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158 results for “spatial data”
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Research ArticleOpen accessIn the keywordsGeographical Information System Techniques for Evaluation of Groundwater QualityShahram Ashraf, Hossein Afshari, Abdol Ghaffar EbadiProblem Statement: The present paper tries to assess groundwater suitability for irrigation purpose in Damghan plain (5400 ha). Approach: Twenty four water samples were collected from the active wells. Parameters such as Electrical Conductivity (EC), pH, Total Dissolved Solids (TDS), were recorded in the field and major anions and cations (Ca2+, Mg2+, K+, Na+, CO32-, HCO3-, Cl-, SO42- and NO3-) … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 2 · 24 Jun 2011 · 8,123 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCreating a GIS Application for Retail Facilities Planning in Jeddah CityAbdulkader A. MuradProblem statement: The aim of this study is to create a GIS application for retail facilities planning in Saudi Arabia. Jeddah city has been selected as a case study representing a major commercial city in Saudi Arabia. Approach: The crated application covers several retail planning analysis issues. These issues are divided in to two major groups called the city scale … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 6,974 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCreating a Geographical Information Systems-based Spatial Profile for Exploring Health Services Supply and DemandAbdulkader A. MuradProblem statement: GIS has several techniques and functions that can be used for health services planning. Each one of these functions can be applied for different health related issues. Approach: The first part of this study reviews the relevant GIS functions that are used by health care planning researches and identifies the advantages of using these functions. The second part … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 13 Jun 2011 · 6,872 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMathematical Genesis of the Spatio-Temporal Covariance FunctionsGema Fernández-Avilés, Jose-María Montero, Jorge MateuProblem statement: Obtaining new and flexible classes of nonseparable spatio-temporal covariances have resulted in a key point of research in the last years within the context of spatiotemporal Geostatistics. Approach: In general, the literature has focused on the problem of full symmetry and the problem of anisotropy has been overcome. Results: By exploring mathematical properties of positive definite functions and … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 31 Jan 2011 · 7,938 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPetri Net Based Spatio-temporal Relationships for Moving ObjectsYong-shan Liu, Zhong-xiao HaoThis study presents the spatio-temporal constraint relationships of moving objects by employing Petri Net technology. The spatial constraints of moving objects are first presented in this study based on the V4I[1] theory, then the temporal constraints for moving objects are presented by applying this theory to temporal aspect. With the proposing of Moving Object Petri Net (MOPN) and Spatial Constraint … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 6,235 accessesView PDFCite
Research ArticleOpen accessIn the keywordsClassifying Single Trail Electroencephalogram Using Gaussian Smoothened Fast Hartley Transform for Brain Computer Interface during Motor ImageryV. B. Deepa, P. Thangaraj, S. ChitraProblem statement: Brain-Computer Interface (BCI) is a emerging research area which translates the brain signals for any motor related actions into computer understandable signals by capturing the signal, processing the signal and classifying the motor imagery. This area of work finds various applications in neuroprosthetics. Mental activity leads to changes of electrophysiological signals like the Electroencephalogram (EEG) or Electrocorticogram (ECoG). … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,658 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIntelligent Sensor for Image Control Point of Eigenfaces for Face RecognitionMohamed Lamine Toure, Zou BeijiProblem statement: The sensor for image control point in Face Recognition (FR) is one of the most active research areas in computer vision and pattern recognition. Its practical application includes forensic identification, access control and human computer interface. The task of a FR system is to compare an input face image against a database containing a set of face samples … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,974 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the abstractTAGN-IDC: Implicit Discrete Constraints for Tsunami Aware Graph Neural Networks in Spatial Evacuation RoutingSularno, Wendi Boy, Putri Anggraini et al.Tsunami evacuation route requires rapid identification of safe evacuation paths under dynamically changing hazard conditions. A major challenge is incorporating hard binary road-blockage constraints caused by tsunami inundation while maintaining end-to-end differentiability for deep learning models. Existing approaches commonly rely on continuous relaxations or stochastic sampling techniques, which either compromise physical feasibility or increase computational complexity. This study proposes the … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 704 accessesView PDFCite
Research ArticleOpen accessIn the abstractChronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning FrameworkGarima Jain, Amit Kumar Goel, Rahul KumarAccurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic algorithms based on current data sets are restricted to using older databases and single branch systems. This research introduces a new solution: A hybrid deep learning model applied to a recently released quantitative database of CT scans … …Journal of Computer Science, Vol. 22, Issue 8 · 9 Sep 2026 · 651 accessesView PDFCite