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393 articles for “MAP”
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Prospects of Using Geographic Information Technology in the Public Health Sector of Sri Lanka
Abstract: Geographic information technology has a significant potential of benefiting the health industry in both public and private sectors. With its ability in data management, integration and visual interpretation, geographic information system (GIS) can be used as a powerful tool for the advancement of health sector of the country. GIS has high prospects in disease tracking, health surveys, health mapping and analysis of demography, man power, service networks, facility accessibility, health …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 1, Issue 3, 2012 · pp. 12–22 Read article
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Design of a Navigation App with AR And VR Features
Abstract: Augmented Reality (AR) is an interactive experience of a real-world environment which is the integration of digital information with the user’s environment in real-time. Unlike virtual reality (VR), which generates a completely artificial environment, AR utilizes the current environment and additionally overlays fresh data. The ultimate objective here is to design a navigation app which uses the features of AR and VR in an effective manner to the travelers. Most …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 2, 2019 · pp. 1–5 Read article
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Land Use Planning and Urban Flood Resilience: A GIS-Based Assessment of Master Plan for Delhi in the National Capital Territory of India
Abstract: Rapid and unplanned urbanisation replacing the natural flood absorbing formations has caused socio-economic disruption and vulnerability. Urban flooding has become a major problem in India’s National Capital Region. Unchecked urban growth in the lowlands exacerbates flooding and inadequate drainage systems are unable to cope with the rising rainfall. We need to move from a focus on disaster response to managing floods and building flood resilience. Land use planning is an …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 4, Issue 2, 2026 Read article
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Brain Stroke Detection Using Deep Learning and Grad-CAM Explainability Framework
Abstract: Seconds matter when a brain stroke occurs; it is a race against time where rapid, precise intervention is the only way to preserve a patient’s quality of life. This research introduces a deep learning framework designed to act as a vital ally for clinicians, providing automated, high-speed stroke detection through brain MRI analysis. At the heart of our approach is EfficientNetB0, a sophisticated neural network chosen for its ability to …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 8–14 Read article
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A Reproducible Low-cost Adaptive Cruise Control Platform with Lidar–Ultrasonic Sensor Fusion and Timer-conflict-free Servo-Scanned Blind-spot Detection on Arduino UNO
Abstract: Road traffic deaths caused by driver distraction and inadequate surroundings remain a big problem for preventable deaths. This paper talks about designing and testing an affordable, easy-to-copy Adaptive Cruise Control (ACC) system. It uses LiDAR-ultrasonic sensors to figure out how far things are in front of the car, and a servo-actuated, dynamically scanned blind spot detector. All of this runs on a single Arduino Uno. To measure front distance, they …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 58–70 Read article
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Uniform Beam Dynamics Under Exponentially Moving Load on Bi-paeametric Foundation with Time-dependent Boundary Effects
Abstract: This study investigates the problem of a uniform elastic beam subjected to exponentially varying moving load with time dependent boundary conditions. A complex structural dynamic problem that has very significant implications for various applications such as railway systems, bridge structures, industrial machinery will be addressed in this research. A damping term is built into the uniform beam model to give a more realistic picture of the structural behaviour, while the …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 53–64 Read article
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ClgJone: A Flutter-Based Real-Time Social Platform for Student Housing and Community Integration
Abstract: Student housing and roommate search is a scattered field which mostly sees itself out for community building and trust within a college setting. We present ClgJone which is a Flutter based, Firebase supported student centered mobile app that puts together roommate match up, community news feed, and secure real time messaging into one campus wide platform. The app is for university students and it has authorization, roommate finders, chat, community …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 2, 2026 Read article
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Fractional Riemannian Fuzzy C-Means with Time-Series Regularization for Economic Manifold Forecasting
Abstract: A fractional Riemannian fuzzy c-means framework is proposed for uncertain economic forecasting on non-Euclidean data domains. Observations are represented on a Riemannian manifold, cluster centres are intrinsic prototypes, and a latent fuzzy regime signal is regularised by both autoregressive and fractional-memory penalties. The resulting objective couples geometric clustering with time-series consistency, thereby discouraging partitions that are locally plausible but temporally incoherent. Closed-form membership updates, exponential-map centre updates, normal equations for …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 49–55 Read article
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Control the Robot via Both Voice & Moblie Application in Departmental Information Robot
Abstract: The concept and development of an autonomous, interactive humanoid robot created to deliver college information via voice and mobile application control are presented in this work. To facilitate easy user interaction with the robot, the suggested system combines intelligent control, wireless connection, and speech recognition. The robot is equipped with a 10-inch monitor that provides instructors and students with information about college departments, facilities, and services. Oral responses from a …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 2, 2026 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Structural and Hydrogeological Characterization of the Olkaria Dome Geothermal Field, Lake Naivasha Basin
Abstract: The Olkaria Dome Geothermal Field in the Lake Naivasha Basin is one of Kenya's principal geothermal resource areas, where fluid circulation and reservoir performance are strongly controlled by geological structures and hydrogeological conditions. This study integrates geological, structural, hydrogeological, mineralogical, and soil-gas data to characterize reservoir permeability and fluid flow pathways. Correlation of lithological units with drilling circulation-loss zones identifies highly fractured formations that enhance geothermal fluid movement. Mineralogical mapping …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 28–49 Read article