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239 articles for “retrieving data”
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Different Various Techniques of CBIR: A Review
Abstract: Abstract—The content-based image retrieval (CBIR) is turning into a supply of precise and fast retrieval. In this paper, the strategies of CBIR are mentioned. As image collections are growing at a rapid fee, call for efficient and powerful equipment for retrieval of query pictures from a database is expanded appreciably. Among them, CBIR have turn out to be very famous for browsing, looking and retrieving pictures from a big database …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 2, 2017 · pp. 18–24 Read article
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Structural Studies of Alternatively Sliced Transcript Isoforms in Context of Esophageal Cancer
Abstract: Microarray one of the high throughput technologies is used to measure the gene expression, which serves as the primary source for different types of analysis. The results of these experiments are stored in several repositories/databases of which many are made publically available. GEO-Gene Expression Omnibus is one among them. Alternative splicing is a regulated process whose deregulation influences cancer. In the present work, the expression array data sets of esophageal …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 1, Issue 2, 2014 · pp. 38–45 Read article
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Data Science: Domains, Process, Roles and Responsibilities
Abstract: The study of information retrieval and analysis, or data science, tries to identify information and correspondence hidden in raw, defined information. To extract useful information from data, data science therefore combines programming expertise with understanding of mathematics and statistics. In the field of data science, machine learning algorithms are employed to handle various types of input, including numerical, textual, visual, and auditory data. Therefore, algorithms perform certain tasks related to …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 2, 2023 · pp. 29–35 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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SQL Database
Abstract: AbstractSQL stands for Structured Query Language, which is designed for the storing, retrieval and management of data in relational database. SQL includes database creation, deletion, updation, insertion, execution, fetching rows and modifying rows, etc. SQL is an ANSI (American National Standards Institute) standard.Keywords: SQL, database, DDL (data definition language), DML (data manipulationlanguage)Cite this ArticleSalomi S. Thomas, Samuel K. Thomas. SQL Database. Journal of Computer Technology & Applications. 2016; 7(3): 1–5p.
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 3, 2016 · pp. 1–5 Read article
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Finger Print Based Authentication for Medical Data Informatics System
Abstract: Good medical practice requires the best, efficient and privacy-preserved patient health records. This paper focuses on few concerns related to the utilization of systems for maintaining health records. Primarily, electronic health records (ECR’s) cannot be remotely accessed by the patient anywhere, anytime, but also is used to maintain the privacy of patient’s data. The proposed method aims on the potential use of biometric identification to maintain a common health record …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 1, 2018 · pp. 23–27 Read article
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A Survey on Different Clustering Algorithms with Their Major Features
Abstract: Data mining techniques make it possible to search large amounts of data for characteristic rules and patterns. Clustering is used to organize data for efficient retrieval. The aim is to create homogeneous subgroups of examples. The individuals in the same subgroup are similar; the individuals in different subgroups are as different as possible. One of the problems in clustering is the identification of clusters in given data. A popular technique …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 3, 2014 · pp. 19–24 Read article
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A CBIR Technique Comparison Using Color, Texture and Shape Features
Abstract: AbstractPicture recovery is a framework for seeking, perusing, and recovery of pictures from computerized image database-based image retrieval (CBIR). It is a plan of picture inquiry which supplements the standard based image retrieval through visual elements, for example texture, shading, and shape. This framework recovers as indicated by the inquiry picture; the client offers or picks a question picture and chooses a space measure which will be used to contrast …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 28–34 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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A Systematic Review of IoT-based Heart Attack Detection Algorithms and Techniques
Abstract: Body temperature has an impact on heart rate, making it a crucial signal that should be watched in order to identify any abnormalities early enough to receive treatment. There is requirement for a small, portable gadget that can be used for monitoring and controlling key indicators on a daily basis. The purpose of this project is to create a device that continuously monitors vital signs while also taking temperature and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Integrating Network Pharmacology And Molecular Docking To Investigate The Possibility Of Rutin Against Gout
