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221 articles for “spatial data”
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Flood Risk Assessment and Disaster Management through Data Applications and Engineering Interventions
Abstract: Flooding is the most extreme and well-known destructive tournament and has serious implications for sustainable development. The vast majority of disasters in Africa are caused by floods, which are also the most frequent and widespread calamities. This paper x-rays alternative approaches to catastrophe management and flood risk assessment. Various methodologies, literature reviews and advanced techniques such as remote sensing, indicator-based methods, computer-based methods and utilization of geographic information systems (GIS) …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 2, 2022 · pp. 39–48 Read article
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Flood Vulnerability Assessment Using Participatory GIS Approach
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Flood is a most frequent and risky hazard as well as a disaster in the world. In the present study, Participatory GIS (PGIS) approach has been used to assess flood vulnerability and risk. The application of Participatory GIS is common and effective where local people have the ability to accumulate knowledge and experiences. The PGIS integrates qualitative information (mental maps, public …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 1, 2011 · pp. 8–22 Read article
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Power of Optical Sensors in Remote Sensing: A Study
Abstract: Imagine having eyes that could pierce the veil of the visible, discerning the subtle whispers of light beyond the spectrum our everyday vision allows. This isn't a superpower from science fiction, but the very essence of optical sensors in remote sensing – our planet's watchful, silent sentinels, meticulously translating the electromagnetic symphony into actionable insights. Optical sensors, operating within the visible, near-infrared, and short-wave infrared portions of the electromagnetic spectrum, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 29–36 Read article
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Spatio-Temporal Analyses for Ahad Watershed Management in Rajasthan State, India: Applications of Geoinformatics
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Ahad watershed, covering Udaipur, of Rajasthan divides the drainage systems of the Bay of Bengal and the Arabian Sea. City Udaipur has remained in focus due to its strategic location, natural beauty, history for valor and chivalry; and hence a worldwide tourist hub. But due to population sprawl, industrialization, influx of tourists, mining etc.; the area is reeling under environmental stress. …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 1, 2011 · pp. 34–40 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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Machine Learning Approach to Detect and Analyze Attention-Deficit/Hyperactivity Disorder
Abstract: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by difficulties with attention, impulse control, behavioral regulation, and daily functioning that persist across childhood and adulthood. Clinical diagnosis is predominantly based on behavioral assessments and expert interpretation, which may result in subjectivity and delayed clinical decisions. To reduce reliance on subjective evaluation, this study introduces an automated ADHD identification framework that integrates resting-state functional Magnetic Resonance Imaging (rs-fMRI) with advanced machine …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 22–26 Read article
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Improvement of a Geospatial Web-Network for Road Substructure Management in Mekelle City, Ethiopia
Abstract: Infrastructure is a framework which covers the basic facilities and capacities of material, institutional and personnel kind which are essential for the functioning of a national economy. Road is key infrastructure which leads to an overall better standard of living; it is currently the heart of regional connectivity of a continent. Road substructure management is a challenging task to many developing countries, due to limited technical resources. This is a …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 3, 2016 · pp. 35–46 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
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Zoom Based Image Super-Resolution: Using Two Level DWT as Feature Model
Abstract: AbstractIn this paper we present an algorithm of super-resolution (SR) imaging to reconstruct high-resolution (HR) image from sequence of low-resolution (LR) images of static scene captured at the different camera zoom factor. The resultant HR image is constructed at the resolution of the most zoomed LR image. In the proposed approach algorithm uses LR images of the static scene captured at three distinct zoom-factors. Learning based SR technique is used …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 95–105 Read article
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The Impact of Using High-Resolution Satellite Images on Improving Geographic Maps
