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50 articles for “Spatial Dependence”
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Statistical Analysis of Spatial Distribution of Tuberculosis in Ethiopia
Abstract: Tuberculosis is the world’s number one cause of death from an infectious disease. In the year 2018 Ethiopia registered 146,172 cases of TB. Among these, 139,261 were new cases; 46,132 new smear-positive (33.1%); 49,037 new smear-negative (35.2%); 44,092 new extra-pulmonary TB (31.6%). The main objective of this study is to assess the spatial distribution of TB in Ethiopia by using spatial statistical methods. Spatial clustering of Tuberculosis was explored using …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 3, 2020 · pp. 36–48 Read article
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Advance in Spatial Statistics for Environmental Data Analysis
Abstract: Recent advancements in spatial statistics have significantly enhanced the analysis of environmental data, addressing complex spatial dependencies and offering robust methodologies for environmental monitoring, modeling, and decision-making. This abstract highlights key developments in the field, emphasizing their applications and impact. Geostatistical Methods, Improved geostatistical techniques, such as kriging and co-kriging, provide more accurate predictions of environmental variables by incorporating spatial correlation structures. Advanced kriging variants, including Bayesian kriging and machine …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 35–39 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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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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Fibre Orientation and Void Distribution Analysis in Polymer Composite Structures Using Image Processing
Abstract: Fibre orientation and void distribution are critical microstructural features that govern the mechanical performance and reliability of polymer composite materials. Accurate and simultaneous characterisation of these features remains challenging due to their complex spatial interactions and dependence on processing conditions. In this work, an integrated image-processing framework is proposed for the quantitative analysis of fiber orientation and void distribution in polymer composite structures. High-resolution composite microstructure images are processed through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 925–933 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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Response Study of High Rise Building under Wind Load
Abstract: Wind is a phenomenon of great complexity because of the many flow situations arising from the interaction of wind with structures. Wind is of the most significant forces of nature that must be considered in design of buildings. The characteristics of wind-induced loads on buildings continuously vary in temporal and spatial dimensions. Adequate design of buildings depends on the success in predicting the actual effects of turbulent wind forces to …
Published in Recent Trends in Civil Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 35–45 Read article
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Automation Process of Watershed Assessment: Remote Sensing & GIS Techniques
Abstract: A number of water reservoirs, lakes are found in the study area such as Bhagora Tal, Chand Pata Tal, Madhav Lake, Signiwas Tal, Raichand Kheri Tal, etc. These water bodies are occupying low land, plain lands, surrounded by hills and are generally used for domestic water supply, hydel power generation and irrigation purposes. They depend on the availability of seasonal water in nature. The purpose of the watershed assessment in …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 1–6 Read article
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Harmonically Varying Moving Load on Time-Dependent Uniform Beam Resting on Pasternak Foundation
Abstract: In this paper, we investigated elastic beam whose properties does not varies with spatial coordinate but constant along the span L of the beam. The moving load considered in this work is harmonically varying moving load with non-classical boundary conditions, time dependent boundary conditions in particular. Also, considered in this work is two parameters foundation which are Winkler and Pasternak foundations. Closed form solutions in plotted form are obtained using …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 38–47 Read article
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A SEIR-Informed Stacked Fusion of Prophet, XGBoost, and LSTM for Ward-Level Epidemic Forecasting in Amravati Municipal Corporation
Abstract: Municipal epidemic preparedness depends on accurate short-horizon forecasts at fine spatial granularity. Ward-level incidence series are typically nonstationary due to changing contact patterns, interventions, reporting delays, and heterogeneous demographic and environmental factors. This paper presents a mathematically formulated hybrid forecasting architecture designed for Amravati Municipal Corporation (AMC). The method decomposes observed incidence into (i) a mechanistic SEIR baseline that enforces epidemiological structure and (ii) a data-driven residual learned using Prophet …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 17–23 Read article
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Utilizing Image Processing Methods for Infrared (IR) Intensity Measurement across Spatial and Temporal Domains
Abstract: The research outlined in this investigation centres on employing image processing techniques to measure infrared (IR) intensity in spatial and temporal domains. The primary objective is to ascertain intensity levels at various spatial points over time, utilizing thermal imaging technology. To record the burning flare and produce radiometric data, the experimental setup makes use of a thermal camera. Additionally, a spectroradiometer is utilized to gauge intensity. To provide a particular …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 1, 2024 · pp. 1–1O Read article
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Shortest Route Identification Model for Urban Solid Waste Disposal Management Using GIS: A Case of Gulu City, Northern Uganda
Abstract: GIS has been employed for integration of both spatial and non-spatial data. It can be applied to any service that is dependent on network like water and power supplies, sewage and transportation. This study was done in Gulu municipality to address the problem of poor solid waste disposal management. It proposes a shortest route identification model to minimize travel distance and reduce collection time by the trucks. The constraints that …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 1, 2024 · pp. 1–19 Read article
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Safety Control Assistance and Monitoring based on Mobile Apps and Geographical Information System Approach
Abstract: Safety control assistance and monitoring is the GPS/route tracker solution especially with mobile apps for both personal safety and staff safety. Safety control is a leading personal safety with a GPS/route tracker along the route layer to automatically calculate, analyze and generate e-mail, text your exact location to your emergency contacts or administrator. If you do not check-in safely after working or socializing or travelling alone, providing your exact mobile …
Published in Journal of Geotechnical Engineering · Vol. 3, Issue 3, 2016 · pp. 23–26 Read article
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REVIEW OF INPUT SELECTION CRITERIA; COMPARISON OF POPULAR METHODS USED IN WATER STRESS ANALYSIS.
Abstract: This paper examines input variables and their respective selection criteria intended for application in methodologies addressing water scarcity. It presents a comparative analysis of prominent approaches utilized in assessing water stress within urban contexts, such as the Analytic Hierarchy Process (AHP), Multiple Criteria Decision Making (MCDM), Geographic Overlay Decision (GOD), and System for Integrated Assessment of City Transformation towards Sustainability (SINTACTS). The principal aim is to scrutinize prevailing input parameters …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 311–319 Read article
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Factors Affecting Adoption of Clean and Safe Milk Production Practices in Kerala
Abstract: The pattern of adoption of clean and safe milk production practices among 210 farmers selected from three districts Kollam, Thiruvananthapuram, and Palakkad was analyzed. An attempt was made for the development of the Clean and Safe Milk Production Index (CSMPI) based on the responses received from the farmers. The CSMPI associated with the risk of contamination hazard had thehighest mean score, whereas among all the indices, storage-related CSMPI values showed …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 11, Issue 3, 2022 · pp. 15–22 Read article
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Developing Design Sense in First-Year Architecture Students: A Pedagogical Approach to Basic Design
Abstract: This study explores the pedagogical significance of Basic Design Studios in shaping the foundational competencies of first-year architecture students. Serving as the foundation of architectural education, these studios cultivate essential skills in spatial awareness, creative thinking, and problem-solving. The research underscores how structured studio exercises, material explorations, and conceptual modeling collectively nurture an understanding of the interrelationship between space, form, and function. By emphasizing experiential and hands-on learning, students are …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 1–6 Read article
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Progress and Uses of Satellite Remote Sensing
Abstract: Satellite remote sensing has become an important tool for watching, studying, and controlling both natural and man-made systems on Earth. Satellite sensors collect electromagnetic radiation that is reflected or transmitted from the Earth's surface. This data is needed for environmental monitoring, resource management, and hazard assessment. Recent improvements in sensor resolution, data processing techniques, and cloud-based platforms have made remote sensing applications much more accurate and easier to use. The …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 8–19 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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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 Read article