Energy Optimization Strategy for Wind–Solar–Storage Systems with a Storage Battery Configuration by Yufeng Wang, Haining Ji, Runteng Luo, Bin Liu, Yongzi Wu

“…This computational approach enabled the determination of an optimal scheme for the coordinated operation of wind, solar, and storage components within the integrated energy system. …”
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Analysis and Estimation of Core Damage Frequency of Flow Blockage and Loss of Coolant Accident: A Case Study of a 10 MW Water-Water Research Reactor-PSA Level 1 by F. Ameyaw, R. Abrefah, S. Yamoah, S. Birikorang

“…The probabilistic safety assessment (PSA) Level 1 was conducted using a commercial computational tool, system analysis program for practical coherent reliability assessment (SAPHIRE) 7.0. …”
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Measuring Disruptions in Last-Mile Delivery Operations by Andrés Muñoz-Villamizar, Elyn L. Solano-Charris, Lorena Reyes-Rubiano, Javier Faulin

“…Motivated by free, innovative, and efficient tools, such as the Google application programming interface (API) and Google OR, we built a model to measure the impact of disruptions in the last-mile delivery operation. …”
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Automated Surface Crack Identification of Reinforced Concrete Members Using an Improved YOLOv4-Tiny-Based Crack Detection Model by Sofía Rajesh, K. S. Jinesh Babu, M. Chengathir Selvi, M. Chellapandian

“…First, an extensive experimental program was conducted by testing full-scale RC members under different shear span (a) to depth ratios to achieve flexural and shear dominant failure modes. …”
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Nonlinear Analysis of Corrugated Core Sandwich Plates Using the Element-Free Galerkin Method by Linxin Peng, Zhaoyang Zhang, Dongyan Wei, Peng Tang, Guikai Mo

“…A Newton–Raphson iterative scheme is employed to solve the nonlinear equilibrium equations. The computational program is implemented in C++, and extensive numerical examples are analyzed. …”
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Empirical studies on the impact of filter‐based ranking feature selection on security vulnerability prediction by Xiang Chen, Zhidan Yuan, Zhanqi Cui, Dun Zhang, Xiaolin Ju

“…Abstract Security vulnerability prediction (SVP) can construct models to identify potentially vulnerable program modules via machine learning. Two kinds of features from different points of view are used to measure the extracted modules in previous studies. …”
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SCUBADive. I. JWST+ALMA Analysis of 289 Submillimeter Galaxies in COSMOS-web by Jed McKinney, Caitlin M. Casey, Arianna S. Long, Olivia R. Cooper, Sinclaire M. Manning, Maximilien Franco, Hollis Akins, Erini Lambrides, Elaine Gammon, Camila Silva, Fabrizio Gentile, Jorge A. Zavala, Aristeidis Amvrosiadis, Irham Andika, Malte Brinch, Jaclyn B. Champagne, Nima Chartab, Nicole E. Drakos, Andreas L. Faisst, Seiji Fujimoto, Steven Gillman, Ghassem Gozaliasl, Thomas R. Greve, Santosh Harish, Christopher C. Hayward, Michaela Hirschmann, Olivier Ilbert, Boris S. Kalita, Jeyhan S. Kartaltepe, Anton M. Koekemoer, Vasily Kokorev, Daizhong Liu, Georgios Magdis, Henry Joy McCracken, Jason Rhodes, Brant E. Robertson, Margherita Talia, Francesco Valentino, Aswin P. Vijayan

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Deep Learning and Statistical Models for Forecasting Transportation Demand: A Case Study of Multiple Distribution Centers by Fábio Polola Mamede, Roberto Fray da Silva, Irineu de Brito Junior, Hugo Tsugunobu Yoshida Yoshizaki, Celso Mitsuo Hino, Carlos Eduardo Cugnasca

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Dual-target candidate compounds from a transformer chemical language model contain characteristic structural features by Sanjana Srinivasan, Alec Lamens, Jürgen Bajorath

