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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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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Assessing the application of landmark-free morphometrics to macroevolutionary analyses by James M. Mulqueeney, Thomas H. G. Ezard, Anjali Goswami

“…Our findings highlight the potential of landmark-free approaches like DAA for large scale studies across disparate taxa, owing to their enhanced efficiency. However, they also reveal several challenges that should be addressed before these methods can be widely adopted. …”
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Insurance: is it better together? by E. A. Rusetskaya, D. A. Zakharova, A. A. Krechetova, A. I. Shchetinskaya, Ya. D. Gundar, K. S. Frolov

“…The study intends to identify the potential reasons for the relatively insignificant share of MIS in the insurance market and to assess the attractiveness of the latter in increasing the efficiency of the insurance mechanism in the system of ensuring the financial security of citizens and economic entities.Materials and methods. …”
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Quantum-inspired robust optimization for coordinated scheduling of PV-hydrogen microgrids under multi-dimensional uncertainties by Yunxiao Bai, Yu Sui, Xiaoyu Deng, Xiangbing Wang

“…These include fluctuations in PV output, stochastic hydrogen demand, and volatile market prices. Traditional deterministic or static robust methods often fall short in handling such dynamic, multi-dimensional uncertainties. …”
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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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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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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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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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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…Therefore, this study presents a compensation control method for ship heave under complex sea conditions using an improved reinforcement learning approach.MethodsThis novel method imparts fresh insights into addressing heavy compensation in offshore operations and heralds a new trajectory for the evolution of future offshore operation technologies. …”
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Network control theory uncovers aberrant connectome controllability in trigeminal neuralgia by Tiantian Chu, Juan Peng, Feng Gao, Fei Xiong, Ye Tu

“…Structural connectomes were constructed using deterministic tractography and parcellated with the Brainnetome atlas. …”
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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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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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Cost and effectiveness of differentiated ART service delivery strategies in Zambia: a modelling analysis using routine data by Nkgomeleng A. Lekodeba, Sydney Rosen, Bevis Phiri, Sithabiso D. Masuku, Caroline Govathson, Aniset Kamanga, Prudence Haimbe, Hilda Shakwelele, Muya Mwansa, Priscilla Lumano‐Mulenga, Amy N. Huber, Sophie J. S. Pascoe, Lise Jamieson, Brooke E. Nichols

“…Methods We developed an Excel‐based mathematical model using retrospective retention and viral suppression data from a national cohort of ART clients (≥15 years) in Zambia between January 2018 and March 2022 stratified by age, sex, setting (urban/rural) and model of ART delivery. …”
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Linking Data for Mothers and Babies in De-Identified Electronic Health Data. by Katie Harron, Ruth Gilbert, David Cromwell, Jan van der Meulen

“…<h4>Results</h4>Of 672,955 baby records in 2012/13, 280,470 (42%) linked deterministically to a maternal record using hospital, GP practice, maternal age, birthweight, gestation, birth order and sex. …”
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An integrated workflow combining machine learning and wavelet transform for automated characterization of heterogeneous groundwater systems by Musaab A. A. Mohammed, Norbert P. Szabó, Abdelrhim Eltijani, Péter Szűcs

“…Abstract Groundwater aquifers are complex systems that require accurate lithological and hydrogeological characterization for effective development and management. Traditional methods, such as core analysis and pumping tests provide precise results but are expensive, time-consuming, and impractical for large-scale investigations. …”
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Application of sparrow search swarm intelligence optimization algorithm in identifying the critical surface in slope-stability by Abhijit Saha

“…The objective function to be optimized is the factor of safety against failure given by Bishop's (Bishop in Geotechnique 5:7–17, 1955) simplified method. Results show SSA is a strong contender to bio-inspired methods like genetic algorithms, big-bang big-crunch, simulated annealing, and artificial bee colony algorithms. …”
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Advanced Scalable Multi-Beam Focusing for Indoor Optical Wireless Networks With IR Radiative Clusters by Sharadhi Gunathilake, Ampalavanapillai Nirmalathas, Kosala Herath, Malin Premaratne

“…The Transformed problem is solved deterministically via Nelder-Mead simplex without gradients. …”
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