Prediction and control for the transmission of brucellosis in inner Mongolia, China by Sijia Liu, Jiajing Hu, Yifan Zhao, Xinyan Wang, Xuemei Wang

“…The model was fitted to human brucellosis data, and key transmission parameters were estimated to predict future trends. We also evaluated the impact of various control measures, including vaccination, disinfection, culling, and health education. …”
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Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

“…This study aims to evaluate machine learning (ML) model performance compared to WHO-recommended warning signs in predicting severe dengue among laboratory-confirmed cases in Puerto Rico. …”
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Factors Predicting the Adherence to the Therapy of Italian IBD Patients by Cristina Bucci, Fabiana Zingone, Stella Tammaro, Paola Iovino, Antonella Santonicola, Carolina Ciacci

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Machine Learning Based Engagement Prediction for Online Courses by Wang Wanning

“…SVMs, and random forests) in predicting online course participation. To ensure the accuracy and generalizability of the results, the paper evaluated the models using k-fold cross-validation. …”
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Outbreak prediction of covid-19 in most susceptible countries by D. Yadav, H. Maheshwari, U. Chandra

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Probabilistic Prediction of Maximum Tensile Loads in Soil Nails by Yongqiang Hu, Peiyuan Lin

“…The updated simplified nail load model was demonstrated to be accurate on average (mean of model factor equal to 1), and the spread in prediction quantified as the coefficient of variation of the model factor was about 40%. …”
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Prediction Tools in Spine Surgery: A Narrative Review by Martin Coia Jadresic, Joseph F Baker

“…There have been increasing reports on prediction models in spine surgery. Interest in prognostic tools or risk calculators can facilitate shared decision-making about treatment between patients and clinicians. …”
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An Enhanced Deep Neural Network for Predicting Workplace Absenteeism by Syed Atif Ali Shah, Irfan Uddin, Furqan Aziz, Shafiq Ahmad, Mahmoud Ahmad Al-Khasawneh, Mohamed Sharaf

“…In this paper, we propose Neural Networks and Deep Learning algorithms that can predict the behavior of employees towards punctuality at workplace. …”
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Two-Dimensional Ferroelectric Materials: From Prediction to Applications by Shujuan Jiang, Yongwei Wang, Guangping Zheng

“…Based on the work discussed in this review, we look ahead to theoretical prediction for 2D ferroelectric materials and their potential applications, such as the application in nonlinear optics. …”
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Chatter Prediction for Variable Pitch and Variable Helix Milling by Yong Wang, Taiyong Wang, Zhiqiang Yu, Yue Zhang, Yulong Wang, Hengli Liu

“…A comparison of the predicted and observed performance of variable pitch and variable helix against uniform pitch and uniform helix milling is presented. …”
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Predictive genetic circuit design for phenotype reprogramming in plants by Ci Kong, Yin Yang, Tiancong Qi, Shuyi Zhang

“…A predictive model is developed to predict the designed circuits’ behavior accurately. …”
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Obituaries and predictions: a sociological perspective on the future of religion by J. Beyers

“…There are reasons why religion did not disappear or become invisible as was predicted. The article investigates certain key characteristics of current society in order to determine the nature of religion in the future. …”
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Research on House Price Prediction based on Machine Learning by Yang Xiangjun

“…In recent years, machine learning techniques have shown remarkable potential in house price prediction, as these models can mine the complex nonlinear correlations in large amounts of historical data to produce more detailed and accurate predictions. …”
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Modeling and predicting the trend of temperature changes in Hamedan County by Zohreh Maryanji, fatemeh sotoudeh, meysam toulabi nejad, Ziba Zarrin

“…Understanding and predicting future climatic conditions and characteristics is crucial due to their implications for various aspects of life. …”
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Pedestrian trajectory prediction method based on group perception by WANG Ruyan, ZHOU Yudie, WU Dapeng, DUAN Ang, CUI Yaping, HE Peng

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The Application Prospects of Event Data in Traffic Flow Prediction by Chen Haochi, Guo Zixin, Jiang Zicong

“…Conventional methods of predicting traffic flow can often be based on weekdays, certain holidays, road conditions, or signal light circumstances. …”
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Soft Computational Approaches for Prediction and Estimation of Software Development by Xiao-Zhi Gao, Arun Kumar Sangaiah, Muthu Ramachandran

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Coupling Coordination of Water Governance and Tourism: Measurement and Prediction by Yuqing Geng, Mukasar Maimaituerxun, Han Zhang

“…This study analyzes the correlation mechanism of the water governance-tourism system, constructs the composite and aggregated evaluation system which consists of 5 dimensions and 15 indicators, uses information entropy weight technique for order preference by similarity to an ideal solution method to evaluate the development degrees of both water governance and tourism growth of the 11 regions in the Yangtze River Economic Zone, analyzes the two subsystems’ relation of coupling coordination temporally and spatially with the coupling coordination degree model, predicts degrees of coupling coordination of the regions for the next 4 years with gray system prediction model, and proposes specific and generalizable countermeasures. …”
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Fuzzy-Based Trust Prediction Model for Routing in WSNs by X. Anita, M. A. Bhagyaveni, J. Martin Leo Manickam

“…FTPR incorporates a trust prediction model that predicts the future behavior of the neighbor based on the historical behavior, fluctuations in trust value over a period of time, and recommendation inconsistency. …”
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Robust Model Predictive Control Schemes for Tracking Setpoints by Vu Trieu Minh, Fakhruldin Bin Mohd Hashim

“…This paper briefly reviews the development of nontracking robust model predictive control (RMPC) schemes for uncertain systems using linear matrix inequalities (LMIs) subject to input saturated and softened state constraints. …”
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