Justification of working out of combine harvesters technological certificate by G. E. Chepurin, N. M. Ivanov

“…Dynamics of grain crops productivity in the main grain growing regions of Siberian Federal District is presented. …”
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Computational Techniques for Analysis of Thermal Images of Pigs and Characterization of Heat Stress in the Rearing Environment by Maria de Fátima Araújo Alves, Héliton Pandorfi, Rodrigo Gabriel Ferreira Soares, Gledson Luiz Pontes de Almeida, Taize Calvacante Santana, Marcos Vinícius da Silva

“…Heat stress stands out as one of the main elements linked to concerns related to animal thermal comfort. …”
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Extraction of Human Motion Information from Digital Video Based on 3D Poisson Equation by Yilin Wang, Baokuan Chang

“…Based on the above analysis, the main user has prior knowledge of the network environment. …”
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Inter-comparison and evaluation of global satellite XCO2 products by Hongji Yang, Tongwen Li, Jingan Wu, Lingfeng Zhang

“…Carbon dioxide (CO2) is one of the main greenhouse gases and has become a major concern as its concentration has been growing in recent years. …”
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Edge computing-based ensemble learning model for health care decision systems by Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan

“…To solve this problem, the proposed model creates an Ensemble Extreme Learning Machine (EN-ELM) algorithm that combines predictors trained on several different data sets. …”
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Increasing the Speed of Fractal Image Compression Using Two-Dimensional Approximating Transformations by Maydaniuk V. P., Arseniuk I. R., Lishchuk O. O.

“…Fractal image compression algorithm is known for allowing very high compression rates (the best examples – up to 1 000 times with acceptable visual quality) for real photos of natural objects, which is not possible for other lossy compression methods. …”
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Economic Dispatch of Microgrid in Southwest China Based on Two-Stage Robust Optimization by Mingkui WEI, Quan ZHOU, Hong ZHOU, Shaorong CAI, Li JIANG, Liang LU, Wenju LIANG, Li SHEN, Qi LI

“…Then Benders decomposition algorithm is used to solve the main problem and sub-problem of the model, and duality theory is used to decouple the inner layer model. …”
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Principles of creating a digital twin prototype for the process of alkylation of benzene with propylene based on a neural network by K. G. Kichatov, T. R. Prosochkina, I. S. Vorobyova

“…A predictive neural network model and its creation algorithm for the process of benzene alkylation was developed. …”
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Reconstructing the silent circulation of West Nile Virus in a Caribbean island during 15 years using sentinel serological data. by Celia Hamouche, Jennifer Pradel, Nonito Pagès, Véronique Chevalier, Sylvie Lecollinet, Jonathan Bastard, Benoit Durand

“…We identified three main episodes of WNV circulation on the island between 2002 and 2017. …”
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Digitization of Architectural Heritage Objects Using Photogrammetry: Sumy Region Case Study by Ihor Tytarenko, José Machado, Ivan Pavlenko

“…At the main stage of the research, a landscape in Zelenyi Hai and the Kondratiev Manor in Stare Selo were considered. …”
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MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT by Coralia TANASUICA (ZOTIC), Mihai Daniel ROMAN

“…Furthermore, the Long Short-Term Memory (LSTM) algorithm is used for forecasting fuel consumption, offering a predictive glance into future expenditures. …”
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Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges by Carmen García-Barceló, David Gil, David Tomás, David Bernabeu

“…One of the main issues with paragangliomas and pheochromocytomas is that these tumors have up to a 20% rate of metastatic disease, which cannot be reliably predicted. …”
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Robust screening of atrial fibrillation with distribution classification by Pierre-François Massiani, Lukas Haverbeck, Claas Thesing, Friedrich Solowjow, Marlo Verket, Matthias Daniel Zink, Katharina Schütt, Dirk Müller-Wieland, Nikolaus Marx, Sebastian Trimpe

“…Abstract Atrial fibrillation (AF) correlates with an increased risk of all-cause mortality or stroke, mainly due to undiagnosed patients and undertreatment. …”
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Collaborative Planning for Distribution Network and PV-ESS in the Marketization Environment by Ping RAO, Yue XIANG, Haotian YAO, Youbo LIU, Junyong LIU

“…The double-layer improved particle swarm optimization algorithm was applied to run the model. Taking an actual distribution network as an example for the planning solution and analysis, this paper compared the economics of different energy storage operation strategies and analyzed the rationality of the benefit coupling model. …”
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Economic Production Quantity Model under Back Order, Rework, Imperfect Quality, Electricity Tariff, and Emission Tax by Dana Marsetiya Utama, Yolanda Dwi Asmara Putri, Shanty Kusuma Dewi

“…To solve this complex optimization problem, the Genetic Algorithm (GA) is used for its efficiency in handling non-linear and combinatorial problems. …”
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Characteristics of the level of athletes' sports preparedness in freestyle wrestling by Bakytbek Konakbayev, Raisa Bekembetova, Omirzhan Bekturganov, Mukhtar Yeskaliyev, Dinara Zhunisbek

“…An in-depth complex examination was performed, which included assessment of anthropometric indices, registration of the main parameters of external respiration and gas exchange, cardiovascular system. …”
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Supervised Density-Based Metric Learning Based on Bhattacharya Distance for Imbalanced Data Classification Problems by Atena Jalali Mojahed, Mohammad Hossein Moattar, Hamidreza Ghaffari

“…Imbalanced datasets suffer from a lack of data in the minority class, and the differences in class density strongly affect the efficiency of the classification algorithms. Therefore, the density of the classes is considered the main basis of learning the new distance metric. …”
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SimdMSM: SIMD-accelerated Multi-Scalar Multiplication Framework for zkSNARKs by Rui Jiang, Cong Peng, Min Luo, Rongmao Chen, Debiao He

“…MSM at large scales has become the main bottleneck in ZKP implementations. Inspired by existing SIMD-accelerated work, we are focused on accelerating MSM computing efficiency using SIMD instructions in a single CPU environment. …”
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Robust Extrinsic Calibration for LiDAR-Camera Systems via Depth and Height Complementary Supervision Network by Chen Yaqing, Wang Huaming

“…In this paper, we introduce an improved deep-learning-based joint calibration framework for LiDAR-camera systems, termed the Complementary Calibration Network (Co-CalibNet). The main contribution of our work lies in proposing a novel dual-channel geometric supervision calibration framework that integrates both depth and height supervision to achieve robust extrinsic calibration. …”
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Particle Swarm Optimization of Support Vector Machine Inversion Model for Overhead Upright Piers Damage-Inducing Factor by Shiliang Zhou, Menghan Tang, Jun Wu, Chunru Ke

“…To apply the finite element method to analyze the stress distribution characteristics of quay pile groups under three main DIFs, including the stacking effect, ship impact load effect, and bank slope effect. …”
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