Harnessing pre-trained models for accurate prediction of protein-ligand binding affinity by Jiashan Li, Xinqi Gong

“…Results Our model demonstrates a significantly higher correlation coefficient in binding affinity predictions. …”
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A systematic review and meta-analysis of lung cancer risk prediction models by Ghida Khalife, Matilda Nilsson, Lotta Peltola, Juho Waris, Antti Jekunen, Riikka-Leena Leskelä, Heidi Andersén, Mikko Nuutinen, Eija Heikkilä, Susanna Nurmi-Rantala, Paulus Torkki

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The thermal conductivity characteristics and prediction models of limestone sand-yellow soil mixtures by Xiong Liu, Ruiyong Mao, Zujing Zhang, Hongwei Wu, Xing Liang, Jing Chen

“…A backpropagation neural network - based predictive model for thermal conductivity, developed from experimental data, achieved 6.4 % average absolute percentage error, indicating good accuracy.…”
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Prediction of Carbon Dioxide Concentrations in Strawberry Greenhouse by Using Time Series Models by Seung Hyun Shin, Nibas Chandra Deb, Elanchezhian Arulmozhi, Niraj Tamrakar, Oluwasegun Moses Ogundele, Junghoo Kook, Dae Hyun Kim, Hyeon Tae Kim

“…Therefore, the objectives of this study were to predict CO₂ concentrations in the greenhouse by applying time series models using five datasets. …”
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A Comparative Study of Machine Learning Models for Accurate E-Waste Prediction by Mohammed Algafri, Mohammed Sayad, Mohammad A.M. Abdel-Aal, Ahmed M. Attia

“…Future research should explore hybrid models and real-time forecasting to enhance predictive accuracy and sustainability.…”
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Optimizing Energy Forecasting Using ANN and RF Models for HVAC and Heating Predictions by Khaled M. Salem, Javier M. Rey-Hernández, A. O. Elgharib, Francisco J. Rey-Martínez

“…The performances of the two models are described in detail to show the effectiveness of each of them.…”
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Methods and Evaluation of AI-Based Meteorological Models for Zenith Tropospheric Delay Prediction by Si Xiong, Jiamu Mei, Xinchuang Xu, Ziyu Shen, Liangke Huang

“…Additionally, seasonal variations and station altitude were found to influence the accuracy of ZTD predictions, emphasizing the need for detailed modeling in complex climatic zones.…”
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Development and validation of prediction models for diabetic retinopathy in type 2 diabetes patients by Shadi Naderyan Feˈli, Mohammad Hassan Emamian, Mehdi Yaseri, Hamid Riazi-Esfahani, Hassan Hashemi, Akbar Fotouhi, Kamran Yazdani

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Stock Predictions Based on Time Series Models - The Case of Pepsi Research Background by Liu Leyi, Wang Wenhao, Zhao Yijing

“…A statistical model widely used in time series analysis and prediction is Auto Regressive Integrated Moving Average (ARIMA) model. …”
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Time series models for prediction of leptospirosis in different climate zones in Sri Lanka. by Janith Warnasekara, Suneth Agampodi, Rupika Abeynayake

“…These predictive models could be effectively used in public health planning purposes.…”
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Comparative Analysis of Diabetes Prediction Models Using the Pima Indian Diabetes Database by Zhao Yize

“…This study provides an in-depth review and comparison of diabetes prediction models using the Pima Indian Diabetes database. …”
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Comparative Analysis of Machine Learning Models for CO Emission Prediction in Engine Performance by Beytullah Eren, İdris Cesur

“…This study presents a comparative analysis of machine learning models for predicting carbon monoxide (CO) emissions in automotive engines. …”
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Comparison of Weight-Gain-Based Prediction Models for Retinopathy of Prematurity in an Australian Population by Alexander Bremner, Li Yen Chan, Courtney Jones, Shaheen P. Shah

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Reservoir type classification and water yield prediction based on petrophysical conversion models by Jiejun Zhu, Jiejun Zhu, Jiejun Zhu, Jian Peng, Jian Peng, Jian Peng, Zhibin Lv, Zhibin Lv, Zhibin Lv, Shuangquan Chen

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Influential factors related to feeding disorders in preterm infants and the construction of predictive models by Lishan Chen, Lishan Chen, Huichang Zhou, Zhiming Tang, Haiyin Deng, Zhihao Li

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Integrating Bayesian and neural networks models for eye movement prediction in hybrid search by Gonzalo Ruarte, Gaston Bujia, Damián Care, Matias Julian Ison, Juan Esteban Kamienkowski

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Improving Streamflow Prediction Using Multiple Hydrological Models and Machine Learning Methods by Hiren Solanki, Urmin Vegad, Anuj Kushwaha, Vimal Mishra

“…Abstract Streamflow prediction is crucial for flood monitoring and early warning, which often hampered by bias and uncertainties arising from nonlinear processes, model parameterization, and errors in meteorological forecast. …”
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Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment by Congtan Liu, Haoming Fan, Yixuan Wang

“…This study aims to identify the optimal feature datasets and to quantify the uncertainty associated with gully erosion prediction models by developing a novel methodological framework based on ensembles of the three machine learning models: Random Forest (RF), Convolutional Neural Network (CNN), and Transformer models. …”
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Interpretable machine learning models for prolonged Emergency Department wait time prediction by Hao Wang, Nethra Sambamoorthi, Devin Sandlin, Usha Sambamoorthi

“…Our aim is to perform a comprehensive analysis of ML models for ED wait time prediction, identify key feature importance and associations with prolonged wait times, and interpret prediction model clinical relevance among ED patients. …”
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Machine Learning Traffic Flow Prediction Models for Smart and Sustainable Traffic Management by Rusul Abduljabbar, Hussein Dia, Sohani Liyanage

“…Specifically, this paper evaluates the impact of multisource sensor inputs and spatial detector interactions on machine learning-based traffic flow prediction. Using a dataset of 839,377 observations from 14 detector stations along Melbourne’s Eastern Freeway, Bidirectional Long Short-Term Memory (BiLSTM) models were developed to assess predictive accuracy under different input configurations. …”
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