A Day-Ahead Optimal Battery Scheduling Considering the Grid Stability of Distribution Feeders by Umme Mumtahina, Sanath Alahakoon, Peter Wolfs

“…By automating weather data acquisition, the methodology bridges the gap between weather predictions and practical energy management, providing utilities with a reliable tool for operating and integrating renewable energy. …”
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Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios. by Naser Shiri, Jalal Shiri, Zaher Mundher Yaseen, Sungwon Kim, Il-Moon Chung, Vahid Nourani, Mohammad Zounemat-Kermani

“…Among all the applied AI models, the developed hybrid support vector machine-firefly algorithm (SVM-FFA) model achieved the best predictability performance for both investigated scenarios. …”
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Markov State Model Approach to Simulate Self-Assembly by Anthony Trubiano, Michael F. Hagan

“…Using two model systems, we show that the multiMSM accurately predicts the concentrations of the full ensemble of intermediates on timescales required to reach equilibrium. …”
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Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis by Fumio Nakaki, James Sharpe

“…Results We developed a simple theoretical model to predict four classes of possible multiplets in mx-scRNA-seq: Homogeneous stealth, partial stealth, multilabelled, and unlabelled. …”
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CB-SEM vs PLS-SEM comparison in estimating the predictors of investment intention by Marija Vuković

“…Additionally, the consistent PLS algorithm (PLSc) was taken into consideration in the methods comparison. …”
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Fingerprint-based Wi-Fi indoor localization using map and inertial sensors by Xingwang Wang, Xiaohui Wei, Yuanyuan Liu, Kun Yang, Xuan Du

“…Second, we design a Wi-Fi signal propagation-based cluster algorithm to reduce the amount of computation. The paper gives a parameter called reliability to overcome the skewing of inertial sensors. …”
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Using a multi-strain infectious disease model with physical information neural networks to study the time dependence of SARS-CoV-2 variants of concern. by Wenxuan Li, Xu Chen, Suli Liu, Chiyu Zhang, Guyue Liu

“…In our experiments, we found that this algorithm can accurately fit the reported data of the British Columbia (BC) province and its five internal health agencies in Canada. …”
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A Study on the Financial Health of Listed Real Estate Companies via Multicriteria Decision-Making Methods by Wenbao Wang, Wenhe Lin, Enhao Chen, Zhizhuan Zheng

“…This study constructs a financial health evaluation model for real estate development enterprises on the basis of the entropy-VIKOR algorithm. Using China as a case study, this research selects real estate companies listed on the Shanghai and Shenzhen Stock Exchanges before the end of 2016 as the sample for empirical analysis. …”
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Gene-boosted assembly of a novel bacterial genome from very short reads. by Steven L Salzberg, Daniel D Sommer, Daniela Puiu, Vincent T Lee

“…Our method includes a novel gene-boosting algorithm that uses amino acid sequences from predicted proteins to build a better assembly. …”
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Automation of reversible steganographic coding with nonlinear discrete optimisation by Ching-Chun Chang

“…Experimental results validate the near-optimality of the proposed optimisation algorithm when benchmarked against a brute-force method.…”
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The ensemble transform Schmidt–Kalman filter: A novel method to compensate for observation uncertainty due to unresolved scales by Zackary Bell, Sarah L. Dance, Joanne A. Waller

“…Abstract Data assimilation is a mathematical technique that uses observations to improve model predictions through consideration of their respective uncertainties. …”
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Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis by Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis

“…In future work, a larger dataset including missing data could be included, as well as a machine-learning algorithm to classify the products based on the RQA with epochs graphs.…”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Saddam Hussain, Chiara Bedon, Gaurav Kumar, Zaheer Ahmed

“…Additionally, the Bayesian regularization backpropagation (trainbr) algorithm is used to optimize the input–output relationship accuracy. …”
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Three-Dimensional Aerodynamic Optimization of Single-Layer Reticulated Cylindrical Roofs Subjected to Mean Wind Loads by Bingbing San, Chen Xu, Ye Qiu

“…Four turbulence models (standard k-ε, RNG k-ε, SST k-ω, and RSM) were used to predict the mean wind loads on cylindrical roofs. …”
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MATHEMATICAL MODELING OF EPILEPTOGENESIS PROCESS IN DIFFERENT AGE GROUPS Kalinin V. A. by V. A. Kalinin, I. A. Poverennova, E. M. Beketova, M. A. Gromakovskaya

“…Conclusion.Using the algorithm described  in clinical practice as a supplementary  budget method with the routine EEG and video-EEG monitoring for epilepsy will predict an individual patient and change pharmacotherapy due time for the rapid achievement  of remission  counter. …”
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Evaluating women’s happiness levels with ARASsort: The case of Türkiye by Semiha Bal, Gül Tekin Temur, Sait Gül

“…Then, a multiple attribute decision-making algorithm-based sorting methodology, ARASsort, is utilized to evaluate how women’s happiness levels are affected by life satisfaction components in a developing country, Türkiye. …”
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MODEL FOR THE FORMATION OF A PROJECT TEAM COMPOSITION BASED ON DISCRETE OPTIMIZATION METHODS by S.M. Beketov, M.V. Dergachev, S.G. Redko

“…The paper examines existing approaches to team building and develops an algorithm that minimizes personnel costs while maintaining high efficiency. …”

Relationship Between Business Models of Banks and Stability of Economic Development by G. G. Gospodarchuk, A. V. Aistov, E. O. Suchkova

“…The models also differ from the existing models by the calculation algorithm of independent variables. The source of information is the official statistics of the Bank of Russia for the period 2008–2019. …”
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Artificial neural network method for forecasting price of purebred chicken egg in East Java by Ni'matur Rohmah, Iid Mufaidah

“…Forecasting can be used to predict future conditions by looking at trends in past conditions. …”
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BERT-OntoSent: combining BERT language model with sentiment ontology for enhanced sentiment analysis on social media by Abdelweheb Gueddes, Mohamed Ali Mahjoub

“…SWRL rules within the ontology then refine BERT's predictions, enhancing robustness, particularly for negation and mixed sentiments, as formalized in our proposed refinement algorithm. …”
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