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67 articles for “visual interpretation”
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Land Use and Land Cover Analysis of Jharkhand Using Satellite Remote Sensing
Abstract: IRS P6 LISS III data was used to delineate different land use/land cover classes of Jharkhand using visual interpretation technique. Tone and texture were found most important for interpretation of different objects. A total of 42 classes of different land use/land cover categories were interpreted. Agricultural land with current fallow and forest areas dominated the landscape of Jharkhand by occupying 49% and 30% of total geographical area, respectively. Built-up (urban …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 1, Issue 1-3, 2012 · pp. 22–31 Read article
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Color Based Human Computer Interface
Abstract: The use of colored finger tips provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of colored finger tips can help in achieving the ease and naturalness desired for HCI. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures. We survey the literature on visual interpretation of colored finger tips in the context of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 27–32 Read article
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Monitoring and Change Analysis of Qingdao Coastal Line from 1973 to 2016 Based on Remote Sensing Technology
Abstract: Qingdao is near the Yellow Sea and has a long coastline. In recent years, with rapid development, the coastline of Qingdao has changed greatly. Accurate detection of coastline can understand the characteristics of urban development and the relationship between urban development and ecological change. Compared with manual monitoring, remote sensing technology is widely used in coastline monitoring because of its fast monitoring speed, low monitoring cost and high monitoring accuracy. …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 2, 2019 · pp. 35–42 Read article
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Mapping of Land Use/Land Cover Changes in Upper Ponnaiyar Watershed, Tamil Nadu: A Remote Sensing and GIS Approach
Abstract: Land use and land cover is an important element in understanding the interactions of human activities with the environment and thus it is necessary to assess changes. Experiential observation revealed that changes have occurred in land use/land cover and hence an attempt is made to study the changes in land use and land cover in upper Ponnaiyar river basin over a period of 40 years (1973–2013). The study carried out …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 3, 2014 · pp. 31–35 Read article
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Vision Based Gesture Recognition Techniques: A Review
Abstract: With the ever-growing use of computers in the society, it is clearly seen that present popular mode of interactions with computers is mouse and keyboard. Mouse and keyboard will become an inconvenient way to convey information to the computers. Nowadays there are intelligent systems in which the flow of information takes place without any physical contact. The vision based (camera) gesture recognition has the potential to be a natural and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Graphs and Their Real-Life Applications in Pharmaceutical Research
Abstract: This study provides a comprehensive overview of the role of graphs in pharmacy research, emphasizing their significance as powerful tools for data visualization, interpretation, and communication. In the field of pharmacy, research often generates large volumes of complex data related to drug development, pharmacokinetics, pharmacodynamics, medication safety, and patient outcomes. Graphs serve as an essential medium to translate these data into accessible, interpretable, and actionable insights, supporting evidence-based practice and …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 3, 2025 · pp. 01–08 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 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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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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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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Dynamics of Land Use/Land Cover Changes in Ballia District, Using Landsat TM Data
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 The land use/land cover is an important component to understand the human intervention with the environment. The land use/land cover pattern is an outcome of natural and socio-economic factors and their utilization by man in time and space. Land is becoming a scarce resource due to immense agricultural and demographic pressure. Hence, information on land use/land cover (LU/LC) and possibilities for their optimal use …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 29–35 Read article
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Land Use/Land Cover Information at Various Scales of Remote Sensing Data of Jhunjhunu District, Rajasthan
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Through the present study, variation in land use, land cover (LULC) with change in scale is discussed. The authors carried out the visual interpretation with the aid of supervised classification, aiming to obtain LULC information at various levels of remote sensing data of district Jhunjhunu of Rajasthan. Remote sensing data of IRS-P6 (LISS-III) standard false color composites (FCCs) on 1:1 M, …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 43–54 Read article
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Geomorphometric Characteristics and Associated Land Use/Land Cover in Sajnam Basin: A Remote Sensing and GIS Based Approach
Abstract: The present study makes an attempt to assess drainage basin characteristics of Sajnam watershed situated in Lalitpur district of Bundelkhand region, Uttar Pradesh. The basin covering an area of 995.87 km2 was delineated on Arc map software using Arc hydro tool and the ASTER data. Elevation and slope map were prepared using ASTER data and the maximum and minimum elevation encountered in the area are 283 meter and 563 meters …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 3, 2017 · pp. 22–32 Read article
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Sub-Pixel Classification of Multi-date Satellite Images for Accurate Change Detection in Pichavaram Mangroves, Tamilnadu, India
Abstract: The Pichavaram mangrove wetland ecosystem contains species such as Rhizophora apiculata and Avicennia marina which are interspersed with the creeks and marshland landforms. Various studies have indicated that over the years the areal extent of this mangrove ecosystem has decreased due to both human impact and natural causes (erosion). However, field visits have indicated an increase in the areal extent due to re-forestation by the officials of the forestry department. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 30–37 Read article
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Vision Compromised Communication Technology
Abstract: 2001 census of India indicates that nearly 21 million of its citizens are disabled. This constitutes a significant fraction of our population. Out of this figure a large number of people are visually handicapped. They have problem related with their visual capability i.e. either they can’t see things completely (totally blind) or have vision problem related to contrast, color, distance, unclear vision etc. (partially blind). The field of medical science …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 1, 2015 · pp. 19–37 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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Country Cluster Visualization Based on Agricultural Imports: Unsupervised Learning Approach
Abstract: The clustering algorithm used in this analysis makes it easier for policymakers to understand performance metrics. K-means clustering has been demonstrated to be a tool for analyzing countries' agricultural imports and a visualization tool for interpreting the results in this study. Authors have used agricultural imports from 190 nations from Knoema, a web-based open data platform. Cereals, meat, and coffee imports from 190 nations in 2016 are included in the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article