Leveraging machine learning and Landsat time series for high-resolution mapping of mining-induced vegetation changes in Ouagadougou, Burkina Faso by Oussama Himmy, Thanh Thi Nguyen, Katharina Salomea Hemmler, Safia Loulad, Hassan Rhinane, Andreas Buerkert

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Stability and trajectory tracking of four- wheel steering trackless auxiliary transport robot via PID control by Mingrui Hao, Yueqi Bi, Jie Ren, Lisen Ma, Jiaran Li, Sihai Zhao, Miao Wu

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Improved optimization based on parrot’s chaotic optimizer for solving complex problems in engineering and medical image segmentation by Adil Sayyouri, Ahmed Bencherqui, Hanaa Mansouri, Hicham Karmouni, Hassane Moustabchir, Mhamed Sayyouri, Abderrahim Bourkane, Abdeljabbar Cherkaoui, S. S. Askar, Mohamed Abouhawwash

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Predicting postpartum female sexual interest/arousal disorder via adiponectin and biopsychosocial factors: a cohort-based decision tree study by Saiedeh Sadat Hajimirzaie, Najmeh Tehranian, Amin Golabpour, Ahmad Khosravi, Seyed Abbas Mousavi, Afsaneh Keramat, Mehdi Mirzaii

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Underground electronic fence system based on UWB technology by Kai TAN, Yu HU, Jianbo DAI

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Data-based flight optimization model for scheduling: noise management approach by Aivara Šitkauskaitė, Virginija Leonavičiūtė

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Method for Detecting Disorder of a Nonlinear Dynamic Plant by Xuechun Wang, Vladimir Eliseev

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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

“…The results underscore the ISSA-ELM’s superior nonlinear fitting capability, enhanced generalization performance, and outstanding stability in practical engineering applications. This research offers a solid scientific foundation for risk classification and hazard mitigation strategies while introducing a novel methodological framework through the integration of innovative algorithms. …”
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An Efficient Maximum-power-point-tracking Controller For Grid-connected Photovoltaic Energy Conversion System by Marcelo G. Molina, Domingo H. Pontoriero, Pedro Enrique Mercado

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Developing an Organization’s Corporate Knowledge Through Action-based Learning Technologies by T. V. Aleksandrova, V. L. Popov

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Computer networks anomaly detection by using PCA & pattern recognition by Elham Bideh, Javad Vahidi

“…The results of the performed simulations based on the proposed methods in this research show that dimension reduction of training samples by principal component analysis algorithm and then applying the pattern recognition based on neural networks method leads to high-speed (less than 10 seconds) and high-accuracy (99-100%) detection of anomalies in computer networks.…”
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Navigating dual pressures: The impact of environmental policies and market demand risks on the sustainable development of green building materials - A case study of the green cemen... by Wenxuan Guo

“…A multi-stage game model is developed to explore the strategic interactions between green material producers and intermediate suppliers in decision-making related to green research and product pricing. Utilizing backward induction methods, genetic algorithm simulations, and production data from the cement industry, we analyze the sensitivity of product greenness, pricing, sales volume, and profits to changes in market demand risks under both strict and lenient environmental policies. …”
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Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model by Lee S, Kwon H, Oh J, Kim KR, Hwang J, Kang S, Lee K, Namgoong JM, Kim JK

“…Keywords: liver ischemia-reperfusion injury, liver function, surface-enhanced Raman spectroscopy, discriminant analysis, machine learning algorithm…”
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Flexible Demand Side Management in Smart Cities: Integrating Diverse User Profiles and Multiple Objectives by Nuno Souza e Silva, Paulo Ferrão

“…Initially, a single-objective optimization approach using Genetic Algorithms (GAs) is employed to minimize the total energy cost under a real Time-of-Use (ToU) pricing scheme. …”
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Progress and future direction of independently developed reservoir numerical simulation software in Shengli Oilfield by ZHANG Zhiqiang, YANG Yaozhong, ZHANG Shiming, YU Jinbiao, CAO Weidong, HU Huifang

“…Through years of dedicated research， Shengli Oilfield has developed a series of proprietary software， including a 3D three-phase black oil model， as well as compositional numerical simulation software for chemical flooding and CO2 flooding. …”
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Accuracy improvement in financial sanction screening: is natural language processing the solution? by Seihee Kim, ShengYun Yang

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Hybrid ANN-Based and Text Similarity Method for Automatic Short-Answer Grading in Polish by Marwah Bani Saad, Lidia Jackowska-Strumillo, Wojciech Bieniecki

“…While electronic choice surveys have long been used in many web applications, automatic scoring of open-ended responses remains an interesting research problem in natural language processing. In this article, we propose a new hybrid text-processing method for scoring students’ responses based on word splitting and preprocessing, which will then combine textual algorithms with a set of artificial neural network classifiers and a set of heuristic decision rules. …”
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A new scaled BFGS method for convex constraints monotone systems: Applications in motion control by Abdullah Shah, Maaz ur Rehman, Jamilu Sabi’u, Muhammad Sohaib, Khaled M. Furati

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Optimizing capacitor size and placement in radial distribution networks for maximum efficiency by R. Arunjothi, K.P. Meena

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Efficient contingency analysis of power systems using linear power flow with generalized warm-start compensation by Jinyu Yu, Zhigang Li, Jiahui Zhang, Xiang Bai, Huaichang Ge, J.H. Zheng, Q.H. Wu

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