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1850 articles for “Data Base” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Design and Development of a Location-Based Household Service Management System
Abstract: Household services play an important role in maintaining day-to-day life, especially in urban areas where people depend on external professionals for tasks such as plumbing, electrical work, and general repairs. However, users often face difficulties in finding reliable service providers quickly and efficiently due to unorganized systems and a lack of a centralized platform. This paper presents a location-based household service management system, a web-based application designed to connect users …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 43–56 Read article
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Text Analysis in Health Care Study Using IoT
Abstract: The Internet of Things (IoT) should be a recent buzzword that has steadily acquired acceptance (IoT). Organizations, governments, and the scientific community have already acknowledged the significance of the Internet of Things as a result of a surge in publications over the past few years. Despite scant research on goals and potential breakthroughs, IoT in health had a significant role in this development. In this study, the only method used …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 11–18 Read article
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IoT-Based Smart Automotive Parking System
Abstract: A billion devices and services can be connected to the Internet of Things (IoT) at any time, anywhere, and with a variety of applications. IoT has recently emerged as a technology. The topic of smart auto parking is one of the most important current research discussion topics on the IoT. Almost a million cars are on the highways of a modern urban city, but there is not enough parking. Also, …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 3, 2022 · pp. 28–34 Read article
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Morse Code Translator to Convert Text to Morse Code and Morse to Text
Abstract: Initially, Morse code exclusively conveyed numerals through a series of dits (dots) and dahs (dashes). Alfred Vail later expanded its use to include letters and characters. Morse code can be conveyed through different channels, including electric telegraph wires, light signals, and audible sound. American prisoners utilize the Tap code for communication. Morse code serves as a means of long-distance communication and was established by European nations in 1851 as the …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 1, 2024 · pp. 6–11 Read article
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IoT-based Edge Computing Will Breach Data or Make Life Simpler
Abstract: Security is critical in today’s world since we have sensitive and confidential data that we do not want to share with anyone, yet adversaries attack our data and steal our identities. Similarly, with Internet of things (IoT), attackers attack devices or communication networks and steal data. Regardless of the source of the data, most current systems for cloud-supported, edge-data analytics employ rigorous bottom-up analytics approaches. Data are frequently generated at …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 6–10 Read article
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A Case based Practical Approach for Novel Data Transformation to Enhance Accuracy of Decision Tree Ensembles
Abstract: AbstractIf we talk about any real world situation then we can see that all the situations dramatically changes as the time passes. If we say this statement in some technical form, concepts changes gradually. This situation is called as Concept Drift that is the core of any approach. Until we cannot get the accurate output for a given input parameter, the concepts will concurrently change. To overcome this situation we …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 1–6 Read article
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Computational Biology & Bioinformatics: A Gentle Overview
Abstract: Computational biology organises our understanding of life, makes biological concepts rigorous and testable, and provides a reference map that connects individual insights. The next modern synthesis in biology will be driven by the incorporation of mathematical, statistical, and computational methods into mainstream biological education, transforming biology into a quantitative science. Bioinformatics is divided into several branches, including Genomics, Proteomics, Computer-Aided Drug Design, Bio Data Bases & Data Mining, Molecular Phylogenetics, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 1–3 Read article
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Improvement in Cluster based Routing Leach Protocol in WSN
Abstract: Wireless sensor networks contain multiple nodes which are small in nature which are called sensor nodes. They communicate among themselves via wireless strategy. There is various protocol have been proposed earlier like Hierarchical Protocols LEACH, HEED, PEGASIS TEEN, APTEEN, Mobility-based Protocols SEAD, TTDD, Joint Mobility and Routing, , Dynamic Proxy Tree-Base Data Dissemination Multipath-based Protocols, Data MULES, Location-based Protocols etc. For performing routing in sensor networks effectively, generally, we use …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 2, 2018 · pp. 5–9 Read article
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Implementation of MRPrePost Parallel Algorithm based on Hadoop Platform for Large-Data Mining
