Methodolo- gical Aspects of Semantic Relationship Extraction for Automatic Thesaurus Generation by N. S. Lagutina, K. V. Lagutina, E. I. Mamedov, I. V. Paramonov

“…The main algorithm of generation consists of three stages: selection and preprocessing of a text corpus, recognition of thesaurus terms, and extraction of relations among terms. …”
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Graph-Based Warm Solutions for Optimal Resilience Enhancement of Water Distribution Networks by Mohsen Hajibabaei, Amin Minaei, Mohsen Shahandashti, Robert Sitzenfrei

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Identifying factors affecting the creation of social interactions and functional security (case study: Mehr housing in Boroujard city) by Seyed Mohammad Ali Ahmadi Tabatabaie, Ferial Ahmadi, Vahid Heidar Nattaj

“…by growth of population and the increasing need for housing, the establishment and design of Mehr housing complexes around cities began. However, due to reasons such as inappropriate location selection, the residence of individuals with different cultures, and the lack of a coherent plan, the quality does not meet the desired standards like a traditional Iranian house. …”
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H2O-balance-regulated cation–anion competitive coordination for selective elements extraction from spent lithium-ion batteries by Mingqiang Cheng, Yixin Hua, Qibo Zhang, Qihao Li, Hongda Li, Ding Wang, Xianshu Wang, Yun Zhao, Juanjian Ru, Baohua Li

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Research on Intrusion Detection Method Based on Transformer and CNN-BiLSTM in Internet of Things by Chunhui Zhang, Jian Li, Naile Wang, Dejun Zhang

“…With the widespread deployment of Internet of Things (IoT) devices, their complex network environments and open communication modes have made them prime targets for cyberattacks. …”
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A Framework for Data‒Driven Fault Diagnosis of Numerical Spacecraft Propulsion Systems by Kazushi Adachi, Samir Khan, Shinichi Nakasuka, Kohji Tominaga, Seiji Tsutsumi, Yu Daimon, Taiichi Nagata

“…The increasing complexity of space exploration missions introduces significant challenges to maintaining spacecraft health, particularly in the propulsion systems, due to the inherent communication delays with Earth. …”
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Incentivising cooperation by judging a group’s performance by its weakest member in neuroevolution and reinforcement learning by Jory Schossau, Bamshad Shirmohammadi, Arend Hintze, Arend Hintze

“…Notably, the introduced approach improves overall efficiency, as equitably-minded agents collectively achieve greater stability and higher individual outcomes than agents pursuing purely selfish strategies.DiscussionThis methodology aligns closely with biological mechanisms observed in nature, specifically group-level selection and inclusive fitness theory. …”
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Sequence-based engineering of pH-sensitive antibodies for tumor targeting or endosomal recycling applications by Wanlei Wei, Traian Sulea

“…This method, called Sequence-based Identification of pH-sensitive Antibody Binding (SIpHAB), was trained on 3D-structure-based calculations of 3,490 antibody-antigen complexes with solved experimental structures. SIpHAB was parametrized to enhance preferential binding either toward or against the acidic pH, for selective targeting of solid tumors or for antigen release in the endosome, respectively. …”
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DECISION SUPPORT SYSTEM IN PLANNING INVESTMENT PROJECTS by Viktor Kosenko

“…The following tasks were solved in the article: the model of complex planning was studied and the investment project was implemented, the method of selecting an optimal variant of investment project implementation was developed, the elements of the decision support system to select the investment method were specified. …”
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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments by G. Nalinipriya, S. Rama Sree, K. Radhika, E. Laxmi Lydia, Faten Khalid Karim, Mohamad Khairi Ishak, Samih M. Mostafa

“…The Mayfly Optimization Algorithm (MOA) is then utilized for feature selection, effectively mitigating computational complexity. …”
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On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

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Talking Resilience: Embedded Natural Language Cyber-Organizations by Design by Andrea Tomassi, Andrea Falegnami, Elpidio Romano

“…By integrating the concepts of simplexity, complixity, and complexity compression, we illustrate how complex cognitive and operational processes can be selectively condensed into efficient outcomes. …”
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Artificial intelligence-driven fuzzy logic approach for optimal well selection in gas lift design: A brown field case study by Nnaemeka Princewill Ohia, Chadi Paul, Emmanuel Asolo, Taiwo Adetomiwa Adewa, Chidimma Favour Chukwu, Paschal Ateb Ubi, Daniel Hogan Itam, Daniel Ugochukwu Nnaji

“…Gas lift is a widely used artificial lift method for enhancing oil production, particularly in wells with insufficient natural reservoir pressure. However, selecting suitable wells for gas lift is complex due to the inherent uncertainty and variability in petroleum production data. …”
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Estimation of elbow flexion torque using equilibrium optimizer on feature selection of NMES MMG signals and hyperparameter tuning of random forest regression by Raphael Uwamahoro, Raphael Uwamahoro, Kenneth Sundaraj, Farah Shahnaz Feroz

“…The performance of the GLEO-coupled with the RFR model was compared with the standard Equilibrium Optimizer (EO) and other state-of-the-art algorithms in physical and physiological function estimation using biological signals.ResultsExperimental results showed that selected features and tuned hyperparameters demonstrated a significant improvement in root mean square error (RMSE), coefficient of determination (R2) and slope with values improving from 0.1330 to 0.1174, 0.7228 to 0.7853 and 0.6946 to 0.7414, respectively for the test dataset. …”
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

“…This approach effectively captures both structured features and non-linear patterns, making it suitable for datasets with complex dependencies. The second model pairs eXtreme Gradient Boosting (XGBoost), a highly efficient boosting algorithm for tabular data, with an Artificial Neural Network (ANN). …”
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Models of Acoustic Resonators in Studies of Sound-Absorbing Structures by Дмитро Дмитрович Разумов

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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This process included methods for optimizing well trajectories, selecting well locations, predicting formation pressures before drilling, and predicting wellbore stability, which improved drilling safety and efficiency. …”
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Selection of favorable shale lithofacies based on an integrated geology and engineering approach: a case study of Lishu Fault Depression in Songliao Basin by Xuan LIN, Jianfeng ZHU, Haiming PANG, Zhongbo LI, Wei WANG, Shuo LIU, Haibin LI, Zhenxue JIANG, Zhuo LI, Chunyu QIN, Kangbo CHEN

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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…It was also computationally more efficient, cutting runtime in half compared to other methods. …”
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Thermal properties of Cu2S binary copper sulfides by М.М. Кубенова, К.А. Кутербеков, М.Х. Балапанов, Р.Х. Ишембетов, Г.Д. Кабдрахимова, Р.А. Алина, М. Татай, Р. Ильдос

“… Copper chalcogenides have a complex electronic structure due to the interaction of hybridized s- and p-states of chalcogen forming a valence band with 3d states of copper, which greatly complicates the interpretation of temperature dependences of kinetic parameters having a nonmonotonic character. …”
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