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35 articles for “spatial modeling”
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Research ArticleOpen accessIn the abstractRecognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning ModelMeryem Cherrate, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah AarabRecognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we introduce a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for extracting spatial characteristics with Long Short-Term Memory (LSTM) networks for capturing temporal sequences. The model was trained … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,048 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,536 accessesView PDFCite
Research ArticleOpen accessIn the abstractComplexity and the Ecological Impacts of Tourism on Wetlands Ecosystem and Rural Sustainability: A Case Study of Zrebar WetlandsSima Saadi, Hosein Karimzadeh, Akbar RahimiDue to its natural and ecological qualities, rural tourism has drawn greater attention in recent decades. The development of rural tourism provides a variety of advantages that influence the environment and local resources. Therefore, this study looks at how tourism affects the sustainability of the Zrebar wetland, an urban-rural area in the west of Iran, and the wetland ecosystem. In … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 14 Jun 2023 · 7,105 accessesView PDFCite
Research ArticleOpen accessIn the abstractStructural Analysis of Spatial MechanismsFlorian Ion Tiberiu PetrescuThe paper briefly presents how structural analysis is performed on spatial mechanisms, presenting a practical application in the mechatronics of parallel robots, especially in Steward platforms. Structural analysis always helps to better understand the phenomena and especially the way the mechanisms are made. At spatial mechanisms the problems are a little more complex than those raised by plane mechanisms. For … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 26 May 2018 · 7,971 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiresolution Laplacian Sparse Coding Technique for Image ClassificationIntidhar Jemel, Ridha Ejbali, Mourad ZaiedSparse coding is a set of techniques used for learning a collection of over-complete bases to represent data efficiently. This technique has been used in different domain such as feature quantization and image classification. Despite its capacity of modeling, it could not represent similarity of the image coding which cause a poor performance in locality. The cause of this limitation … …Journal of Computer Science, Vol. 14, Issue 8 · 23 May 2018 · 7,920 accessesView PDFCite
Research ArticleOpen accessIn the abstractPetrophysical Properties Distribution Modelling of an Onshore Field, Niger Delta, NigeriaGodwin Omokenu EmujakporueThis research is based on the modelling of petrophysical parameters distribution of an onshore oil field in Niger Delta. The methodology involves the construction of 3-D grids that represent the reservoir geometry, accompany by property modeling where the 3-D grids were populated with petrophysical properties (porosity, water saturation, net to gross ratio, facies and permeability). The objective is to construct … …Current Research in Geoscience, Vol. 7, Issue 1 · 3 Apr 2017 · 14,182 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploratory Analysis of Rainfall Occurrence in South Sulawesi Region Using Spatial Point ProcessNurtiti Sunusi, Erna Tri Herdiani, Fachrul Nawawi, GiarnoThis paper study the probability of rainfall occurrence in round year in different segment in South Sulawesi region. In this research, rainfall occurrence in round year described by one line which has divided into 12 months. Each one of those months is assumed that the probability of a rainfall follow a homogeneous Poisson distribution. To modeling the rainfall occurrence in … …Journal of Mathematics and Statistics, Vol. 11, Issue 4 · 15 Feb 2016 · 7,450 accessesView PDFCite
Research ArticleOpen accessIn the abstractZero Inflated Poisson and Geographically Weighted Zero- Inflated Poisson Regression Model: Application to Elephantiasis (Filariasis) Counts DataPurhadi, Yuliani Setia Dewi, Luthfatul AmalianaPoisson regression has been widely used for modeling counts data. Violation of equidispersion assumption can occur when there are excess of zeros of the data. For that condition we can use Zero-Inflated Poisson (ZIP) to analyze such data, resulting global parameter estimates. However spatial data from various locations have their own characteristics depend on their socio-cultural, geographical and economic conditions. … …Journal of Mathematics and Statistics, Vol. 11, Issue 2 · 29 Sep 2015 · 8,324 accessesView PDFCite
Research ArticleOpen accessIn the abstractHydrologic Modeling to Evaluate the Impact of Hydraulic Fracturing on Stream Low Flows: Challenges and Opportunities for a Simulation StudySuresh Sharma, Aashish Shrestha, Colleen E. McLean, Scott C. MartinHydraulic fracturing (fracking) has been increasing in the eastern part of Ohio for the last few years leading to the increased stress on water resources, particularly on the hydrological low flows. Yet, evaluation of the various impacts of fracking on stream low flows using appropriate tools is still a challenging issue, even though significant progress has been achieved in recent … …American Journal of Environmental Sciences, Vol. 11, Issue 4 · 7 Aug 2015 · 10,414 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of the Cenozoic Erosion Amount Using Monte Carlo Type-Petroleum Systems Modeling of the Hammerfest Basin, Western Barents SeaKrzysztof Jan Zieba, Matthias Daszinnies, Benjamin Emmel et al.The Cenozoic uplift and erosion is often believed to be a major risk factor in hydrocarbon exploration in the Barents Sea causing petroleum redistribution and leakage from filled traps. Therefore, the estimation of erosion amount is an important but often underrepresented task in the basin modeling procedure. The assessment of erosion magnitudes and spatial distribution by geochemical and thermo chronological … …Current Research in Geoscience, Vol. 4, Issue 2 · 29 Apr 2015 · 8,318 accessesView PDFCite