Abstract: AbstractThe volume, velocity and variety of the data have increased several folds in the past few years. The conventional algorithms and techniques used to mine such huge data are found to be less efficient because these algorithms consider only the large threshold value due to which the number of candidates can be reduced, but this will lead mining association rules production to be inaccurate due to low utilization of data. …
Published in Recent Trends in Parallel Computing · Vol. 4, Issue 2, 2017 · pp. 10–20 Read article
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Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Personalized Web Search Over Encrypted Databases
Abstract: This paper involves the study of every user as the internet having an interest on his personalized personal search. To personal search the web content data on encrypted data bases and performing related data, collection data tasks while preserving data confidentiality is a desirable capability when a database is stored on a server maintained by a third-party service provider. This paper addresses the problem of enabling personalized web content-based collection …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 2, 2014 · pp. 1–8 Read article
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Mining WebLog Data Using Enhanced Map-Reduce Based SOM Algorithm
Abstract: Web utilization mining is a procedure for finding client route designs in web server to get web log data. These route designs are additionally scrutinized by different information mining strategies. The found route instances can be further used to recognize the successive transactions of the client, foreseeing the future demand of client, and so on which very much essential due to enormous developments in electronic trade sites.Through a colossal measure …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 10–17 Read article
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A Review Paper Based on Methodologies and Applications of Data Mining
Abstract: Data mining is like extracting record from a heap of data. Understanding database concepts is vital for data mining. Knowledge Discovery in Databases (KDD) is used to discover crucial data-related information. Our motive is being inundated with exceptional types of information science statistics, environmental records, financial records, and mathematical records. Summarizing the information manually is not possible because of the notable data boom inside the age of community and records …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 8–15 Read article
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A Survey on Content Based Image Retrieval Using Color, Texture and Shape Features
Abstract: Due to increase in volume of images in database, content based image retrieval becomes a challenging problem. To overcome such problems and efficient access of images from database, image retrieval uses low level features such as color, shape and texture that are prominent to retrieve the images. These features are extracted from the images. At last images are retrieved relevant to the query image from the database based on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 70–77 Read article
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A Survey on Content Based Image Retrieval Using Color, Texture and Shape Features
Abstract: Due to increase in volume of images in database, content based image retrieval becomes a challenging problem. To overcome such problems and efficient access of images from database, image retrieval uses low level features such as color, shape and texture that are prominent to retrieve the images. These features are extracted from the images. At last images are retrieved relevant to the query image from the database based on the …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 2, 2015 · pp. 1–8 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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AI-Driven Home Security System
Abstract: The fast-paced growth in Artificial Intelligence (AI) and computer vision technologies has created new opportunities in the realm of home security. This paper outlines a developed model of an AI-powered home security system that encompasses face recognition technology for accessing and conducting surveillance at a home in real time. The real time system is designed with advanced algorithms for facial recognition, allowing it to target authorized individuals and intruders from …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 Read article
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Data Mining Made Simple by A priori Algorithm for Market Analysis
Abstract: Data mining and data warehousing are increasingly becoming popular among IT professionals, academics and researchers from different disciplines. Business enterprises, small, medium or large scale, are considering the deployment of a warehouse as a major step and as a matter of pride. Data mining or knowledge discovery in data bases combines the techniques from mathematics, statistics, algorithms and artificial intelligence to extract the knowledge. Data mining is a main phase …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 1–4 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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Data Anonymnization for Privacy Protection Using Deep Learning Techniques
Abstract: The majority of real data are unbalanced, which makes them challenging to classify. Unbalanced data has been the subject of some research. However, deep learning has not taken into account how to manage such data. In this paper, we suggest deep learning-based data mining with imbalanced data for privacy protection. We discuss and analyse the aspects of current privacy-protection data mining as well as a deep learning based anonymizing tool. …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 26–35 Read article