Planning and management of logistic cycle by V. N. Kudashkin

“…We are considering planning and managing of logistic cycle, its impact on the content of the main processes that comprise the cycle to implement the order for the supply of material resources for industrial consumption, as well as its practical use, effectiveness, and prospects.This research paper is made on the basis of the information, received from textbooks and scientific literature of domestic and foreign authors, as well as from other sources. The main methods, used in this work are as follows: method of system analysis, method of the theory of operations’ research, prognostics. …”
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Distributed Coordinated Dispatch Model for Multi-area Interconnected Integrated Energy Systems Based on Sequential Cone Programming by Yujie REN, Yuhan HUANG, Zhenbo WEI

“…In addition, a second-order cone relaxation method based on SCP is proposed to handle the gas network flow in the IEGS economic dispatch model, linearizing the flow constraints and reducing the relaxation gap caused by optimization processing. …”
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Experimental and Computational Approaches for the Structural Study of Novel Ca-Rich Zeolites from Incense Stick Ash and Their Application for Wastewater Treatment by Virendra Kumar Yadav, Nisha Choudhary, Daoud Ali, G. Gnanamoorthy, Gajendra Kumar Inwati, Mohammed HA. Almarzoug, Gokhlesh Kumar, Samreen Heena Khan, Mitesh B. Solanki

“…At present, chemical Si/Al sources are mainly used as precursor materials for the manufacturing of zeolites. …”
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Numerical Analysis on Thermal Tuning Efficiency and Thermal Stress of a Thermally Tunable SG-DBR Laser by Ximeng Han, Qiang Cheng, Fan Liu, Yonglin Yu

“…With the optimized design, by using a developed temperature-dependent transfer matrix method-based optical model, optical output characteristics of the thermally tunable SG-DBR laser are demonstrated, including the output wavelength for the tuning range (1525–1585 nm covering C band) and the linewidth for all the channels (several tens to several hundreds of kilohertz). …”
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Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation by Malhar Khan, Muhammad Amir Raza, Muhammad Faheem, Shahjahan Alias Sarang, Madeeha Panhwar, Touqeer Ahmed Jumani

“…Compared to available research, which often reports lower accuracies for conventional techniques, our study highlights the enhanced performance of AI‐based methods. This study provides a comprehensive comparative analysis, delivering critical analysis and practical guidance for engineers and researchers in selecting the most effective MPPT controller optimized to specific environmental conditions. …”
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Artificial Intelligence Algorithms for Hybrid Electric Powertrain System Control: A Review by Dawei Zhong, Bolan Liu, Liang Liu, Wenhao Fan, Jingxian Tang

“…Traditional control methods, whether rule-based or optimization-based, often lack global optimality and adaptability. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…To provide an overview of published works in tourism, we used the systematic mapping study method. Articles were assessed based on various factors, including research topic, conceptual and theoretical descriptions, data sources, data types and sizes, data collection methods, data analysis techniques, and reporting and visualization methods. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…After integrating decomposition, use of entropy, algorithm optimization, and error correction models, eleven comparative experiments were established to evaluate the effectiveness of each optimization method. …”
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Characterization of strike-slip fault zones by gradient-driven signed pressure force model in the Northeast Sichuan Basin by Siyao Li, Siyao Li, Xuri Huang, Xuri Huang, Shuhang Tang, Shuhang Tang, Guanghui Wu, Liang Feng, Mengcheng Li, Mengcheng Li

“…To address these challenges, this paper proposes a novel fault characterization approach using the Gradient-Driven Signed Pressure Force (G-SPF) Active Contour Model (ACM), an image-processing-based boundary identification technique. The method begins by selecting tensor and symmetry as the primary optimization attributes. …”
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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

“…This paper evaluates short-term forecasting of time series with a measure of uncertainty associated with wind speeds. The proposed method considers the conformal prediction approach and, based on Shapley values, uses optimal selection of features given their importance. …”
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Improving microgrid hosting capacity: A two-stage BONMIN solver-based framework for battery storage allocation and operational energy management strategy. by Ziad M Ali

