Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…(Materials and methods) The paper explores the conditions governing the operation of biotechnical systems characterized by inherent randomness (in the probabilistic-statistical sense). …”
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Multi-sensor fusion for AI-driven behavior planning in medical applications by Chang Jianming, Qin Yuanyuan, Qin Yuanyuan, Xu Yanling, Li Li, Li Li, Wu Mianhua, Wu Mianhua, Wang Lulu

“…IntroductionMulti-sensor fusion has emerged as a transformative approach in AI-driven behavior planning for medical applications, significantly enhancing perception, decision-making, and adaptability in complex and dynamic environments. Traditional fusion methods primarily rely on deterministic techniques such as Kalman Filters or rule-based decision models. …”
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Simulation-Based Hierarchical Heuristic for Printed Circuit Board Assembly Optimization in a Spin-Head Surface Mounter by Longlong Xu, Yarong Chen

“…This article proposes a simulation-based hierarchical heuristic (SHH) method to optimize nozzle assignment, feeder assignment, and component sequencing in a single spin-head gantry type surface mounter. …”
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Modeling and analysis of filtration processes in oil reservoirs of small fields by reserves by Zhanat Alisheva, Ahmed N. AL-Dujaili, Nurbol Tileuberdi, Samal Muratova, Elmira Omirzakova, Miras Sanatbekov, Olzhas Kurmanbayev, Manat Alzhigitova

“…A key novelty of this research is the integration of geostatistical methods, history-matching techniques, and permeability distribution analysis to evaluate the efficiency of water injection in a highly heterogeneous reservoir. …”
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Pareto Optimal Solutions for Stochastic Dynamic Programming Problems via Monte Carlo Simulation by R. T. N. Cardoso, R. H. C. Takahashi, F. R. B. Cruz

“…This new idea is carried out by using Monte Carlo simulations embedded in an approximate algorithm proposed to deterministic dynamic programming problems. The new method is tested in instances of the classical inventory control problem. …”
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PSYCHOLOGICAL ASPECTS OF FORMATION OF A PRACTICE-ORIENTED ENVIRONMENT IN EDUCATIONAL INSTITUTIONS OF THE MINISTRY OF INTERNAL AFFAIRS OF RUSSIA by O. A. Ulyanina

“…The following main blocks of the program were highlighted and characterised: target, deterministic, content, medium, technological, analytically monitored, organisational and procedural. …”
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Cooperative sensing, communication and computation resource allocation in mobile edge computing-enabled vehicular networks by Zhenyu Li, Yuchuan Fu, Mengqiu Tian, Changle Li

“…To solve the RA problem, a twin delayed deep deterministic policy gradient (TD3) algorithm is adopted to explore and obtain the effective solution of the RA problem. …”
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CISMN: A Chaos-Integrated Synaptic-Memory Network with Multi-Compartment Chaotic Dynamics for Robust Nonlinear Regression by Yaser Shahbazi, Mohsen Mokhtari Kashavar, Abbas Ghaffari, Mohammad Fotouhi, Siamak Pedrammehr

“…Ablations reveal a scalability–efficiency trade-off: lightweight variants train in <10 s with >95% peak accuracy, while deeper configurations yield marginal gains. …”
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A novel hybrid adaptive strategy for real-time dispatch and scheduling in renewable-integrated EV charging stations by Guo Hao, Qiu Pengfei, Zhang Jiahui, Bai Xiang, Yan Laiqing, Zia Ullah

“…Unlike existing studies that treat power dispatch and EV scheduling as separate tasks or rely on heuristic methods, the proposed HADS model employs a Mixed-Integer Linear Programming (MILP) approach to co-optimally dispatch real-time energy and charge EVs within a unified decision-making framework. …”
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Providing a Robust Dynamic Pricing Model and Comparing It with Static Pricing in Multi-level Supply Chains Using a Game Theory Approach by Sara Mehrjoo, Hanan Amoozad Mahdirji, Jalil Heidary Dahoei, Seyyed Hossein Razavi Haji Agha, Mahnaz Hosseinzadeh

“…Objective Designing a multi-level supply chain network with efficient product flow management is an important issue in supply chain management. …”
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Modelling of River-Groundwater Interactions under Rainfall Events Based on a Modified Tank Model by Wen Nie, Yong-chang Liang, Lin Chen, Wei Shao

