Results 121 to 130 of about 90,983 (296)
Population Estimation Using Geographically Weighted Regression
GIScience & Remote Sensing, 2008 In view of the variability in the accuracy of the land use/cover data derived from satellite data, population estimation using a global ordinary linear regression (OLS) model cannot deal with the spatial non-stationarity problem. This research applied a local geographically weighted regression (GWR) model using four land use area variables (high ...
openaire +1 more source
Advanced Intelligent Systems, EarlyView.A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken +4 more
wiley +1 more source
Defining a geographically weighted regression model of urban evolution. Application to the city of Volos, Greece [PDF]
The main objective of this paper is the multivariate analysis of urban space and specifically with the use of data that refer to the level of city block.
Kerasia Milaka, Yorgos Photis
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Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis
Advanced Intelligent Systems, EarlyView.A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Estimation of Percentage on Malnutrition Occurrences in East Java Using Geographically Weighted Regression Model [PDF]
, 2015 The Province of East Java has its own characteristics that differentiate it from any other regions. Dissimilarities in characteristics of a region may encompass issues such as social, economic, cultural, parenting, education, and the environment, so as ...
Djuraidah, A. (Anik) +3 more
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American Journal of Agricultural Economics, EarlyView.Abstract Germany's Renewable Energy Sources Act (REA), enacted in 2000 and subsequently amended, subsidized national renewable energy production with fixed feed‐in tariffs for renewable energy sources (RE) from wind, solar, and biogas. Empirical studies suggest that the policy was creating windfall effects for landowners and attribute farmland use ...
Lars Isenhardt +6 more
wiley +1 more source
ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI JUMLAH KEJAHATAN PENCURIAN KENDARAAN BERMOTOR (CURANMOR) MENGGUNAKAN MODEL GEOGRAPHICALLY WEIGHTED POISSON REGRESSION (GWPR) [PDF]
, 2015 Theft is an act taking someone else’s property, partially or entierely, with intention to have it illegally. Motor vehicle theft is one of the most highlighted crime type and disturbing the communities.
HARIS, MUHAMMAD
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American Journal of Agricultural Economics, EarlyView.Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source
Geographical General Regression Neural Network (GGRNN) tool for geographically weighted regression analysis [PDF]
, 2016 This paper presents a new geographically weighted regression analysis tool, based upon a modified version of a General Regression Neural Network (GRNN). The new Geographic General Regression Neural Network (GGRNN) tool allows for local variations in the ...
Irfan, Muhammad +3 more
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