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The Integration and Growth of R in Soil Research: A 10‐Year Analysis by Meixiang Gao, Xiujuan Yan, Xin Li, Ye Zheng, Jiangshan Lai

“…ABSTRACT The field of soil science has seen significant advancements in recent years, largely due to the integration of computational tools and statistical methods. Among these resources, the programming language R has emerged as a powerful and versatile platform for soil scientists, aiding in a spectrum of tasks from data analysis and modeling to visualization. …”
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Accelerating the separation of emulsified oil products using high electrostatic fields by Mohamed Aboumosalam, Ahmed Gad, Youssef Barakat, Hanafy Ismail

“…High DC voltage measurements and laser beam intensity readings were recorded every second via a computational micro-controller program. Results showed that the time taken to achieve 100% separation completeness under gravity reached 30,000 s (8.3 h). …”
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Vehicle Routing Problem with Transshipment: Mathematical Model and Algorithm by Thanapat Leelertkij, Parthana Parthanadee, Jirachai Buddhakulsomsiri

“…A mixed integer linear programming model is formulated to represent the VRPT. …”
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A two-stage approach to enhancing biofuel supply chains through predictive and optimization analytics by Mehdi Soltani Tehrani, Siamak Noori, Ehsan Dehghani

“…The second stage employs a mixed-integer linear programming model to optimize a closed-loop biofuel supply chain under uncertain conditions, targeting both cost reduction and minimized carbon emissions. …”
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Bilevel Optimization for the Hazmat Transportation Problem with Lane Reservation by Shengzhong Zhang, Qianqian Hui, Xue Bai, Rongting Sun

“…The problem is formulated as a multiobjective bilevel programming model involving the selection of reserved lanes for government and planning paths for hazmat carriers. …”
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Optimization of Tank Cleaning Station Locations and Task Assignments in Inland Waterway Networks: A Multi-Period MIP Approach by Yanmeng Tao, Ying Yang, Haoran Li, Shuaian Wang

“…We formulate the problem as a mixed-integer programming (MIP) model and prove that it can be reformulated into a partially relaxed MIP model, preserving optimality while enhancing computational efficiency. …”
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Mathematical Models Applied to the Localization of Park-and-Ride Systems: A Systematic Review by Josue Ortega, Ruffo Villa Uvidia

“…The econometric models analyze factors influencing user behavior, while the optimization models improve and optimize the efficiency of transport networks despite facing computational challenges. Finally, other models, such as multilevel programming and fuzzy logic, offer adaptive solutions for highly variable urban environments. …”
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A Framework for Low-Carbon Container Multimodal Transport Route Optimization Under Hybrid Uncertainty: Model and Case Study by Fenling Feng, Fanjian Zheng, Ze Zhang, Lei Wang

“…For model resolution, fuzzy chance-constrained programming is adopted for defuzzification processing. …”
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Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks by Md Kamruzzaman, Nurul I. Sarkar, Jairo Gutierrez

“…As resource optimization is an integer nonlinear programming problem, we address this problem by proposing a deep Q-network-based reinforcement learning algorithm (DRL) to optimize the resource allocation issue. …”
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Study on oil pilot circuit of adaptive hydraulic drive of tool advance in mobile drilling machine by V. S. Sidorenko, V. I. Grishchenko, S. V. Rakulenko, M. S. Poleshkin, D. D. Dymochkin

“…Through a preliminary computational experiment in the Matlab Simulink program, the following parameters of the control loop devices were determined: a hydromechanical sensor and a hydraulically controlled valve, on the basis of which the experimental setup was implemented. …”
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Conditional distributionally robust dispatch for integrated transmission-distribution systems via distributed optimization by Jie Li, Xiuli Wang, Zhicheng Wang, Zhenzi Song

“…To ensure tractability, the model is reformulated into a linear programming problem through the duality theory-based transformation and Conditional Value-at-Risk (CVaR) approximation. …”
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