“…The results of the deterministic method of the numerical case and optimized method of the modified tank model matched well.…”
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Optimization Design of Trough Solar Power Plant Based on Probabilistic Reliability by Yanping ZHANG, Yuchao ZHANG, Yifei LIU

“…Then, by considering the randomness caused by the uncertainty factor, the uncertainty model of the trough solar power plant based on its solar multiple, the full load hours of storage system and the row spacing distance of the collector was established by neural network-Monte Carlo method. Secondly, the reliability calculation model was established, levelized cost of energy (LCOE), capacity factor (CF) and total generation efficiency were selected as key performance indicators (KPI), then the KPI were optimized based on the reliability indexes of each KPI. …”
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UV-enhanced exfoliated MoS2/PtSe2 heterostructure for ultra-sensitive NO2 detection at room temperature by Mubdiul Islam Rizu, Dalal Fadil, Eduard Llobet

“…Both MoS2 and PtSe2 were synthesized by mechanical exfoliation, and the heterostructure was prepared using deterministic dry transfer method. Comprehensive characterization was performed using optical microscopy, field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, high resolution transmission electron microscopy, Raman spectroscopy and atomic force microscopy. …”
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Reliability-Based Topology Optimization Considering Overhang Constraints for Additive Manufacturing Design by Fahri Murat, Irfan Kaymaz, Abdullah Tahir Şensoy

“…This research investigates build direction parameter solutions using deterministic and RBTO algorithms. Topological properties, compliance, sensitivity, and density filters are assessed, alongside optimization techniques like Method of Moving Asymptotes (MMA) criterion and Optimality Criteria (OC). …”
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Digital twin and contact analysis of ultra-long distance coiled tubing operation structures [version 2; peer review: 1 approved, 2 approved with reservations] by Wenlan Wei, Jiarui Cheng, Hao Qu, Maliang Wang, Wenyuan Wang

“…Background Coiled tubing operation is a high-quality operation method that considers both cost and efficiency in current oil and gas well operations. …”
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Sustainable Energy and Exergy Analysis in Offshore Wind Farms Using Machine Learning: A Systematic Review by Hamid Reza Soltani Motlagh, Seyed Behbood Issa-Zadeh, Abdul Hameed Kalifullah, Arife Tugsan Isiacik Colak, Md Redzuan Zoolfakar

“…Offshore wind energy represents a cornerstone in the global transition to low-carbon economies due to its scalability and superior energy yields; however, its complex operational environment, characterized by harsh marine conditions and logistical constraints, necessitates innovative analytical tools. Traditional deterministic methods often fail to capture the dynamic interactions within wind farms, thereby underscoring the need for ML-integrated approaches that enhance precision in energy forecasting, fault detection, and exergy analysis. …”
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FORECASTING AND OPTIMIZATION OF CATALYTIC CRACKING UNIT OPERATION UNDER CONDITIONS OF FUZZY INFORMATION by Narkez Boranbayeva, Batyr Orazbayev, Leila Rzayeva, Zhalal Karabayev, Murat Alibek, Baktygul Assanova

“…The complexity of this process and the presence of fuzzy information caused by fuzzy initial data require the development of new modeling and optimization methods. Existing traditional models based on deterministic methods are often insufficient under uncertainty. …”
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Cost‐effectiveness of Resonance® metallic ureteral stent compared with standard polyurethane ureteral stents in malignant ureteric obstruction: A cost‐utility analysis by Dawn M. Cooper, Rachel Lines, Iqbal Shergill

“…Deterministic and probabilistic sensitivity analyses were undertaken to assess the effect of uncertainty. …”
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Modified Sparrow Search Algorithm by Incorporating Multi-Strategy for Solving Mathematical Optimization Problems by Yunpeng Ma, Wanting Meng, Xiaolu Wang, Peng Gu, Xinxin Zhang

“…Specifically, the Latin Hypercube Sampling (LHS) method is employed to achieve a uniform distribution of the initial population, laying a solid foundation for global search. …”
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Wide-Range Variable Cycle Engine Control Based on Deep Reinforcement Learning by Yaoyao Ding, Fengming Wang, Yuanwei Mu, Hongfei Sun

“…To solve this problem, this paper adopts a deep reinforcement learning method based on a deep deterministic policy gradient algorithm, and it applies an action space pruning technique to optimize the controller, which significantly improves the convergence speed of network training. …”
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