An Assessment of Hermite Function Based Approximations of Mutual Information Applied to Independent Component Analysis by Julian Sorensen

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Particle filtering supported probability density estimation of mobility patterns by András Darányi, Tamás Ruppert, János Abonyi

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Deep Neural Networks and Kernel Density Estimation for Detecting Human Activity Patterns from Geo-Tagged Images: A Case Study of Birdwatching on Flickr by Caglar Koylu, Chang Zhao, Wei Shao

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Comparing Luojia 1-01 and VIIRS Nighttime Light Data in Detecting Urban Spatial Structure Using a Threshold-Based Kernel Density Estimation by Yuping Wang, Zehao Shen

Subjects: “…kernel density estimation…”
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Presenting air quality status through hot spot maps realized by using Kernel Density Estimation (KDE) - case study: Craiova, 2020/2021 by Moldovan Clementina, Sbirna Sebastian, Sbirna Liana-Simona

“…The study has been realized by using a modern technique for generating hot spot maps on grids, as smooth continuous surfaces, which is Kernel Density Estimation (KDE).…”
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Day-Ahead Electricity Market Price Forecasting Considering the Components of the Electricity Market Price; Using Demand Decomposition, Fuel Cost, and the Kernel Density Estimation by Arim Jin, Dahan Lee, Jong-Bae Park, Jae Hyung Roh

“…The first technique applies feature generation to the label and forecasts the transformed new variables, which are then post-processed by inverse transformation, considering the characteristic of the fuel types of marginal generators or prices through two variables: fuel cost per unit by the representative fuel type and argument of the maximum of Probability Density Function (PDF) calculated by Kernel Density Estimation (KDE) from the previous price. The second technique applies decomposition to the demand, followed by a feature selection process to apply the major decomposed feature. …”
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Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China by Wenzhong Shi, Chengzhuo Tong, Anshu Zhang, Bin Wang, Zhicheng Shi, Yepeng Yao, Peng Jia

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Detecting and Visualizing Observation Hot-Spots in Massive Volunteer-Contributed Geographic Data across Spatial Scales Using GPU-Accelerated Kernel Density Estimation by Guiming Zhang

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A Novel Daily Runoff Probability Density Prediction Model Based on Simplified Minimal Gated Memory–Non-Crossing Quantile Regression and Kernel Density Estimation by Huaiyuan Liu, Sipeng Zhu, Li Mo

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Fine Scale Modeling for Potential Distribution of Dengue Fever in Tampan District, Indonesia by Eggy Arya Giofandi, Dhanu Sekarjati, Cipta Estri Sekarrini, Yuska Nelva Sari

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In support of sustainable densification in urban planning: a proposed framework for utilising CCTV for propagation of human energy from movement within urban spaces by Emil Jonescu, Titus Mercea, Khoa Do, Monty Sutrisna

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Exploring the Spatial Heterogeneity and Driving Factors of UAV Logistics Network: Case Study of Hangzhou, China by Hongbo He, Huping Ye, Chenchen Xu, Xiaohan Liao

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Learning from Accidents: Spatial Intelligence Applied to Road Accidents with Insights from a Case Study in Setúbal District, Portugal by Pedro Nogueira, Marcelo Silva, Paulo Infante, Vitor Nogueira, Paulo Manuel, Anabela Afonso, Gonçalo Jacinto, Leonor Rego, Paulo Quaresma, José Saias, Daniel Santos, Patricia Gois

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A Kernel-Based Calculation of Information on a Metric Space by Conor J. Houghton, R. Joshua Tobin

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Definition of Local Recurrence Site in Resected Pancreatic Adenocarcinoma: A Multicenter Study (DOLORES-1) by Alessandra Arcelli, Federica Bertini, Silvia Strolin, Gabriella Macchia, Francesco Deodato, Savino Cilla, Salvatore Parisi, Aldo Sainato, Michele Fiore, Pietro Gabriele, Domenico Genovesi, Francesco Cellini, Alessandra Guido, Silvia Cammelli, Milly Buwenge, Emiliano Loi, Silvia Bisello, Matteo Renzulli, Rita Golfieri, Alessio G. Morganti, Lidia Strigari

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Interactive display of surnames distributions in historic and contemporary Great Britain by Justin van Dijk, Paul A. Longley

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Optimal Design of Validation Experiment for Material Deterioration by Xiangrong Song, Dongyang Sun, Xuefeng Liang

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The Use of Kernel Density Estimation With a Bio-Physical Model Provides a Method to Quantify Connectivity Among Salmon Farms: Spatial Planning and Management With Epidemiological Relevance by Danielle L. Cantrell, Erin E. Rees, Erin E. Rees, Raphael Vanderstichel, Jon Grant, Ramón Filgueira, Crawford W. Revie

“…Here we propose a method that makes use of kernel density estimation (KDE) on the output of a particle-tracking model, to quantify the infection or infestation pressure (IP) that each node causes on the surrounding area. …”
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Environmental factors shaping copepod distributions in cave waters of the Lessinian unsaturated karst (NE-Italy) by Ilaria Vaccarelli, Ilaria Vaccarelli, Francesco Cerasoli, Stefano Mammola, Stefano Mammola, Stefano Mammola, Barbara Fiasca, Mattia Di Cicco, Tiziana Di Lorenzo, Tiziana Di Lorenzo, Fabio Stoch, Diana Maria Paola Galassi

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Information Entropy Suggests Stronger Nonlinear Associations between Hydro-Meteorological Variables and ENSO by Tue M. Vu, Ashok K. Mishra, Goutam Konapala

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