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221 articles for “spatial data”
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Application of GIS Web Based in Construction Management
Abstract: Project management is the process and task of planning, organizing, motivating, and controlling resources, procedures, and protocols to achieve specific goals in scientific or daily problems. In the construction world, it is crucial to monitor project management because each project has its duration and every contractor needs to complete the project within the given time. Moreover, exceeding the duration given will cause the penalty to the contractor which in turn …
Published in Journal of Geotechnical Engineering · Vol. 4, Issue 2, 2017 · pp. 17–25 Read article
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An Enhanced DBSCAN Clustering Mechanism in Big Data
Abstract: Big data is the term for a gathering of data sets so immense and complex that it ends up hard to process utilizing present database administration devices or traditional data handling applications. Today, current data volumes are driven by both unstructured and semi-organized data. In this manner, end-to-end preparing can be blocked by the change between organized data in social frameworks of database administration and unstructured data for examination. In …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 2, 2018 · pp. 10–15 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Soil Quality Assessment using GIS and Parameter Indexing Method
Abstract: AbstractThis study is conducted to examine the quality of soil in Chamarajanagara district, Karnataka, India, by using five different parameters such as Soil Parental Material, Soil Texture, Soil Depth, Soil Infiltration Capacity and Slope. Based on the quality, indexes were assigned for sub-parameters. Then soil quality was computed by using geographical information systems, which deals with spatially referenced raster and vector data. The result found that the soils were in …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 5, Issue 1, 2016 · pp. 16–24 Read article
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Role of Geographic Information System and Remote Sensing in Monitoring and Management of Urban and Watershed Environment: Overview
Abstract: Geoinformatics technology is basically comprises of 3S component, Remote Sensing (RS), Geographic Information System (GIS) and Global Positioning System (GPS). Nowadays Geographic Information System and Remote Sensing are playing a crucial role in our environmental development, raw materials assessment, urbanization, study of watershed, survey and management of cultivable land, study of forestry, geological structure, disaster management and supervision, etc. GIS and RS have emerged as key instruments for retrieving data …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 2, 2016 · pp. 60–73 Read article
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The Tapper Approach: An Integrated Framework for Land Degradation, Restoration, and Climate-Conflict Dynamics
Abstract: Land systems across the globe are increasingly exposed to multiple and interacting pressures, including land degradation, climate change, biodiversity loss, unsustainable land-use practices, rapid population growth, and socio-economic conflicts. These challenges not only reduce ecosystem productivity and resilience but also threaten food security, water availability, rural livelihoods, and long-term environmental sustainability. Despite the growing recognition of these interconnected issues, most existing conceptual and analytical frameworks continue to address them in …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 24–30 Read article
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Various Approaches and Literature based on CBIR: A Survey
Abstract: CBIR is the assignment of retrieving the pictures from the vast accumulation of database based on their own visual substance. This paper gives the review of specially designed accomplishments in the analysis of the region of content-based image retrieval (CBIR). The requirement for the development of CBIR is enhanced as a result of giant progress in the volume of snapshots as good as the preferred software in more than one …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 1–13 Read article
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Covariance based Clustering for Digital Image Compression
Abstract: Traditionally clustering is done based on distance between the data points and the cluster centroids. A new type of clustering based on distance between the covariance matrices of the clustered data points was recently introduced. This allows clustering data points according to their spatial distribution model. This paper presents an improved algorithm for the computation of covariance based clustering with application to digital image compression. Karhunen-Loeve Transform is an optimal …
Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 16–21 Read article
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Spatiotemporal Analysis of Noida, Greater Noida and Surrounding Areas (India) Using Remote Sensing and GIS Approaches
Abstract: Spatiotemporal analysis refers to an analysis having both spatial extension and temporal duration. Remote sensing has provided a great tool to quantify changes using satellite data in our area of interest. Population of Indian cities is growing rapidly. That is why human need for shelter is also growing day by day, resulting in fast urbanization. This study uses remote sensing and GIS approaches to delineate the urban growth resulting in …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 3, 2012 · pp. 42–51 Read article
