Machine learning method based on enhanced CT to predict perineural invasion of rectal cancer by Jiacheng Shen, Long Jin, Shengnan Yin

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Predicting Traffic Accident Risk in Seoul Metropolitan City: A Dataset Construction Approach by Ji-Woong Yang, Hyeon-Jin Jung, Tae-Wook Kim, Han-Jin Lee, Ellen J. Hong

“…Recent studies utilizing Grid Maps and time-series methods have shown promising results in identifying factors related to traffic accidents and predicting accident occurrence rates. However, most existing research employs data without thoroughly analyzing its definitive correlation with traffic accidents, focusing solely on an overarching integration process or exclusively considering road conditions, while neglecting environmental factors surrounding the roads. …”
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Corrosion�s impact on wire rope strand response � Comparison with a theoretical predictive model by Amal Tijani, Meryam Meknassi, Hassan Chaffoui, Mohamed Elghorba

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Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach by Mohamed Khalid AlOmar, Mohammed Majeed Hameed, Nadhir Al-Ansari, Mohammed Abdulhakim AlSaadi

“…The accurate and more reliable prediction of TDG has a very significant role in preserving the diversity of aquatic organisms and reducing the phenomenon of fish deaths. …”
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A Study on the performance of Four Regression Models in Predicting Weather Temperature Based on Python by Li Taobei

“…Performance metrics were used to evaluate the models' predictive capacity. With the highest R2 value and the lowest error metrics, Random Forest Regression fared better than the other models, suggesting higher predictive accuracy, according to the data. …”
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Predictive Control for PV- Water Pumping System based of Interconnected High Gain Observer by Lamouchi Zakaria, Allal Abderrahim, Abderrahmane Khechekhouche, Antonio Marcos de Oliveira Siqueira, Júlio Cesar Costa Campos, Kheireddine Lamamra

Subjects: “…Conventional control. Deatbeat Predictive Control. Cost function. High gain observer.…”
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Using resistor network models to predict the transport properties of solid-state battery composites by Lukas Ketter, Niklas Greb, Tim Bernges, Wolfgang G. Zeier

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Quantitative Prediction of Favorable Targets for Hydrocarbon Accumulation in the Yuanba Area of the Sichuan Basin, China by Caijun Li, Yuxuan Chen, Xiongqi Pang, Hao Lin, Longhao Xie, Huiyi Xiao, Tao Hu, Tong Wang, Dingye Zheng, Jiwang Yu

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Serum adropin levels as a potential biomarker for predicting diabetic kidney disease progression by I-Wen Chen, I-Wen Chen, Cheng-Wei Lin, Cheng-Wei Lin, Cheng-Wei Lin, Chia-Ni Lin, Chia-Ni Lin, Szu-Tah Chen, Szu-Tah Chen, Szu-Tah Chen

“…BackgroundTo investigate the value of serum adropin in predicting chronic kidney disease (CKD) progression in subjects with type 2 diabetes (T2D).Materials and methodsSerum adropin levels were measured in normal control and T2D patients with various stage of CKD. …”
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Frugivore Traits Predict Plant–Frugivore Interactions Using Generalized Joint Attribute Modeling by Laurel R. Yohe, Leith B. Leiser‐Miller, Zofia A. Kaliszewska, Susan R. Whitehead, Sharlene E. Santana, Liliana M. Dávalos

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Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation by Jae-Hyun Seo, Yong Hee Lee, Yong-Hyuk Kim

“…We developed a method to predict heavy rainfall in South Korea with a lead time of one to six hours. …”
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Learning-based pattern-data-driven forecast approach for predicting future well responses by Yeongju Kim, Baehyun Min, Alexander Sun, Bo Ren, Hoonyoung Jeong

“…ECS addresses the conditioning and prediction variance issues of LDFA and LPFA by combining predictions of multiple learning models and screening out predictions that do not sufficiently honor observed data. …”
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Prediction and Analysis of Polished Rod Dynamometer Card in Sucker Rod Pumping System with Wear by Dongyu Wang, Hongzhao Liu

“…L2111 well of an oilfield as an example, the change curves of the wear volume and wear time with abrasive particle diameter were plotted, and the polished rod dynamometer card considering wear was predicted. The results showed that the increased clearance caused by wear will reduce the polished rod load on upstroke of the sucker rod pumping system, which could provide a theoretical basis for the next fault diagnosis.…”
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Model Predictive Control for Continuous-Time Singular Jump Systems with Incomplete Transition Rates by Xinxin Gu, Jiwei Wen, Li Peng

“…This paper is concerned with model predictive control (MPC) problem for continuous-time Markov Jump Systems (MJSs) with incomplete transition rates and singular character. …”
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Comparisons between Hygroscopic Measurements and UNIFAC Model Predictions for Dicarboxylic Organic Aerosol Mixtures by Jae Young Lee, Lynn M. Hildemann

“…Our experimental measurements of water activity for malonic acid solutions (0–10 mol/kg water) and glutaric acid solutions (0–5 mol/kg water) agreed to within 0.6% and 0.8% of the predictions using Peng’s modified UNIFAC model, respectively (except for the 10 mol/kg water value, which differed by 2%). …”
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Using Sequence Mining to Predict Complex Systems: A Case Study in Influenza Epidemics by Theyazn H. H. Aldhyani, Manish R. Joshi, Shahab A. AlMaaytah, Ahmed Abdullah Alqarni, Nizar Alsharif

“…This paper presents three adapting intelligence models: support vector machine regression (SVMR), artificial neural network using particle swarm optimisation (ANNPSO), and our intelligent time series (INTS) to predict influenza epidemics. The novelty of the current study is that it proposes a new intelligent model to predict influenza outbreaks. …”
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Application of Bioinformatics Tools for the Prediction of Helper MicroRNAs for Improvement of Oncolytic Virus Efficacy by Nasrin Rastegarvand, Hoorieh Soleimanjahi, Ehsan Arefian, Mahmoud Reza Pourkarim

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Prediction of groundwater level Sharif Abad catchment of Qom using WANN and GP models

“…In this study is predicted the groundwater level of Sharif Abad catchment using some artificial intelligence models. …”
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Maternal Health-Related Quality of Life and Its Predicting Factors in the Postpartum Period in Iran by Nazanin Rezaei, Arman Azadi, Razieh Zargousi, Zinab Sadoughi, Zahra Tavalaee, Maryam Rezayati

“…In addition, it also sought to recognize the variables that predict their quality of life. Methods. This cross-sectional, descriptive study was undertaken among 380 women in 10 urban health centers in Ilam province in west of Iran. …”
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Total and High Molecular Weight Adiponectin Levels and Prediction of Cardiovascular Risk in Diabetic Patients by Dagmar Horáková, Kateřina Azeem, Radka Benešová, Dalibor Pastucha, Vladimír Horák, Lenka Dumbrovská, Arnošt Martínek, Dalibor Novotný, Zdeněk Švagera, Milada Hobzová, Dana Galuszková, Vladimír Janout, Sandra Doněvská, Jana Vrbková, Helena Kollárová

“…The study aimed at assessing the potential use of lower total and HMW adiponectin levels for predicting cardiovascular risk in patients with type 2 diabetes mellitus (T2DM). …”
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