Using data mining techniques to improve inflation rate management by Fatemeh Zahra Abedi Samakoosh, Soheila Karbasi

“…Then, by running the traveling salesman algorithm on the graph, we found a path where the group of foods and beverages is the bottleneck of the research subject. …”
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Methodology for determining and controlling the load capacity of integrated circuits by Gennady P. Shopin, Alina A. Denisyuk, Mikhail N. Piganov

“…It includes a model, a control device and an algorithm for its functioning. A well-known model was used, which was adapted to specific development and research tasks. …”
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Research on Random Access Technology of Inter-Frame Interference Cancellation for 6G Satellite Internet of Things by Yu XU, Qing GUO

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Comparing an Artificial Intelligence Planner with Traditional Optimization Methods: A Case Study in the Dairy Industry by Felipe Martins Müller, Vanessa Andréia Schneider, Olinto Cesar Bassi de Araujo, Claudio Roberto Scheer Júnior, Guilherme Lopes Weis

“…The APS application showed limitations compared to the other optimization approaches, with the Exact Method proving the most efficient. Finally, all algorithms, models, and results are available on GitHub, aiming to foster further research and enhance operational efficiency in the dairy sector through optimization.…”
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Generative design recommendations for the historical Mardiṅ High School and Gaziṗaşa Primary School buildings, Turkey by Mizgin Gökçe Salık, Fatma Demet Aykal

“…Genetic algorithms and shape grammars were the main methods employed. …”
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Treatment in patients with osteoarthritis at different sites: Place of slow-acting drugs by N. V. Chichasova, G. R. Imametdinоva

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Efficient traffic management with adaptive SDN in vehicular networks by Sherine Jenny Rajan, Sugirtham Narayanaswamy, Thiyaneswaran Balashanmugam, Kumarganesh Sengottaiyan, Anthoniraj Selvaraj, Pratham Majumder, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

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Bayesian Network-Based Landslide Susceptibility Safe Route Assessment in the Face of Uncertain Knowledge and Various Information by Xinyu Gao, Bo Wang, Wen Dai, Yuanmin Liu

“…Unfortunately, little research has addressed this issue in depth. In this study, we propose an integrated framework that combines a Bayesian network (BN)-based landslide susceptibility map (LSM) with an improved A* algorithm for safe and efficient route planning. …”
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A Randomized Q-OR Krylov Subspace Method for Solving Nonsymmetric Linear Systems by Gérard Meurant

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Conceptual Approaches аnd the Program of Polimas-Stability Study of Migration of Foreign Students in Russia by N. A. Shchitova, V. S. Belozerov, I. A. Soloviev

“…In accordance with the logic of the developed concept, a program for studying the spatial features of the immigration of foreign students in Russia is presented. The step-by-step algorithm of the research program includes several stages, reflecting the nature and content of the main tasks to be solved.Conclusions. …”
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A survey on localization and energy efficiency in UWSN: bio-inspired approach by J. Murali, T. Shankar

“…In this comprehensive survey, the basics of UWSNs are covered in the introduction, followed by a thorough literature review of the existing works mainly focusing on localization, energy efficiency, Bio-inspired algorithms (BIA), and the impact of implementing Machine Learning (ML) are discussed. …”
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Sonography and mammogram in the diagnosis of mammary cancer developed because of the non-malignant proliferative changes by M. A. Tsesarsky, I. G. Frolova, D. G. Bukharin, N. Yu. Fomina, E. M. Slonimskaya, S. A. Velichko

“…The differentiation line of diagnostic criteries at fibroadenoma and carcinoma if defined and the diagnostic algorithm is worked out. The necessity to use sonography as the main method of examining women (younger than 50 years old) at mammary disease is discussed.…”
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Developing a Mathematical Model for Scheduling and Determining Success Probability of Research Projects Considering Complex-Fuzzy Networks by Gholamreza Norouzi, Mehdi Heydari, Siamak Noori, Morteza Bagherpour

“…Through the deliverables of this method, a proper estimation of project completion time (PCT) and success probability can be achieved. So algorithms were developed to cover all features of the problem based on three main parameters “duration, occurrence probability, and success probability.” …”
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Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression by Lv Yingming, Yuan Wenping

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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…To serve this purpose, we mainly proposed the Circular Intuitionistic Fuzzy Dombi Prioritized weighted averaging (C-IFDPWA) and Circular Intuitionistic Fuzzy Dombi Prioritized geometric (C-IFDPWG) operators. …”
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A Novel Two-Stage Adaptive Filtering Model-Based GNSS/INS Tightly Coupled Precise Relative Navigation Algorithm for Autonomous Aerial Refueling by Ling Wu, Yongrong Sun, Xiyu Fu, Rui Xu

“…Autonomous aerial refueling (AAR) has generated great interest in recent years. However, much research has focused on the vision-based close docking stage; few studies have been conducted on the navigation algorithm for the rendezvous and following stages. …”
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Research and Application on Automatic Stratigraphic Sequence Division and Comparison Method Based on Integrated Prediction Error Filter Analysis by NING Weifeng, WANG Caizhi, JIANG Qingchun, LIU Yingming, WANG Hao, WEI Xingyun, LIN Yaoqiang

“…The source rocks of the Qingshankou formation are mainly distributed in the transgressive systems tract of SQ1, while the main shale sweet spot Q9 develops in the late transgressive stage of the third-order sequence SQ1, and it is located in the period of stable to slowly falling lake level in the fourth-order sequence SQ13. …”
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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

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Research on the integrated "cloud-edge-end" intelligent and precise management and control technology system for coal mine disasters by LIU Yubing, LI Yiteng, LI Zhonghui, YIN Shan, JING Chao, LI Kai, LI Zhenxing, ZHAO Shenglei, LIU Chengfei

“…Constructing an intelligent and precise disaster management system for coal mines helps improve the accuracy of accident prediction and early warning, enabling intelligent risk assessment. Existing research mainly focuses on monitoring and early warning technologies or algorithm optimization for individual disasters, lacking a coordinated mechanism for multi-disaster monitoring and early warning, as well as disaster avoidance path planning under emergency response. …”
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Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station by R. Fernandez-Moran, J. P. Wigneron, E. López-Baeza, M. Miernecki, P. Salgado-Hernanz, M.A. Coll, Y. H. Kerr, M. Schwank

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