Abstract: Objective: Gout is an arthritic condition resulting from the deposition of monosodium urate crystals in and around the joints. Rutin, a bioflavanoid or a plant pigment that is mainly found in vegetables and fruits.It is widely known for its anti-inflammatory and antioxidant activity.Hence this research paper proposes the use of an integrated approach of network pharmacology and molecular docking to investigate the potential of Rutin as a treatment option for …
Published in Research and Reviews : Journal of Computational Biology · Vol. 11, Issue 03, 2022 · pp. 14–27 Read article
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Development of Pain Assessment Software and Testing of Its Reliability and Validity
Abstract: Pain is a multidimensional phenomenon causing anxiety, depression, catastrophizing, and disability.All these dimensions of pain are interlinked with each other. Aim and Purpose: A comprehensive approach for assessment of patient pain is needed to make appropriate treatment plan and follow up. In this study, a computer pain assessment software was developed, which comprehensively assesses the patient and also stores and retrieves the patient data for future research. The software was …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 1, Issue 1-3, 2011 · pp. 1–13 Read article
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Biometric Based Medical Informatics System
Abstract: Good medical practice requires the best, efficient and privacy-preserved patient health records. This paper focuses on few concerns related to the utilization of systems for maintaining health records. Primarily, Electronic Health Records (ECR’s) cannot be remotely accessed by the patient anywhere anytime, also maintaining the privacy of patient’s data. The proposed method aims on the potential use of biometric identification to maintain a common health record database limited by privacy …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 1, 2018 · pp. 22–26 Read article
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Research Publication Trends among Faculty of Bharathiar University: A Scientometric Study
Abstract: The study examined the analysis of research publications of the faculty of Bharathiar University, Coimbatore. Bibliographic records of 4645 items were retrieved from Scopus database between 1982 and 2015 and increasing publications trends were seen in Bharathiar University. The average output of the organization was 137 per year. Among the 4645 papers published in the span of 34 years, highest number of 748 papers was published in the year 2015. …
Published in Journal of Advancements in Library Sciences · Vol. 5, Issue 2, 2018 · pp. 42–50 Read article
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Data Recovery Using Brute Force Algorithm: A Review
Abstract: This article delves into the intriguing field of data recovery, with a particular emphasis on the brute force approach, a powerful yet frequently underappreciated method. We begin by exploring the evolution of data recovery techniques since the 1970s and 1980s, examining traditional methods used to retrieve lost or corrupted data. Following this historical perspective, the article provides a brief overview of various methodologies employed in data recovery, including techniques that …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 10–16 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Rainwater Measuring Algorithm in O(1) Time Complexity
Abstract: The Rain Terraces Time Complexity Data Structure Algorithm (RTTCDSA) introduces a novel method for managing temporal data efficiently, inspired by the natural flow of rainwater on terraced landscapes. This study presents the conceptual framework and implementation details of RTTCDSA, which leverages principles of temporal dynamics and landscape morphology to organize and query temporal data with optimal time complexity. RTTCDSA employs a hierarchical structure akin to terraced landscapes, facilitating rapid traversal …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 26–32 Read article
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Effective CBIR System Using Color Histogram and Distance Measures
Abstract: AbstractInterests to precisely retrieve desired images from databases of medical images are developing every day. Certain features define the images; on the basis of those, the retrieval of images is facilitated. These components incorporate texture, color, shape and region. A lot of work has been done in this direction to discover the new ways to use these features in image retrieval process. In this study, we exhibit an overview of …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 11–14 Read article
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Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Applying the XML-based Technique to Support Keyword Search in Graph Data
Abstract: Graphs have been important and proper structures to represent data with complex relationships in the Web, and keyword search provides a convenient way to querying graphs. Some researchers considered to return r-cliques as answers for keyword search in graph databases. Such concepts can retrieve meaningful information effectively, but the existing approach is computationally expensive. In this paper, we propose to utilize the efficient technique originally designed for keyword search in …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 25–32 Read article