Analysis of the criteria selection problem in diversification models by Анна Бакурова, Алла Савранська, Еліна Терещенко, Дмитро Широкорад, Марк Шевчук

“…To formalize the problem, five models are proposed that differ in vector objective functions, both in the quantity and quality of the selected criteria. …”
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Power Load Distribution for Wireless Sensor and Actuator Networks in Smart Grid Buildings by Junghoon Lee, Gyung-Leen Park

“…For genetic operations, each schedule is encoded to an integer-valued vector, where each element represents either start time or binary allocation map of the associated task according to the task type. …”
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Truth, beauty, and goodness in grand unification: A machine learning approach by Shinsuke Kawai, Nobuchika Okada

“…We investigate the flavour sector of the supersymmetric SU(5) Grand Unified Theory (GUT) model using machine learning techniques. …”
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Analytical Review on Improving Coconut Production and Management Practices in Fiji by Shirlyn Vandana Lata, Tamara Osborne-Naikatini

“…One of the challenges foreseen is the breeding of Fiji Tall and Fiji Dwarf varieties only that limits genetic variability of coconut populations in Fiji. The coconut value chain is complex associating various players (farmers, processors, exporters, wholesalers, retailers, and consumers) to perform multiple functions to strengthen value-adding products and projected competition in the global market. …”
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From Space to Satisfaction: Investigating Architectural Interior Determinants of Quality Work Environments by Vesna Krizmanić, Aleksandra Milovanović

“…A total of 124 participants took part in the survey, representing the logistics (Fercam), IT (UBConnect), and healthcare (Medigroup) sectors. The survey integrates validated instruments—the Workspace Characteristics Scale (WCS) and the Workspace Satisfaction Scale (WSS)—to assess the impact of 12 variables and spatial features, reflecting functional, sensory, and sociological dimensions. …”
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Osobliwe Równania Całkowe Termosprężystości by J. Ignaczak, W. Nowacki

“…These sets of singular solutions are used to define the thermoelastic potential of a single, double and mixed layer and to obtain singular integral equations for the fundamental boundary-value problems. These equations have the form of coupled singular Fredholm equations of the second kind, the integrals involved being understood in the sense of principal values. …”
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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

“…The GA is used to fine-tune the structure, membership functions, and parameters of the FNN to improve predictive performance. …”
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A spectral analysis of chaotic oscillations in simulation model of Chua’s circuit developed with use of matrix decomposition by A. M. Krot, U. A. Sychou

“…The correctness of application of the matrix expansion of a vector function depending on values of the perturbations (increments) of variables in the state space is investigated.…”
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Prediction and evaluation of environmental quality for nursing sow buildings via multisource sensor information fusion by Chong Chen, Xingqiao Liu, Chaoji Liu, Chengyang Yu

“…This method can also function as an intelligent decision support tool for real-world applications, such as adaptive ventilation control, environmental stress mitigation, and early warning systems.…”
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Adaptive component crossover for differential evolution in solving single-objective optimization problems by Sopov Anton, Sopov Evgenii

“…In this study we have proposed a novel Adaptive Component Crossover strategy for differential evolution, in which the crossover rate parameter is represented by a vector and its values are based on the behavior of the objective function on separate components. …”
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Forest biomass for bioenergy as a tool to mitigate climate change: Implications for sustainable forest management in eastern Canada by Claudie-Maude Canuel, Evelyne Thiffault, Eric R. Labelle, Nelson Thiffault

“…It emerged that forest bioenergy represents an opportunity for the development of the forestry sector. However, the specifications of the forest biomass to be harvested need to be clarified in order to harmonize its mobilization within the existing industrial ecosystem, while maintaining the ecological functions of forest ecosystems. …”
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Application of artificial neural networks in the prediction of sugarcane juice Pol by Anderson P. Coelho, João V. T. Bettiol, Alexandre B. Dalri, João A. Fischer Filho, Rogério T. de Faria, Luiz F. Palaretti

“…ABSTRACT Innovative techniques that seek to minimize the costs of production and the laboriousness of certain operations are one of the great challenges in the sugar-energy sector nowadays. Thus, the objective of the present study was to estimate the Pol values of sugarcane juice as a function of °Brix and wet cake weight (WCW) using artificial neural network (ANN) modeling. …”
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Adoption Drivers of Intelligent Virtual Assistants in Banking: Rethinking the Artificial Intelligence Banker by Rui Ramos, Joaquim Casaca, Rui Patrício

“…The adoption of Intelligent Virtual Assistants (IVAs) in the banking sector presents new opportunities to enhance customer service efficiency, reduce operational costs, and modernize service delivery channels. …”
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On-farm resource-use efficiency in China: overall rebounding trends and region-specific enhancement opportunities by Meng-Lu Huang, Jing-Yu Liu, Xiaoxi Wang, Huijuan Dong, Zhipin Ai

“…Sustainable development of the agricultural sector largely hinges on a well-functioning food-energy-water (FEW) nexus because agriculture is closely intertwined with these resources. …”
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Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning by Jiayuan Xu, Andrew J. Doig, Sofia Michopoulou, Sofia Michopoulou, Petroula Proitsi, Petroula Proitsi, Fumie Costen, The Alzheimer's disease neuroimaging initiative

“…BackgroundAlzheimer's disease (AD) greatly affects the daily functioning and life quality of patients and is prevalent in the elderly population. …”
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Unveiling CKS2: A Key Player in Aggressive B‐Cell Lymphoma Progression and a Target for Synergistic Therapy by Fenling Zhou, Lu Chen, Zhen Liu, Yuli Cao, Cuilan Deng, Gexiu Liu, Chengcheng Liu

“…Methods Bioinformatics analysis was utilized to explore the transcriptional levels, prognostic value, and gene function enrichment of CKS2 in BL and DLBCL. …”
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Development and validation of a biomarker-based prediction model for metastasis in patients with colorectal cancer: Application of machine learning algorithms by Erfan Ayubi, Sajjad Farashi, Leili Tapak, Saeid Afshar

“…Subsequently, the prediction model was developed and internally validated using five machine learning (ML) algorithms including lasso and elastic-net regularized generalized linear model (glmnet), k-nearest neighbors (kNN), support vector machine (SVM) with Radial Basis Function Kernel, random forest (RF), and eXtreme Gradient Boosting (XGBoost). …”
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Application of Predictive Modeling and Molecular Simulations to Elucidate the Mechanisms Underlying the Antimicrobial Activity of Sage (<i>Salvia officinalis</i> L.) Components in... by Dajana Vukić, Biljana Lončar, Lato Pezo, Vladimir Vukić

“…These findings underscore the value of integrating molecular modeling and machine learning approaches for the identification of bioactive compounds in functional food systems.…”
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Traffic Network Equilibrium Problems with Capacity Constraints of Arcs and Linear Scalarization Methods by X. Q. Tian, Y. D. Xu

“…Traffic network equilibrium problems with capacity constraints of arcs are studied. A (weak) vector equilibrium principle with vector-valued cost functions, which are different from the ones in the work of Lin (2010), and three kinds of parametric equilibrium flows are introduced. …”
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Unmasking Greenwashing in the Building Materials Industry Through an Evolutionary Game Approach via Prospect Theory by Zihan Li, Yi Zhang, Zihan Hu, Yixi Zeng, Xin Dong, Xinbao Lu, Jie Peng, Mingtao Zhu, Xingwei Li

“…Second, a greater degree of diminishing sensitivity in the value function promotes the adoption of authentic green behavior by enterprises. …”
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