Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing by Hiba Najjar, Miro Miranda, Marlon Nuske, Ribana Roscher, Andreas Dengel

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Epistemic Uncertainties in Climate Predictions: A Challenge for Practical Decision Making by Rafaela Hillerbrand

“…Most scientists agree that, at least for the time being, unquantified uncertainties are inevitably connected to predictions of climate models. Uncertainties, however, do not justify political inaction. …”
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Random Forest–Based Coal Mine Roof Displacement Prediction and Application by Hongxia Li, Rong Wu, Jianan Gao

“…When RF model is applied to coal mine roadway, the average R2 is 0.92, and the relative error of prediction is 1.76%–9.11%, which indicates that RF model has greater accuracy and applicability in advance prediction of coal roadway roof displacement. …”
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Adaptive Transfer Learning Strategy for Predicting Battery Aging in Electric Vehicles by Daniela Galatro, Manav Shroff, Cristina H. Amon

“…This work presents an adaptive transfer learning approach for predicting the aging of lithium-ion batteries (LiBs) in electric vehicles using capacity fade as the metric for the battery state of health. …”
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A framework for the early detection and prediction of dengue outbreaks in the Republic of Panama by Grimaldo E. Ureña, Yamilka Diaz, Juan M. Pascale, Sandra López-Vergès, Javier E. Sanchez-Galan

“…This manuscript presents a transdisciplinary vision that encompasses aspects of sample management, vector surveillance, sharing of weather information, and georeferencing of cases in a Geographic Information System and defining data-driven software solutions for prediction of possible outbreaks.…”
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Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

“…The XGB algorithm can be an accurate algorithm to predict the ADG, FCR, and RFI values without measuring costly daily feed intake. …”
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Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks by Enming Dong, Jianping Li, Zheng Xie

“…Low rank matrices approximations have been used in link prediction for networks, which are usually global optimal methods and lack of using the local information. …”
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Semi-Empirical Predictions on the Structure and Properties of ent-Kaurenoic Acid and Derivatives by Jose Isagani B. Janairo, Gerardo C. Janairo, Derrick Ethelbhert C. YU

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Model predictive control for on–off charging of electrical vehicles in smart grids by Ye Shi, Hoang D. Tuan, Andrey V. Savkin, H. Vincent Poor

“…Its online implementation is based on a new model predictive control method that is free from prior assumptions about PEVs' arrival and charging information. …”
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An Application of the Coherent Noise Model for the Prediction of Aftershock Magnitude Time Series by Stavros-Richard G. Christopoulos, Nicholas V. Sarlis

“…Recently, the study of the coherent noise model has led to a simple (binary) prediction algorithm for the forthcoming earthquake magnitude in aftershock sequences. …”
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Detection and Predictive Analysis of Drowsiness Using Non-contact Doppler Sensor by Chung Kyo In, Byung Chan Min

“…Particularly, panel logistic regression analysis suggested its suitability as an indicator for predicting drowsiness states. In terms of predicting drowsiness stages and actual drowsiness states, it was observed that a time error of approximately 20-30 seconds exists. …”
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Burn Severity in Canada's Mountain National Parks: Patterns, Drivers, and Predictions by Weiwei Wang, Xianli Wang, Wanli Wu, Futao Guo, Jane Park, Guangyu Wang

“…Generally, local communities in the intensive fire management zone were predicted to have relatively low burn severity, reflecting the fire management effectiveness.…”
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Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

“…Abstract In the past, several methods have been developed for predicting antibacterial and antimicrobial peptides, but only limited attempts have been made to predict their minimum inhibitory concentration (MIC) values. …”
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The prediction of X2B6 monolayers with ultrahigh carrier mobility by Xiuzhi Du, Zhaoming Huang

“…In this investigation, a family of 2D material, X2B6 (X = K, Na and Rb), is predicted with puckered crystal structure by elemental mutation method. …”
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Predictive factors for the development of depression in children and adolescents: a clinical study by Hong Zhang, Peilin Yu, Xiaoming Liu, Xiaoming Liu, Ke Wang, Ke Wang, Ke Wang, Ke Wang

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Prediction of Heavy Metals Values for South-East of Baghdad Study Area by Eman Abdul Rahman, Muthaina Abdullah Mustafa

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Uncertainties in the finite-time Lyapunov exponent in an ocean ensemble prediction model by M. Matuszak, J. Röhrs, P. E. Isachsen, P. E. Isachsen, M. Idžanović

“…As the FTLE characterizes the flow, which may impact particle transport, we aim to investigate the uncertainty of FTLE fields at any given time using an ensemble prediction system (EPS) to propagate velocity field uncertainty into the FTLE analysis. …”
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A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations by Zhenghui Sha, Yun Huang, Jiawei Sophia Fu, Mingxian Wang, Yan Fu, Noshir Contractor, Wei Chen

“…Using buyer survey data from the China automarket in 2013 and 2014, we evaluate the goodness of fit and the predictive power of the two models. The results show that our model has a better fit and predictive accuracy than the dyadic network model. …”
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Sustainable Cold Chain Management: An Evaluation of Predictive Waste Management Models by Hajar Fatorachian, Kulwant Pawar

“…The integration of advanced predictive models is pivotal for optimizing demand forecasting and inventory management in cold chain logistics. …”
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Application and Comparative Study of Large Language Model in Early Prediction of Glaucoma by Xu Manyi

“…This paper aims to explore and compare the application effects of several advanced large language models in the early prediction of glaucoma. The study selected a variety of large language models, including Chat Generative Pre-trained transformer (ChatGPT), to build a glaucoma prediction model and analyze clinical data, genetic information, and lifestyle data of patients. …”
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