Optimization of The Budget of The Industrial Complex Transformation Strategy Based on Neural Network Modeling by A. G. Boev, A. G. Puzakov, Yu. P. Anisimov

“…Currently, Russian industry is developing mainly along an extensive path that does not provide a deep innovative transformation of business and the necessary increase in labor productivity.Materials and methods. The data source for the study is Rosstat materials on the development of industry in the Russian Federation, indicators of economic activity of industrial companies contained in SPARK-Interfax databases, as well as the results of monitoring activities of KPMG and the Agency for Strategic Initiatives. …”
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Wavelet Transform-Based 3D Landscape Design and Optimization for Digital Cities by Yang Chen, Xiaolin Wang, Chang Zhang

“…Combining this method to design and optimize 3D landscapes in digital cities can improve the efficiency of landscape design.…”
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A study on determination of an optimized detector for single photon emission computed tomography by Mohammad Khoshakhlagh, Jalil Islamian, Mohammad Abedi, Babak Mahmoudian, Ali Mardanshahi

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Automatic evaluation and optimization of map registration based on feature overlap area ratio by Jiqiu Deng, Xiaoyan Chen, Dong Zhang

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Enhancing LiDAR Data Positioning Accuracy in National Forest Surveys through Multi-Source Point Cloud Matching in Terrasolid software by A. Shcherbacheva, A. Puttonen, A. Soininen

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Integral Absorbing Boundary Conditions Optimized for Modelling of Acoustic Radiation of Elongated Bodies by Mikhail B. Salin, Sergey A. Smirnov, Anatoliy S. Suvorov, Irina A. Usacheva, Irina A. V’yushkina

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Characterization of Citrobacter sp. line 328 as a source of Vi for a Vi-CRM197 glycoconjugate vaccine against Salmonella Typhi by Simona Rondini, Francesca Micoli, Luisa Lanzilao, Ivan Pisoni, Vito Di Cioccio, Allan J Saul, Laura B Martin

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Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

“…Rigorous simulations highlight the method’s ability to reduce optimization time, maintain solution quality, and scale efficiently, facilitating real-time decision making in energy markets. …”
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Optimizing the Cost of Process as a Decision-Making Tool to Determine the Selling Price by Mukti Prasaja, Rufaidho Dwi Lestari, Aan Nurrohman

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Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm by M. Gorji-Bandpy, A. Mozaffari

“…A new method called mutable smart bee (MSB) algorithm proposed for cooperative optimizing of the maximum power output (MPO) and minimum entropy generation (MEG) of an Atkinson cycle as a multiobjective, multi-modal mechanical problem. …”
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Phase field modeling for fracture prediction in goat tibia using an open-source quantitative computer tomography based finite element framework by Debangshu Paul, Zachariah Arwood, Pierre-Yves Mulon, Dayakar Penumadu, Timothy Truster

“…To make the process accessible and extensible, open-source software was utilized throughout the entire modeling process for the first time. …”
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Analyzing Soret and Dufour Effects on MHD Variable Viscosity Casson Nanofluid Flow Past a Stretching Sheet With Heat Source/Sink by Hundasa Chala Nagari, Mitiku Daba Firdi, Ebba Hindebu Rikitu

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Paddy Field Scale Evapotranspiration Estimation Based on Two-Source Energy Balance Model with Energy Flux Constraints and UAV Multimodal Data by Tian’ao Wu, Kaihua Liu, Minghan Cheng, Zhe Gu, Weihua Guo, Xiyun Jiao

“…This study aims to enhance the accuracy and reliability of <i>ET</i> estimation in rice paddies through two synergistic approaches: (1) integrating the energy flux diurnal variations into the Two-Source Energy Balance (TSEB) model, which considers the canopy and soil temperature components separately, for physical estimation and (2) optimizing the flight altitudes and observation times for thermal infrared (TIR) data acquisition to enhance the data quality. …”
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Day-Ahead Scheduling of IES Containing Solar Thermal Power Generation Based on CNN-MI-BILSTM Considering Source-Load Uncertainty by Kun Ding, Yalu Sun, Boyang Chen, Jing Chen, Lixia Sun, Yingjun Wu, Yusheng Xia

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Open-Source High-Throughput Phenotyping for Blueberry Yield and Maturity Prediction Across Environments: Neural Network Model and Labeled Dataset for Breeders by Jing Zhang, Jerome Maleski, Hudson Ashrafi, Jessica A. Spencer, Ye Chu

“…This model will be helpful for blueberry breeders, enabling more efficient selection, and for growers, helping them accurately estimate optimal harvest windows. This open-source tool can potentially enhance research capabilities and agricultural productivity.…”
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Dietary Sources and Nutrient Adequacy Potential of Local Foods among Children (6–23 Months) in Urban Slums of West Oromia (Ethiopia) by Wondu Garoma Berra

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Optimizing green hydrogen strategies in Tunisia: A combined SWOT-MCDM approach by Sassi Rekik

“…Subsequently, a multi-criteria decision-making approach, employing the gray technique for order preference by similarity to ideal solution (TOPSIS-G) method (validated by gray additive ratio assessment (ARAS-G), gray complex proportional assessment (COPRAS-G), and gray multi-objective optimization by ratio analysis (MOORA-G), was used to rank the identified strategies.The SWOT analysis revealed ''Strengths'' as the most influential factor with a relative weight of 47.3 %, followed by ''Weaknesses'' (26.5 %), ''Threats'' (15.6 %), and ''Opportunities'' (10.6 %). …”
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Optimization of the Driving Mode Transformation of Hybrid Electric Bus based on Genetic Algorithm by Zhao Lijun, Li Shoucheng, Wei Guangpu, Zhang Hongsheng

“…The hybrid electrical city bus has two power sources to drive vehicle,so the control of vehicle driving mode transformation is become the core of the vehicle control strategy.It not only influences the vehicle fuel economy and emissions,but also influences the driving comfort of the vehicle.An HEV simulation model is built for performance analysis by interlinking of advanced software AVL CRUISE and Matlab/Simulink.By adjusting threshold of the driving mode transformation,the mode can be transformed smoothly.For achieving minimum equivalent fuel consumption,the genetic algorithm（GA）optimization method is applied to get the optima of control parameters which affect the vehicle driving mode transformation in different city bus cycles including Europe and China.The vehicle fuel economy is further improved.…”
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LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

“…This study emphasizes the practical advantages of comparing clustering and machine learning techniques on 3D LiDAR point clouds, both with and without intensity normalization, and proposes a replicable, computationally efficient alternative to deep learning methods, which often require extensive training datasets and high computational resources.…”
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Optimization of Electricity Consumption-Associated Costs in a Medium-Sized Logistics Company by Martins Tisenkopfs, Leo Jansons, Ineta Geipele, Sanda Lapuke, Andris Backurs

“…During the research, mixed-type approaches combining qualitative and quantitative research methods and data analysis were employed, where the quantitative methods helped to analyze the company’s electricity consumption and cost changes in different time periods, while the qualitative methods were used in a literature review. …”
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