“…The problem was structured as a mixed-integer nonlinear programming (MINLP) model and resolved using GAMS software with its embedded open-source BONMIN solver. The initial phase establishes optimal battery storage system (BSS) allocation methods to optimize renewable energy source (RES) self-consumption (SC), increase hosting capacity (HC), and minimize operational expenses. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…In response to the global ecological and agricultural challenges posed by coastal saline-alkali areas, this study focuses on Dongying City as a representative region, aiming to develop a high-precision soil salinity prediction mapping method that integrates multi-source remote sensing data with machine learning techniques. …”
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SPOTting Model Parameters Using a Ready-Made Python Package. by Tobias Houska, Philipp Kraft, Alejandro Chamorro-Chavez, Lutz Breuer

“…We developed SPOTPY (Statistical Parameter Optimization Tool), an open source python package containing a comprehensive set of methods typically used to calibrate, analyze and optimize parameters for a wide range of ecological models. …”
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Quantification of Carbon Emissions of Building Decoration Processes by Lianxiang Zhang, Huanyu Wu, Xin Wang, Fugui Wu, Zhikun Ding, Lei Song, Xin Rong, Jing Liu, Xin Wen, Ping Zhong

“…It highlights the key sources of carbon emissions and proposes targeted mitigation strategies. …”
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Probabilistic phase labeling and lattice refinement for autonomous materials research by Ming-Chiang Chang, Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Lan Zhou, John M. Gregoire, Carla P. Gomes, R. Bruce van Dover, Michael O. Thompson

“…However, rapid, automated, and reliable analysis of XRD data at rates that match the pace of experimental measurements at a synchrotron source remains a major challenge. To address these issues, we developed CrystalShift for rapid and efficient probabilistic XRD phase labeling employing symmetry-constrained optimization, best-first tree search, and Bayesian model comparison. …”
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The constitutional test of necessity: problem statement by A. V. Dolzhikov

“…The sources of such analogy can be the rules of international law, ordinary legislation and comparative legal materials.The main results of the research and the scope of their application. …”
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Analysis of the Influence of Patch Antenna Shapes for Wireless Passive Temperature Sensor Applications by Trisa Azahra, Ying-Ting Liao, Yi-Chien Chen, Cheng-Chien Kuo

“…A key advantage of these sensors is their ability to operate without a local power source. This study employs the antenna backscattering method, which relies on the wireless interaction between the interrogator antenna and the sensor antenna’s resonant frequency, implemented in the far-field region to support long communication distances. …”
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Capacity Evolution of Flexible Units Based on a Dual-Timescale Dynamic Model under Dual Carbon Goals by LI Kecun, HUANG Zhenyu, YOU Xingxing, QIU Gao, LIU Youbo, LIU Junyong

“…In the context of “carbon peaking” and “carbon neutrality，” the generation method for power systems is gradually transitioning from traditional generation to renewable energy source generation， posing challenges to the stability of the power supply in the grid. …”
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Design of an integral sliding mode controller for reducing CO2 emissions in the transport sector to control global warming by Abid Mehmood, Mohsan Hassan, Pita Donald, Mohammed M. A. Almazah

“…Abstract Carbon dioxide (CO2) is the significant contributor to greenhouse gases and plays a crucial role in the greenhouse effect and climate change. The primary source of CO2 emissions is fossil fuel combustion, basically due to human activities and transportation activities. …”
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Finding Random Integer Ideal Flow Network Signature Algorithms by Kardi Teknomo, Erna Budhiarti Nababan, Indriati Njoto Bisono, Resmana Lim

“…This framework lays the foundation for future advancements in predictive modeling and network optimization. To ensure reproducibility, we provide an open-source Python implementation on GitHub. …”
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