PREDICTIVE CONTROL SYSTEM SYNTHESIS OF DISTRICT HEATING SYSTEM by Dobrotin S.A., Prokopchuk E.L.

Subjects: “…predictive control…”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Predicting academic success has gained interest in education as a strong academic record improves a university’s ranking and increases student employment opportunities. …”
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COMPARATIVE MACHINE LEARNING ALGORITHM FOR CARDIOVASCULAR DISEASE PREDICTION by Ashish Mishra, Jyoti Mishra, Victor Hugo, Aloísio Vieira Lira Neto

“…It visually describes the dataset, operational parameters, and predictive analytics development. Machine learning (ML) begins with data preparation. …”
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Machine learning algorithms for predicting unemployment duration in Russia by Anna A. Maigur

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Using machine learning algorithms to predict colorectal polyps by Xingjian Xiao, Shiyou Liu, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Xianglong Xu

“…Interpretation: Using non-invasive factors and machine learning algorithms can accurately predict the occurrence of colorectal polyps in individuals with positive initial screening results. …”
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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

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Blind signal separation algorithm based on temporal predictability and differential search algorithm by Lei CHEN, Li-yi ZHANG, Yan-ju GUO, Yong HUANG, Jing-yi LIANG

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A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

“…Furthermore, dynamic network link prediction algorithms are classified into regular sampling and irregular sampling by the method of network sampling. …”
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Prediction Algorithm of Parameters of Toe Clearance in the Swing Phase by Tamon Miyake, Masakatsu G. Fujie, Shigeki Sugano

“…The proposed algorithm used the information of joint movements at the start of the swing phase and could predict both the future maximum and minimum toe clearances within the same swing phase.…”
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Deep Learning Algorithm-Based Financial Prediction Models by Helin Jia

“…The combined forecasting model proposed in this paper is based on the idea of decomposition-reconstruction synthesis, which effectively improves the model’s prediction of internal financial time series. In this paper, we select the CSI 300 Index and foreign exchange rate as the empirical market and data and establish seven forecasting models to make predictions about the short-term running trend of the closing price. …”
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Comparative analysis of boosting algorithms for predicting personal default by Nhat Nguyen, Duy Ngo

Subjects: “…Personal default prediction…”
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Financial distress prediction in Slovakia: An application of the CART algorithm by Marek Durica, Jaroslav Frnda, Lucia Svabova

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Integration of Genetic Algorithm with Machine Learning for Properties Prediction by Rathachai Chawuthai, Siripan Murathathunyaluk, Nalin Amornratthamrong, Run Arunchaipong, Amata Anantpinijwatna

“…Consequently, ML’s predictive capabilities have been extended to encompass a broader range of properties, including Partition Coefficient, Boiling Point, and Solubility, among others, for oxygenated hydrocarbon derivatives. …”
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Traffic Optimization Through Waiting Prediction and Evolutive Algorithms by Francisco García, Helena Hernández, María N. Moreno-García, Juan F. de Paz Santana, Vivian F. López, Javier Bajo

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Improving Prediction Algorithms for Cardiometabolic Risk in Children and Adolescents by Ulla Sovio, Aine Skow, Catherine Falconer, Min Hae Park, Russell M. Viner, Sanjay Kinra

“…Clustering of abnormal metabolic traits, the Metabolic Syndrome (MetS), has been associated with an increased cardiovascular disease (CVD) risk. Several algorithms including the MetS and other risk factors exist for adults to predict the risk of CVD. …”
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Prediction Method of Lithology Log Based on XGBoost Algorithm by CHU Qingjun, GE Yunlong, TONG Maosong, WANG Yan, AN Lyuxing, YU Chuanwu, JIA Xin

“…To solve this problem, an XGBoost algorithm-based model for predicting the photoelectric absorption cross-section index is established, and its prediction effect is compared with that of a neural network algorithm model. …”
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5G network slicing algorithm based on prediction by Jiageng ZHANG, Min ZHU, Feng DU, Qi WANG, Jun LIU, Zhihai SUO, Li WANG

“…5G on line scenario needs short build time of network slice, it can use prediction algorithm to isolate network resource in advance to reduce the construction time of network slice.A 5G network slicing algorithm based on prediction was proposed, which used fourth square as cost function to predict the network resource requests with accepted accurate and lower complexity of algorithm.And then based on the prediction result, virtual nodes and links resource were allocated, and container was pulled up when network slice request arrives to network, the dynamic creation of network slices was completed.The simulation results show that the proposed algorithm can get 90% accurate of prediction, and reduce 50% construction time of network slice, and improve the network utilization ration，when new network slice reusing the original network slice.…”
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Water Quality Prediction Using Artificial Intelligence Algorithms by Theyazn H. H Aldhyani, Mohammed Al-Yaari, Hasan Alkahtani, Mashael Maashi

“…In this work, advanced artificial intelligence (AI) algorithms are developed to predict water quality index (WQI) and water quality classification (WQC). …”
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Terrain Simplification Algorithm in Radio Wave Propagation Prediction by Dan Shi, Zhen Zhang, Fengshuo Wei, Cheng Lian

“…In order to study the influence of terrain simplification on the prediction of complex electromagnetic environment, a visibility algorithm used in the regular model of terrain and a probability-based power propagation model are proposed. …”
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Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms. by Jo-Wai Douglas Wang

“…Overall, NB has much potential as an algorithm, due to its simplicity and interpretability whilst maintaining competitive predictive performance.…”
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