Development of Production-Forecasting Model Based on the Characteristics of Production Decline Analysis Using the Reservoir and Hydraulic Fracture Parameters in Montney Shale Gas R... by Hyeonsu Shin, Viet Nguyen-Le, Min Kim, Hyundon Shin, Edward Little

“…This study developed a production-forecasting model to replace the numerical simulation and the decline curve analysis using reservoir and hydraulic fracture data in Montney shale gas reservoir, Canada. …”
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Flood Depth Estimation in Agricultural Lands From L and C-Band Synthetic Aperture Radar Images and Digital Elevation Model by Samvedya Surampudi, Vijay Kumar

“…However, detecting flood depth in emerging vegetation poses a complex challenge in terms of boundary estimation due to composite signatures that are manifested on SAR data. In this paper, a new approach is proposed to extract flood boundaries by fusing SAR data of two different frequencies, which are sensitive to water level changes. …”
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Machine learning-based energy consumption models for rural housing envelope retrofits incorporating uncertainty: A case study in Jiaxian, China by Taoyuan Zhang, Zao Li, Zihuan Zhang, Yulu Chen, Xia Sun

“…Results indicate that a more uniform residual distribution within the 95 % interval balances data volume and prediction accuracy, reducing error variability and improving model performance. …”
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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing by Akwasi Tagoe, Alexander Silva, Cengiz Koparan, Aurelie Poncet, Dongyi Wang, Donald Johnson, Margaret Worthington

“…Efficiently managing agricultural systems necessitates accurate data collection from crops to examine phenotypic characteristics and improve productivity. …”
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Mean limiting pressure factors determination in contiguous pile walls using RAFELA and nonlinear regression models in spatially random soil by Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, Suraparb Keawsawasvong

“…Two nonlinear regression models, multivariate adaptive regression splines (MARS) and the group method of data handling (GMDH), are developed to forecast the mean limiting pressure factor. …”
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Improved LSTM hyperparameters alongside sentiment walk-forward validation for time series prediction by Eko Putra Wahyuddin, Rezzy Eko Caraka, Robert Kurniawan, Wahyu Caesarendra, Prana Ugiana Gio, Bens Pardamean

“…This study aims to address the common issue of biased estimation errors in time series modeling by analyzing the error in locating ideal hyperparameters and defining appropriate validation methods. …”
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Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analyses by Md. Alhaz Uddin, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, Md. Kanan Chowdhury Tilak, Ratan Lal, Md. Selim Reza, Fahad Alsharari, Mohamed AbdelMongy, Masuk Abdullah

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Evapotranspiration Estimation with the Budyko Framework for Canadian Watersheds by Zehao Yan, Zhong Li, Brian Baetz

“…Results show that the developed Budyko models performed well, with the best model achieving a Nash-Sutcliffe Efficiency (NSE) value of 0.74 and a Root Mean Square Error (RMSE) value of 55.5 mm/year. The attribution analysis reveals that climate factors have a greater influence on <i>AET</i> changes compared to vegetation factors. …”
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Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper by Kiranmayee Janardhan, Vinay Martin D’Sa Prabhu, T. Christy Bobby

“…Accurate segmentation ensures proper identification of the glioma’s size and position, transforming images into applicable data for analysis. Classification of brain gliomas is also essential because different types require different treatment approaches. …”
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Prediction and validation of mechanical properties of self-compacting geopolymer concrete using combined machine learning methods a comparative and suitability assessment of the be... by Kennedy C. Onyelowe, Ahmed M. Ebid, Paul Awoyera, Viroon Kamchoom, Evelin Rosero, María Albuja, Carlos Mancheno

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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning [version 1; peer review: awaiting peer review] by David Garrett Brown, Darwin J. Operario, Lan Wang, Shanrui Wu, Daniel T. Leung, Eric R. Houpt, James A. Platts-Mills, Jie Liu, Ben J. Brintz

“…However, the manual post-run analysis of TAC data is time consuming and subject to interpretation. …”
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Did Socioeconomic Inequality in Self-Reported Health in Chile Fall after the Equity-Based Healthcare Reform of 2005? A Concentration Index Decomposition Analysis. by Baltica Cabieses, Richard Cookson, Manuel Espinoza, Gillian Santorelli, Iris Delgado

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Inversion and analysis of leaf area index (LAI) of urban park based on unmanned aerial vehicle (UAV) multispectral remote sensing and random forest (RF). by Yan Li, Bocheng Wang, Xuefei Zhao, Yichuan Zhang, Lifang Qiao

“…Combined with ground-measured vegetation LAI data, this study applies RF to estimate the park LAI. …”
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Modeling of Characteristics of Complex Microstructure and Heterogeneity at the Core Scale by Yiwei Chen, Pingchuan Dong

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Characterizing wind, wave, and Stokes drift interactions in the upper ocean during Typhoon Doksuri using the COAWST model by Yaoyao Han, Changsheng Zuo, Zhizu Wang, Yucui Wang, Chengchen Tao, Xu Zhang, Juncheng Zuo

“…The COAWST model provides a more accurate simulation of typhoon wind speeds compared to ERA5 reanalysis data and the WRF model, and it offers a more precise representation of significant wave heights (Hs) than ERA5 reanalysis data and the SWAN model. …”
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Demonstrative Consumption and Developmental Components: The Analysis of the Effect of Demonstrative Consumption on Development-Oriented Components Among Citizens With Higher Educat... by Fatemeh Bayat, Shapour Behyan, asghar mohammadi

“…The research tool is a questionnaire (Cronbach's alpha> 0.80). Data were analyzed in SPSS and PLS statistical software at the significance level of P <0.05 and error of 0.95. …”
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A mathematical model of malaria transmission in conflict-affected regions and the implications on malaria interventions by Mohamed Salah Alhaj, Farai Nyabadza

“…Additionally, we fit the model to World Health Organisation (WHO) data from three malaria-endemic countries, and we found a Root Mean Square Error between the data and model outcome with values 0.0015 for Nigeria, 0.0055 for Sudan, and 0.0016 for DRC. …”
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Predicting the value of the rock quality index in the Q-system using gene expression programming by M. H. Taban, M. Hajiazizi, R. Ghobadian

“…A total number of 159 experimental data were used for training and testing of the models, respectively. …”
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Is the risk of HIV acquisition increased during and immediately after pregnancy? A secondary analysis of pooled HIV community-based studies from the ALPHA network. by Milly Marston, Marie Louise Newell, Amelia Crampin, Tom Lutalo, Richard Musoke, Simon Gregson, Constance Nyamukapa, Jessica Nakiyingi-Miiro, Mark Urassa, Raphael Isingo, Basia Zaba

“…Results were combined using Rubin's rules to give appropriate error bounds. The analysis was stratified into two periods: pre- and post- widespread availability of prevention of mother-to-child HIV transmission services. …”
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Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions by Eva Dorschky, Marlies Nitschke, Matthias Mayer, Ive Weygers, Heiko Gassner, Heiko Gassner, Thomas Seel, Bjoern M. Eskofier, Bjoern M. Eskofier, Anne D. Koelewijn, Anne D. Koelewijn

“…Such a sparse sensor setup enables comprehensive movement analysis outside the laboratory, by increasing usability of inertial sensors.…”
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