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Limits of Solar Flare Forecasting Models and New Deep Learning Approach
Published 2025-01-01“…This study introduces a novel deep learning forecasting approach while emphasizing the need for performance evaluation methods tailored to better highlight current models’ limitations. …”
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102
Forecast Padding Enhances Accuracy and Robustness of EEG-Phase-Synchronized TMS
Published 2025-01-01“…Inspired by predictive coding theory in neuroscience, we propose a novel signal padding method (forecast padding) to mitigate the filter edge effect. …”
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103
Forecasting Urban Sprawl Dynamics in Islamabad: A Neural Network Approach
Published 2025-01-01“…Landsat imagery is categorized into four thematic classes using a supervised classification method called the support vector machine (SVM): built-up, bareland, vegetation, and water. …”
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104
Optimizing maize germination forecasts with random forest and data fusion techniques
Published 2024-11-01Get full text
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105
Frost forecasting via weakly-supervised semantic segmentation of satellite imagery
Published 2025-12-01“…We demonstrate the effectiveness of the proposed method for frost forecasting with varying lead times across the South Korean region using Geo-KOMPSAT-2A satellite data.…”
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106
Assessment of the possibility of forecasting hydrometeorological extremes using the solar activity index
Published 2023-03-01“…The method can be used for specifying longterm hydrometeorological and ecological forecasts. …”
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107
Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots
Published 2020-01-01“…However, most taxi demand studies are based on historical taxi trajectory data. In this study, we detected hotspots and proposed three methods to predict the taxi demand in hotspots. …”
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The GRAZ Method—Determination of Urban Surface Temperatures from Aerial Thermography Based on a Three-Dimensional Sampling Algorithm
Published 2024-10-01“…The atmospheric profiles are generated specifically for the time of the survey based on measurements, meteorological forecasts and generic models. The method was initially developed for application in urban contexts, as it is able to capture the pronounced three-dimensional character of such environments. …”
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110
Lightning Prediction in the Tehran Region Using the WRF Model With Multiple Physical Parameterizations and an Ensemble Approach
Published 2025-06-01“…Based on these findings, we recommend the ensemble method as the most reliable approach for more accurate lightning simulations in future studies.…”
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Autoregressive Neural Network for Cloud Concentration Forecast from Hemispheric Sky Images
Published 2019-01-01“…Secondly, a new image-processing algorithm is suggested to optimize the cloud detection process starting with the Haze Index. Finally, the cloud concentration five minutes in advance at the IMUK is forecasted using machine learning methods. …”
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113
Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants
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114
Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling
Published 2016-01-01“…The results of the study indicate the suitability of the method for vibration forecasting in complex electromechanical systems and their associated kinematic chains.…”
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115
Addressing the training gaps for ASD specialists in Kazakhstan: A forecast-based approach
Published 2025-07-01“…Additionally, mathematical modeling and forecasting methods were employed to predict the increase in the number of children with ASD, facilitating the development of targeted educational programs for training specialists at undergraduate and graduate levels and improving the qualifications of practicing professionals. …”
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116
An explainable Machine Learning model for Large-Scale Travelling Ionospheric Disturbances forecasting
Published 2025-01-01“…The validation procedure consists of a global-level evaluation and interpretation step, firstly, followed by an event-level validation against independent detection methods, which highlights the model’s predictive robustness and suggests its potential for real-time space weather forecasting. …”
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117
Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles.
Published 2021-03-01“…Moreover, the transition from theoretical to operational systems integrated with disease control activities is rare.<h4>Methods and findings</h4>We introduce an operational seasonal dengue forecasting system for Vietnam where Earth observations, seasonal climate forecasts, and lagged dengue cases are used to drive a superensemble of probabilistic dengue models to predict dengue risk up to 6 months ahead. …”
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118
Forecasting the number of identified information security vulnerabilities based on the theory of “Gray Systems”
Published 2023-10-01“…The results of the study indicate the possibility of applying the theory of “gray systems” for short-term forecasting of the number of detected vulnerabilities. …”
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119
Empirical prediction intervals applied to short term mortality forecasts and excess deaths
Published 2024-12-01“…Methods Using weekly death data from the Short-term Mortality Database (STMF) for 23 countries, we propose empirical prediction intervals based on the distribution of past out-of-sample forecasting errors for the study of weekly expected and excess deaths. …”
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