Predicting Scientific Research Impacts in Biotechnology by Machine Learning Algorithms by Ghasem Azadi Ahmadabadi

Subjects: “…predicting research impact…”
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An Investigation on Prediction of Infrastructure Asset Defect with CNN and ViT Algorithms by Nam Lethanh, Tu Anh Trinh, Mir Tahmid Hossain

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Predictive Models for Educational Purposes: A Systematic Review by Ahlam Almalawi, Ben Soh, Alice Li, Halima Samra

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Machine Learning Predictive Models for Survival in Patients with Brain Stroke by Solmaz Norouzi, Samira Ahmadi, Shayeste Alinia, Farshid Farzipoor, Azadeh Shahsavari, Ebrahim Hajizadeh, Mohammad Asghari Jafarabadi

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Comparative Analysis of Supervised Machine Learning Algorithms for COVID-19 Prediction by Rubina Shaheen, Beenish Akram, Amna Zafar, Talha Waheed

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Design and analysis of active queue management algorithm based on predictive control by WANG Ping, CHEN Hong, LU Xiao-hui

“…Model predictive control as a novel active queue management（AQM） algorithm was proposed for Internet system with large delay,called MPAQM.Considering the causality of time-delay system,the predicted output was defined.Then,the control requirement was converted to the optimal control objective,and the drop probability was obtained by solving the optimal problem.Furthermore,the delay-independent stability condition of closed-loop system was derived,which gave the guidelines how to select the parameters of MPAQM algorithm to assure the stability and fast convergence of the network system.The performances of MPAQM were evaluated through a series of simulations in NS2 under the single/multiple topology.The simulation results show that the queue length with MPAQM algorithm reaches the desired value with minimal tracking error and lower drop probability.MPAQM algorithm outperforms RED,PI and SPI-RED algorithms in terms of disturbance rejection,stability,and robustness.…”
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Complex Network Algorithm for Glossary Formation Context-Related Predictive Terms by Oleg Popov, Adrian Grosu, Sergey Kramarov

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A Model Predictive Algorithm for Active Control of Nonlinear Noise Processes by Qi-Zhi Zhang, Woon-Seng Gan, Ya-li Zhou

“…Computer simulations are carried out to compare the proposed nonlinear MPC method with the nonlinear Filter-x Least Mean Square (FXLMS) algorithm. The results showed that the convergence speed of the proposed nonlinear MPC algorithm is faster than that of nonlinear FXLMS algorithm. …”
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Genomic and algorithm-based predictive risk assessment models for benzene exposure by Minyun Jiang, Minyun Jiang, Na Cai, Na Cai, Juan Hu, Lei Han, Lei Han, Fanwei Xu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Baoli Zhu, Boshen Wang

“…AimIn this research, we leveraged bioinformatics and machine learning to pinpoint key risk genes associated with occupational benzene exposure and to construct genomic and algorithm-based predictive risk assessment models.Subject and methodsWe sourced GSE9569 and GSE21862 microarray data from the Gene Expression Omnibus. …”
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Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, SONG Junhui

“…A model predictive control (MPC) method and its fast optimization solution method based on operator partition quadratic programming were studied and deduced. …”
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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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PREDICTIVE CONTROL SYSTEM SYNTHESIS OF DISTRICT HEATING SYSTEM by Dobrotin S.A., Prokopchuk E.L.

Subjects: “…predictive control…”
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Explainable Predictive Factors for Inter-Agency Partnership Success by Nicola Drago, Goncalo Afonso Braz, Tullio Vardanega

“…With bootstrap sampling, instead, we computed confidence intervals. Our rating predictions were rather good. Explainable AI models achieved a Matthews Correlation Coefficient of 0.749. …”
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House Market Prediction Using Machine Learning by Nicușor-Andrei ANDREI

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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“… This study addresses the crucial issue of predicting student performance in educational data mining (EDM) by proposing an Adaptive Dimensionality Reduction Algorithm (ADRA). …”
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Impact of dimensionality reduction techniques on student performance prediction using machine learning by Koushik Roy, Huu-Hoa Nguyen, Dewan Md. Farid

“… This study addresses the crucial issue of predicting student performance in educational data mining (EDM) by proposing an Adaptive Dimensionality Reduction Algorithm (ADRA). …”
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Prediction of the corrosion rates of subsea pipelines via KPCA by Shiqi Xu, Changhe Huang, Hongda Zhao

Subjects: “…KPCA algorithm…”
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A congestion prediction method based on trajectory mining algorithm by Liu Dongjiang, Li Leixiao, Li Jie

“…So many traffic congestion prediction methods have been proposed. Almost all these methods are based on traffic flow prediction algorithm. …”
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Water Quality Prediction Based on Hybrid Deep Learning Algorithm by Bhagavathi Perumal, Niveditha Rajarethinam, Anusuya Devi Velusamy, Venkatesa Prabhu Sundramurthy

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A Stock Prediction Model Based on Cart and Boosting Algorithm by WANG Yu, CHEN De-yun, TANG Yuan-xin

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