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Review of Agriculture Water Conservation Using Remote Sensing
Abstract: The operational usage of irrigation depending on frequent multi-spectral imaging data is supported by the experiences accumulated over the previous 30 years. The operational application of dense time - series data of multispectral imaging at high spatial resolution currently enables monitoring of agricultural biophysical parameters, recording crop water usage throughout the growing season, with adequate temporal and spatial resolutions. These developments enable precise estimates of agricultural water requirements with previously …
Published in Journal of Water Pollution & Purification Research · Vol. 9, Issue 2, 2022 · pp. 28–31 Read article
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Seasonal Dynamics of Coastal Landscapes: A Critical Review Using Remote Sensing and GIS
Abstract: Coastal landscapes are among the most dynamic environments on Earth, undergoing continuous transformation due to both natural processes and anthropogenic activities. In India, particularly along the southern coastal regions of Andhra Pradesh, Tamil Nadu, and Kerala, shoreline morphology and sediment transport patterns are significantly influenced by seasonal monsoons, cyclones, storm surges, waves, tides, and changing river discharges. These factors contribute to varying rates of coastal erosion, accretion, inundation, and land- …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Numerical Simulation of Energy Efficient Routing Protocol in Wireless Sensor Network Using Optimized LEACH
Abstract: Wireless sensor systems consist of, for instance, independent sensors used to measure temperature, humidity, and physical and environmental conditions spatially distributed. These sensors transmit data to a dish. Due to the huge ability of sensor network to link the physical world to the vertical world, the popularity of the wireless sensor networks (WSNs) has enormously increased. Becoming a repetitive job since those devices rely on battery power and can be …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 48–56 Read article
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Implementation of Adaptive Image Watermarking System Using Complementary Quantization Method
Abstract: Blind watermarking installed the watermark by adding or removing a quantized consistent worth from the quantization table. In this study, another versatile and copy quantized blind watermarking framework is proposed to achieve higher straightforwardness. The versatile and correlative quantized table is proposed to propel the vigor as per the properties of the human visual framework and simply observable twisting. Furthermore, the mistake rectifying based watermarking will have the property that …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 1, 2022 · pp. 23–30 Read article
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Mapping Flood Risk of Nsanje District in Malawi Using Sentinel-1 Data
Abstract: The all-time imaging ability of SAR systems which can penetrate cloud cover and free availability of Sentinel C-Band data are very useful in deriving critical spatial information for flood disaster management in tropical areas such as Malawi. This study shows how Sentinel-1 data has been used to map flood extents by utilizing VH and VV polarizations and enhance risk mapping during the years 2015 to 2020 in Nsanje district. Multi-dated …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 3, 2020 · pp. 11–34 Read article
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Scope of Single cell Genomics: Bioinformatics Review
Abstract: To study the Expression profile of genes and its regulations in single cell resolutions is one of the major factor to improvise the current therapeutic options. Bulk RNA sequencing has been discussed by many groups before, better understanding over analysis methods with standard best practice guidelines were demonstrated extensively in past 2 decades. The single cell resolution of RNA expression data analysis has many varieties of software in open source …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 1, 2022 · pp. 43–51 Read article
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Hybrid approach for emotion detection in text using spatial-temporal features
Abstract: In recent years, the incredible exploratory growth of online data in social media mainly Twitter has to lead to growing attention of researchers towards Affective analysis of social media streams. Around 500 million tweets are generated per day all around the globe. Classification of these tweets into different affective classes is an arduous task. We propose a novel approach of classifying a tweet into Ekman’s six basic emotion classes using …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 34–44 Read article
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Climate-Driven Shifts in Vector-Borne Disease Ecology Across South Asia
Abstract: Climate change remains one of the most important phenomena affecting the geographical distribution and movement patterns of vector-borne diseases. In South Asia – characterized by high population density, rich biodiversity, and sharp climatic differences – there is growing evidence of the relationship between increasing temperatures and erratic precipitation, along with the behavior of insect vectors. This research aims to evaluate the effects of climate environmental changes on the distribution and …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article