel, Oded Degani, Avital Bechar

“…In the proposed methodology, XGBoost models were used to replace the simulation stage in the process and predict the manipulator’s ability to reach the target positions in the spraying task. …”
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An intelligent optimized object detection system for disabled people using advanced deep learning models with optimization algorithm by Marwa Obayya, Fahd N. Al-Wesabi, Menwa Alshammeri, Huda G. Iskandar

“…Among other beneficial technologies, object detection (OD) is a computer technology related to image processing and computer vision (CV), which identifies and describes objects like vehicles, animals, and persons from digital videos and images. …”
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Enhancing commit message quality in software capstone projects with generative AI by Andrés Neyem, Agustín Rios-Letelier, Kevin Céspedes-Arancibia, Juan Pablo Sandoval Alcocer, Marcelo Mendoza

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Comparison of 3D Adaptive Remeshing Strategies for Finite Element Simulations of Electromagnetic Heating of Gold Nanoparticles by Fadhil Mezghani, Dominique Barchiesi, Abel Cherouat, Thomas Grosges, Houman Borouchaki

“…The analysis of the performance of each strategy is based on the convergence of the remeshing process in terms of number of elements. The efficiency of each strategy is also characterized by the number of computation iterations, the number of elements, the CPU time, and the RAM required to achieve a given target accuracy.…”
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DiffTST: Diff Transformer for Multivariate Time Series Forecast by Song Yang, Wenyong Han, Yaping Wan, Tao Zhu, Zhiming Liu, Shuangjian Li

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The optimization method for wind field retrieval using high-density radar networks and its application effect verification by Ran XU, Liping LIU

“…However, for wind field retrieval of large regions using multiple radars, challenges exist, such as high computational requirements and slow processing speeds, which obstruct operational applications. …”
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Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines by Arnau Prat Pou, Enrique Romero, Jordi Martí, Ferran Mazzanti

“…We conclude that these are good starting points to estimate the partition function with AIS with a relatively low computational cost. The procedures presented are not linked to any learning process, and therefore do not require a priori knowledge of a training dataset.…”
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Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches by Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi

“…However, their application to computationally expensive problems remains challenging due to the high cost and significant number of fitness evaluations required during the search process. …”
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Human-Intelligent Information System Collaboration in Digital Twin Environment: Value Proposition, Key Technologies, and Practical Approaches by Fangrui BAI, Shaobo LIANG, Dan WU, Yuheng REN, Fan YANG

“…The supporting technologies in digital twin environment mainly involve data acquisition and data transmission, model twin mainly lies in data fusion and management, image recognition and processing, and process twin mainly involves human-computer interfaces, immersive perception and other key technologies. …”
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Langage, post-politique et automatisation : critique préventive de l’argumentation artificielle by Samuel COSSETTE

“…This article discusses the concepts of post-political, algorithmic governance and language in relation to recent research in argumentation mining, a field of study within Big Data and computational linguistics. This article shows that studies in argumentation mining are particularly oriented towards political debate and offer methods to depoliticize the debate process, but are still incapable of grasping all of language’s specificities.…”
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Effects of uncertainty in the design parameters during the design of horizontal gravity oil, gas and water separators by Abubakar Juma Chilala, Milan Stanko, Oras J. Mkinga

“…Abstract The design of bulk separators for oil, gas, and water vessel-type gravity separators significantly affects the cost of topside and subsea oil- and gas-processing installations. There are often many uncertainties during the design process, such as the separator performance, fluid properties, and variation and evolution of the inlet conditions. …”
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The effect of discovery learning on chest pass learning outcomes in basketball games by Puguh Satya Hasmara, Basuki Basuki, Ilmul Ma'arif, Guntum Budi Prasetyo

“…Instruments include a chest pass process assessment test and a skill test bouncing the ball against the wall, a descriptive test data analysis technique, and a t-test with the help of the SPSS computer program. …”
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Using the optimal combined index weight ratio to improve the probability of anomaly detection in big area additive manufacturing by Monique S. McClain, Dhrubajit Chowdhury, Omar Eldaghar, Kris Villez

“…Big Area Additive Manufacturing (BAAM) of composites requires significant time, energy, and material, so it is critical to reduce production inefficiencies to make functional parts without multiple iterations. Statistical process control coupled with Principal Component Analysis (PCA) is a powerful technique that provides a quick, computationally inexpensive, and intuitive way for operators to detect defects that form in a manufacturing process without massive datasets. …”
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Reliability Analysis of Multi-Autonomous Underwater Vehicle Cooperative Systems Based on Fuzzy Control by Yu Hao, Yuan Yao, Yanbo Zhang, Fang Zuo

“…Therefore, in the design process of multi-AUV cooperative systems, there is usually some uncertainty in the parameters. …”
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The The new CAP and the challenge of sustainability: a synthetic indicator for the Italian wine sector by Roberta Sardone, Simonetta De Leo, Davide Longhitano, Roberto Henke

“…Indeed, wine is much ahead of other sectors in the process of sustainability certification both for the process and the product itself. …”
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Application of the rapid prototyping technique to design a customized temporomandibular joint used to treat temporomandibular ankylosis by Suresh M. Chaware, Vaibhav Bagaria, Abhay Kuthe

“…A three-dimensional computed tomography (CT) scan suggested features of bony ankylosis of left TMJ. …”
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Experimental and artificial neural network based analysis of solvent blends for dewaxing of crude oil by A. Tripathy, Nimisha, G. Nath, R. Paikaray

“…The present work describes the solvent dewaxing process through by analysis of basic fundamental interactions with computations of different acoustic parameters in presence of a high frequency ultrasonic wave. …”
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Frequency Scanning-Based Dynamic Model Parameter Estimation: Case Study on STATCOM by Hyeongjun Jo, Juseong Lee, Soobae Kim

“…The increase in model complexity causes greater computational workload and presents challenges for grid stability analysis. …”
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Electroweak corrections in the SMEFT: four-fermion operators at high energies by Hesham El Faham, Ken Mimasu, Davide Pagani, Claudio Severi, Eleni Vryonidou, Marco Zaro

“…This motivates the inclusion of EW corrections not only for SM predictions but also for analyses within SMEFT. In this work, we compute EW corrections in the high-energy limit for a selected set of dimension-six operators, specifically the class of four-fermion contact interactions, in key hard-scattering processes relevant to both current and future colliders: top-quark pair production at the Large Hadron Collider (LHC) and in a muon collider scenario, as well as the Drell-Yan process at the LHC. …”
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