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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Innovative Design of Marketing Ecosystems by А. I. Vasiliev, I. А. Brusakova

“…The transition from Industry 4.0 to Industry 5.0 is accompanied by the creation of the necessary software and algorithmic base of quantum computing, introduction of technologies for visualisation of management decisions, development of neuromorphic models of enterprise architecture, digital twins of business processes.The purpose of the study is to develop approaches to designing a marketing ecosystem within the framework of Industry 5.0 and Industry 4.0, which is necessary for building effective interactions between innovative enterprises of different business spheres. …”
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Automation of reversible steganographic coding with nonlinear discrete optimisation by Ching-Chun Chang

“…A fundamental element of reversible steganography is predictive analytics, for which powerful neural network models have been effectively deployed. …”
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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

“…The present study examines how machine learning (ML) techniques can be used to predict the response of laterally unrestrained LG beams in LTB. …”
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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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Research on Optimization of Railway Obstacle Detection Model Based on Neural Architecture Search by YAO Weiwei, LYU Yu, ZHANG Huiyuan, XIONG Minjun, DONG Wenbo, LI Chen

“…The subsequent utilization of a zero-cost neural architecture search algorithm allows for quickly predicting the practical performance of various architectures, without the need for tedious and time-consuming actual training. …”
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A Dynamic Short-Turning Bus Control for Uncertain Demand by Hu Zhang, Shuzhi Zhao, Huasheng Liu, Jin Li

“…An unfixed rolling horizon was implemented to choose the best dynamic approach. Real-time control predicts two discrete variables (arrival time and bus position) and determines the space-time point of buses. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALISED MEDICINE: ADVANCEMENTS, CHALLENGES, AND FUTURE PERSPECTIVES by Ioana-Marcela PĂCURARU, Ciprian-Sorin CHIRVASE, Ştefan-Ioan TIRITEU

“…However, critical challenges such as algorithm transparency, bias mitigation, and patient data security continue to hinder widespread AI adoption in healthcare.…”
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Traffic safety evaluation of emerging mixed traffic flow at freeway merging area considering driving behavior by Yaqin He, Dingshan Xiang, Daobin Wang

“…The results indicated that a low AV penetration rate (< 20%) did not enhance mixed traffic safety, However, when the AV penetration rate exceeded 20%, safety improved, as evidenced by reductions in the conflict rate, time to collision (TTC) frequency, lane change time to collision (LCTTC) frequency and conflict severity. …”
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Control Optimization of Steam Boilers via Reinforcement Learning by Emmanuel Okafor, Maad Alowaifeer

“…Furthermore, a novel nonlinear settling time algorithm is introduced to accurately assess transient responses in complex signals, addressing the limitations of conventional methods. …”
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