Spatiotemporal data modeling and prediction algorithms in intelligent management systems by Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng

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Application of machine learning algorithms in predicting pyrolytic analysis result by Thi Nhut Suong Le, A. V. Bondarev, L. I. Bondareva, A. S. Monakova, A. V. Barshin

“…In this paper, machine learning regression algorithms are applied for predicting one of the pyrolysis parameters of extracted samples based on the pyrolytic analysis results of the extracted and non-extracted samples. …”
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Chronic Kidney Disease Prediction Based On Machine Learning Algorithms by Kethineni Likitha., Nithinchandra, Kumar Narendra, Sk Sajida Sultana.

“…This paper analyses the suitability of several machine learning algorithms for CKD prediction in consideration of health-related parameters like age, blood pressure, and blood glucose levels. …”
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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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A novel model for malaria prediction based on ensemble algorithms. by Mengyang Wang, Hui Wang, Jiao Wang, Hongwei Liu, Rui Lu, Tongqing Duan, Xiaowen Gong, Siyuan Feng, Yuanyuan Liu, Zhuang Cui, Changping Li, Jun Ma

“…However, a stacking architecture can solve this problem by combining distinct algorithms and models. This study compares the performance of traditional time series models and deep learning algorithms in malaria case prediction and explores the application value of stacking methods in the field of infectious disease prediction.…”
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Fetal health classification with predictive algorithm by using Ensemble Model by Devi V. Sowmya, Kancharakuntla Manoj Reddy, Paleti Goutam Nayudu, Madhunala Akash

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Research on Pressurizer Pressure Control Based on Adaptive Prediction Algorithm by Hong Qian, Yuan Yuan, Yu Wang, Gaofeng Jiang, Ting Yang

“…Furthermore, it provides a solution for the application of dynamic matrix control algorithm in non-self-regulating system.…”
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Predicting Voluntary Auditor Change Using the Water Cycle Algorithm by Erfan Safdel, Hoda Eskandar, Hassan Yazdifar

“…In general, the criteria of accuracy, precision, sensitivity, and specificity in predicting the change of auditor using the Water Cycle Algorithm were 89%, 75%, 2%, and 99.9%, respectively. …”
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A Prediction Algorithm for Coexistence Problem in Multiple-WBAN Environment by Zilong Jin, Yoonjeong Han, Jinsung Cho, Ben Lee

“…Therefore, this paper presents a learning-based algorithm to efficiently predict the coexistence condition in a multiple-WBAN environment. …”
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Noise-tolerant Grover's algorithm via success-probability prediction by Jian Leng, Fan Yang, Xiang-Bin Wang

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Application of Artificial Intelligence Algorithms in the Field of Antimicrobial Peptide Prediction by QIAN Yuchen, NIE Ting, HUA Yanming, XU Shiying, GUO Sheng, ZHANG Xin, LUO Xiaohu, LIU Yanan

“…This article reviews the principles and applicability of various current artificial intelligence algorithmic models for predicting antimicrobial peptides, and explores prediction models specifically designed to address the dilemma facing the application of antimicrobial peptides. …”
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ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

“…It is necessary to study more effective control algorithm in ATO system. As the train operation process is a complex nonlinear system, and fuzzy predictive control algorithm has good control effect and strong robustness, the model accuracy requirement is not high, it can overcome the influence of various uncertainty and complex changes. …”
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Retracted: Water Quality Prediction Using Artificial Intelligence Algorithms by Applied Bionics and Biomechanics

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Predicting Quail Egg Quality Using Machine Learning Algorithms by BI Yildiz, K Eskioğlu, D Özdemir, M Akşit

“…ABSTRACT This study evaluates the effectiveness of machine learning algorithms in predicting quail egg quality based on nine key parameters, including egg weight, egg width, egg length, yolk height, yolk width, yolk weight, albumen height, albumen width, and albumen length. …”
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Dynamically Predicting the Quality of Service: Batch, Online, and Hybrid Algorithms by Ya Chen, Zhong-an Jiang

“…A general system architecture for such systems continuously collects the user-service invocation records and includes both an online training module and an offline training module for quality prediction. In addition, we introduce matrix factorization-based online and offline training algorithms based on the gradient descent algorithms and demonstrate the fitness of this online/offline algorithm framework to the proposed architecture. …”
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Time series data aggregation algorithm with synchronous prediction for WBAN by Ru-yan WANG, Mei-ling ZHAI, Da-peng WU

“…Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.…”
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The Successful Prediction of Waterflooding Using a Feed-Forward Algorithm by Qunazatul Shima Batubara*, Tomi Erfando

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Slot-predicting based ALOHA algorithm for RFID anti-collision by LI Meng, QIAN Zhi-hong, ZHANG Xu, WANG Yi-jun

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Machine Learning Algorithms in Predicting Prices in Volatile Cryptocurrency Markets by Miguel Jiménez-Carrión, Gustavo A. Flores-Fernandez

“…This study aims to develop a predictive model for cryptocurrency prices in highly volatile markets. …”
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Fast intra prediction algorithm applied in QS enhancement layer by WANG Da-yong1 SHU Jian2

“…A fast intra coding algorithm was proposed which was suitable for enhancement layer in quality salability.Base on the coding structure of quality scalability,our algorithm used the relationships between layers,the relationships between rate distortion and modes,and temporal and spatial relationships to predict the modes and coding order to be ap-plied,with an early termination determined by the relationships between quantization parameters and modes,residual co-efficients,and rate distortion.The experimental results show that the encoding speed of the proposed algorithm can be improved by 70%,with negligible coding loss.…”
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