Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, SONG Junhui

“…A mathematical simulation system including the nonlinear mathematical model of ROV, the parameter identification algorithm module and the MPC algorithm module were developed. …”
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Study on the Switching Model Predictive Control Algorithm in Batch Polymerization Process by Jong Nam Kim, Chun Bae Ma, Hyok Jo, Un Chol Han, Hyon-Tae Pak, Son Il Hong, Ri Myong Kim

“…In this paper, a new switching model predictive control algorithm that can be effectively used for the temperature control of batch polymerization process is developed and its effectiveness is verified by introducing it to industrial batch polyvinyl chloride polymerization process. …”
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Resolving the Credibility Crisis: Recommendations for Improving Predictive Algorithms for Clinical Utility by Stephen Ruberg, Sandeep Menon, Charmaine Demanuele

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Passive Drag Reduction Optimization for Complex Commercial Vehicle Models by G. Liao, M. Xue, L. Yue, H. Yang, P. Guo, X. Hu, Z. Wang, T. Ma

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Steiner eccentricity: Predictions and applications by Xingfu Li, Zongbo Yang, Siyi Lin, Jialu Wang

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EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education by Nornina J. Dia, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Jeffrey M. Mondejar, Elizabeth R. Genotiva, Reymark D. Delena

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Heat transfer and simulated coronary circulation system optimization algorithms for real power loss reduction by Kanagasabai L.

“…In this paper, the heat transfer optimization (HTO) algorithm and simulated coronary circulation system (SCCS) optimization algorithm has been designed for Real power loss reduction. …”
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A peak-to-average power ratio reduction algorithm for OTFS systems in satellite-to-ground scenarios by SONG Qiangjian, CHEN Yumeng, ZHU Lidong

Subjects: “…partial transfer sequence algorithm…”
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Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems by CHEN Jia, ZHANG Hanjun, XU Nan

“…To alleviate the “curse of dimensionality” and improve the solution efficiency while ensuring the quality of solutions in optimizing the operation of multi-reservoir systems,this paper proposes a spatiotemporally combined dimensionality reduction algorithm which integrates and improves the dynamic programming with successive approximation (DPSA) and the progressive optimality algorithm (POA).First,a chain-based successive approximation strategy is proposed to expand the DPSA's optimization mode from “single reservoir alternation” to “cascade reservoir chain alternation”,which makes up for the DPSA's shortcomings in dealing with the hydraulic coupling relationships among cascade reservoirs.Then,a dynamic variable decoupling strategy and perturbation mechanism are proposed to deal with the POA's blind search problem and dimensionality problem.Finally,the two improved algorithms are combined,in which the improved POA is applied to solving the optimization problems of cascade reservoir chains under the framework of the improved DPSA.The power generation operation problem of the cascade reservoirs in the Yuan River Basin of Hunan Province and the classical ten-reservoir problem are utilized to test the performance of the proposed algorithm.The proposed algorithm outperforms seven existing alternatives in terms of solution quality and efficiency.The results indicate that the proposed algorithm can effectively alleviate the “curse of dimensionality” in optimizing the operation of multi-reservoir systems,improve the efficiency while ensuring the quality of solutions and has potential to be applied to optimizing the operation of complex large-scale multi-reservoir systems.…”
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Exploring quantum control landscape and solution space complexity through optimization algorithms and dimensionality reduction by Haftu W. Fentaw, Steve Campbell, Simon Caton

“…Evaluations of traditional control techniques and machine learning algorithms reveal that Genetic Algorithms (GA) outperform Stochastic Gradient Descent (SGD), while Q-learning (QL) shows great promise compared to Deep Q-Networks (DQN) and Proximal Policy Optimization (PPO). …”
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A Novel Iterative-SLM Algorithm for PAPR Reduction in 5G Mobile Fronthaul Architecture by Mohammed I. Al-Rayif, Hussein Seleem, Amr Ragheb, Saleh Alshebeili

“…The proposed algorithm uses orthogonal phase vectors construction. …”
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Optimization Design of the Two-Stage Reduction Micro-Drive Mechanism Based on Particle Swarm Algorithm by Na Zhang, Dongmei Wang, Kai Li, Kaiyang Wei, Hongyu Ge, Manzhi Yang

Subjects: “…two-stage reduction…”
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The Active and Reactive Power Generation Reduction Based on Optimal location of UPFC Based on Genetic Algorithm by Sana Khalid Abd Al Hassan, Firas Mohammed Tuaimah, Yasser Nadhum Abd, Ali Adil Al-Lami

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Reducts in Rough Sets: Algorithmic Insights, Open Source Libraries and Applications (Tutorial – Extended Abstract) by Andrzej Janusz, Sebastian Stawicki

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A feature selection and scoring scheme for dimensionality reduction in a machine learning task by PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses

Subjects: “…Algorithm…”
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Using PAT for Energy Recovery and Pressure Reduction in Water Distribution Networks by Hamed Mohammadi, Mahnaz Ghaeini-Hessaroeyeh, Ehsan Fadaei-Kermani

“…Regarding this purpose, the genetic algorithm is used by MATLAB software, in which the hydraulic model of the water distribution network is carried out in WaterGEMS software. …”
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Interactive Visualization of the Printed Circuits Tracing Algorithms for Educational Purposes by D. O. Petrov

Subjects: “…digitalization of education…”
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AN ALGORITHM FOR ORGANIZING AND GROUPING DATA RELATED TO THE EXPENDITURESBY EDUCATION LEVELS by Delyana DIMOVA

“…This paper presents an algorithm for organizing and grouping data related to the expenditures by education levels in Bulgaria. …”
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ALGORITHMIC THINKING IN HIGHER EDUCATION: DETERMINING OBSERVABLE AND MEASURABLE CONTENT by Marian Byrka, Andrii Sushchenko, Volodymyr Luchko, Galina Perun, Victoria Luchko

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Psychosemantic approach as the basis for the algorithmization technology of processing educational information by Elena V. Tsupikova, Margarita V. Tsyguleva

“…Semantic principles (matching of logical and linguistic categories, considering the text from the inner and outer speech, considering the text as cognitive and communicative essence; differentiation between the meaning and sense as between the semantics of the outer speech and the semantics of thinking; identification of semantic relationships between information elements, etc.), psychological and pedagogical principles (self-reflection support of learning activity; self-motivation due to determining usefulness and applicability of information; self-organization of students while creating their own algorithms of learning activity, etc.), and psycholinguistic principles (building logical supporting schemes, analogues of universal subject codes; semantic evaluation of the quantitative and qualitative characteristics of information, etc.)of work with scientific and educational profession-oriented information are described and correlated with the learning content and mechanisms of students verbal and cognitive activity. …”
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