Residential Building Duration Prediction Based on Mean Clustering and Neural Network by Fanrong Ji, Yunquan Nan, Aifang Wei, Peiyan Fan, Zhaoyuan Luo, Xiaoqing Song

“…The model was validated and assessed through root mean square error (RMSE), correlation coefficient (R), and average error rate, demonstrating that the GA-BP neural network model is effective in predicting the duration of residential buildings. To enhance the predictive accuracy of the GA-BP neural network model, this research utilized an artificial bee colony (ABC)-improved K-means clustering algorithm to categorize 111 experimental datasets and 33 new datasets. …”
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Prediction of Vibration Velocity of Bench Blasting Reflecting Negative Elevation Effect by Xiaojun Zhang, Jianjun Shi

“…In the field of mine blasting practice, accurate prediction of blasting vibration is considered as a critical task. …”
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Measurement Of Umbilical Venous Lactate Levels For Predicting Poor Neonatal Outcomes by Maria Habib, Maliha Akhtar Qureshi, Irum Sohail

“…Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated. …”
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A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment by Jie Zhu, Hong Zhu, Nan Lin

“…The dynamic prediction of financial distress can monitor the financial status of an enterprise in real time and provide evidence for financial analysts. …”
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On the use of the stepped isostress method in the prediction of creep behavior of polyamide 6 by Lakhdar Sedira, Mohsein Tedjini, Belhi Guerira, Kamel Meftah

“… The stepped isostress method (SSM) is an advanced technique which allows the prediction of the long-term behavior and enables the construction of creep master curves of materials with short-term experimental tests. …”
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Explainable surrogate modeling for predicting temperature separation performance of the vortex tube by Hyo Beom Heo, Jun Ho Lee, Jeong Won Yoon, Sangseok Yu, Byoung Jae Kim, Seokyeon Im, Seung Hwan Park

“…Numerous studies have proposed a data-driven surrogate model to predict the temperature at an outlet. These data-driven models are a narrow model that is suitable for the specific device. …”
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Lung Cancer Prediction Based on K-nearest Neighbor and Other Algorithms by Ren Yimo

“…By collecting lung cancer patients and clinical data sets, basic prediction is realized through programming code, and data visualization is finally realized to complete prediction. …”
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Positive sentiment and expertise predict the diffusion of archaeological content on social media by Chiara Bonacchi, Marta Krzyzanska, Alberto Acerbi

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Space-Time Hybrid Model for Short-Time Travel Speed Prediction by Qi Fan, Wei Wang, Xiaojian Hu, Xuedong Hua, Zhuyun Liu

“…The experimental results demonstrate that the proposed method can be used to explore the periodic characteristics of speed data and show abilities in increasing the accuracy of travel speed prediction.…”
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The Possibility or Impossibility of Stock Price Prediction: Evidence from the Petrochemical Industry by Masoud Alizadeh Chamazkoti, Mehdi Fathabadi, Mahmod Mahmodzadeh, Saleh Ghavidel Doostkouei

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IL-10 and socs3 Are Predictive Biomarkers of Dengue Hemorrhagic Fever by Lilian Karem Flores-Mendoza, Tania Estrada-Jiménez, Virginia Sedeño-Monge, Margarita Moreno, María del Consuelo Manjarrez, Guadalupe González-Ochoa, Lourdes Millán-Pérez Peña, Julio Reyes-Leyva

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Development of Macroscopic Cell-Based Logistic Lane Change Prediction Model by Christina Ng, Susilawati Susilawati, Md Abdus Samad Kamal, Irene Mei Leng Chew

“…This paper aims at developing a macroscopic cell-based lane change prediction model in a complex urban environment and integrating it into cell transmission model (CTM) to improve the accuracy of macroscopic traffic state estimation. …”
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Expression‐based machine learning models for predicting plant tissue identity by Sourabh Palande, Jeremy Arsenault, Patricia Basurto‐Lozada, Andrew Bleich, Brianna N. I. Brown, Sophia F. Buysse, Noelle A. Connors, Sikta Das Adhikari, Kara C. Dobson, Francisco Xavier Guerra‐Castillo, Maria F. Guerrero‐Carrillo, Sophia Harlow, Héctor Herrera‐Orozco, Asia T. Hightower, Paulo Izquierdo, MacKenzie Jacobs, Nicholas A. Johnson, Wendy Leuenberger, Alessandro Lopez‐Hernandez, Alicia Luckie‐Duque, Camila Martínez‐Avila, Eddy J. Mendoza‐Galindo, David Cruz Plancarte, Jenny M. Schuster, Harry Shomer, Sidney C. Sitar, Anne K. Steensma, Joanne Elise Thomson, Damián Villaseñor‐Amador, Robin Waterman, Brandon M. Webster, Madison Whyte, Sofía Zorilla‐Azcué, Beronda L. Montgomery, Aman Y. Husbands, Arjun Krishnan, Sarah Percival, Elizabeth Munch, Robert VanBuren, Daniel H. Chitwood, Alejandra Rougon‐Cardoso

“…Methods Here, we examine the ability of models based on Arabidopsis gene expression data to predict tissue identity in other flowering plants. …”
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Hydraulic Fracturing Breakdown Pressure and Prediction of Maximum Horizontal In Situ Stress by Ali Lakirouhani, Somaie Jolfaei

“…The evaluation of the results shows that the obtained neural network model has a good ability to predict the maximum horizontal stress.…”
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First-principles and machine-learning approaches for interpreting and predicting the properties of MXenes by José D. Gouveia, Tiago L. P. Galvão, Kais Iben Nassar, José R. B. Gomes

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Nomogram-Based Prediction of the Risk of Diabetic Retinopathy: A Retrospective Study by Ruohui Mo, Rong Shi, Yuhong Hu, Fan Hu

“…Secondly, multivariable logistic regression analysis was applied to build a predicting model introducing the predictors selected from the LASSO regression analysis. …”
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Research on the Meteorological Prediction Algorithm Based on the CNSS and Particle Swarm Optimization by Li Yang, Meng Zhang, Yunhan Zhang

“…In this study, a meteorological prediction algorithm based on the CNSS and particle swarm optimization is proposed. …”
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The Application of the Logistic Equation Model to Predict the Remineralization Characteristics of Desensitizing Paste by Stanley Chibuzor Onwubu, Phumlane Selby Mdluli, Shenuka Singh, Obiora Cornelius Collins

“…A mathematical model making using of the Verhulst logistic equation was developed to predict the remineralization behaviors of desensitizing paste. …”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

“…One of those areas is the prediction and prevention of consumer churn. There are two basic types of consumer churn, complete churn and partial churn. …”
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Prediction of Poor Outcome Using the Urea to Albumin Ratio in Thoracic Empyema by Evgeni Dimitrov, Daniel Valchev, Georgi Minkov, Emil Enchev, Yovcho Yovtchev

“…Therefore, our aim was to determine whether this marker has the ability to predict outcome in such patients. Methods: A single-center retrospective study was conducted in a Clinic of Thoracic Surgery at a University Hospital between January 2021 and October 2023. …”
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