Abstract: By integrating high-resolution satellite images into pre-existing mapping frameworks, this study tackles the problem of guaranteeing correctness and dependability in geospatial data updates. The main goal is to assess which satellite imagery sources—SuperView, Ikonos, QuickBird, and WorldView—are appropriate for updating maps at 1:2500 and 1:5000 scales. The process entails evaluating radiometric quality, geometric dependability, spatial correctness, and picture resolution and comparing the results to the specifications of different mapping tasks. …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 36–44 Read article
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Spatial and Temporal Epidemiological Analysis of Livestock Diseases in Maharashtra State
Abstract: AbstractIn the present study, spatio-temporal analysis of livestock diseases in Maharashtra was undertaken. Time series data (2005–2016) on outbreaks, diagnosed cases, death cases, districts were collected and analyzed for epidemiological parameters likes cumulative outbreaks, diagnosed cases, death cases, spatial distribution, prevalence rate, mortality rate and case fatality rates. Cumulative outbreaks during the period was highest for Black Quarter (BQ) (203) followed by Haemorrhagic Septicemia (HS) (176), Pesti des petits ruminants …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 7, Issue 1, 2018 · pp. 16–23 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Assessment of Temporal Features for Geographical Localisation of Satellite Images
Abstract: AbstractMost of the geographical applications are dependent upon the frequent interpretation or analysis of satellite images captured at periodical manner. Consequently the observation is mainly due to the environmental or human based comprehensive changes in spatio-temporal information, which affect the overall process. Thus the past and present data are main sources in the various predictive investigations in remote sensing. While inherent spatial and spectral information are exploited severely, it is …
Published in Research & Reviews : Journal of Ecology · Vol. 5, Issue 1, 2016 · pp. 16–26 Read article
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Video Watermark for Text Data Using QR Code
Abstract: In the current era, data security is most important and so is copyright protection. By using this project, the user can secure his data, logo etc. We are incorporating a digital video watermark into QR Codes for text data. This technique is used for data hiding into video. This technique can be classified as either spatial or frequency domain. Some video watermarking issues are addressed in video watermarking. This project …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 1, 2022 · pp. 28–34 Read article
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Advancing EEG Technology for Affordable and Effective Epilepsy Detection
Abstract: For a proper diagnosis and prompt treatment, epilepsy, a neurological condition marked by recurring seizures, needs to be continuously monitored. Manual interpretation is frequently used in traditional approaches for identifying epileptic seizures from electroencephalogram (EEG) signals, which can be laborious and error-prone. In this research, a novel method for automatically detecting epilepsy from EEG data using deep learning algorithms is presented. According to centers for disease control and prevention (CDC) …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
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Two-Dimensional Flood Modelling of Majuli Island, Assam (India) using MIKE FLOOD Model
Abstract: Flood hazard mapping, which uses model and satellite remote sensing data, is extremely useful for flood monitoring and risk management. The flood inundation extent and flooding depth on Majuli Island and its surrounding area in Assam, India, were simulated using MIKE FLOOD, a coupled 1D-2D hydrodynamic model. MIKE FLOOD is a platform that integrates the MIKE Hydro River (1D) and MIKE 21 FM (2D) models into a dynamically coupled single …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 1, 2023 · pp. 1–19 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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Effective Road Safety for Future Cities: Case Study Using GIS and Remote Sensing for Accident Analysis in Navi Mumbai
Abstract: Urban transportation systems face significant challenges due to rapid population growth and development. This study delves into the enhancement of road safety in Navi Mumbai by employing Geographic Information System (GIS) and Remote Sensing (RS) techniques. The escalating rate of vehicular accidents in Navi Mumbai presents a pressing concern. This research investigates accident data and traffic patterns, identifying vulnerable areas prone to accidents and congestion. By conducting spatial analysis using …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 3, 2023 · pp. 9–21 Read article
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Atmospheric Remote Sensing: Bridging Technology and Environmental Challenges
Abstract: The rapid advancements in remote sensing technologies have revolutionized the field of atmospheric studies, offering unprecedented capabilities for detailed observation, analysis, and understanding of the Earth's atmosphere. These technological innovations have proven to be instrumental in tackling critical environmental challenges, providing scientists and researchers with the tools needed to monitor and analyze atmospheric phenomena with greater precision and depth.This article delves into the historical development, current state, and diverse applications …
Published in International Journal of Atmosphere · Vol. 2, Issue 1, 2025 · pp. 14–19 Read article