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227 articles for “web-based application”
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Quality Function Deployment and Software Engineering – A Literature Review
Abstract: ABSTRACTQuality function deployment (QFD) is a customer driven product development process. Over the years QFD has found wide acceptance. QFD started off with the manufacturing but gradually got accepted and applied in several distinct areas. Presently, the use of QFD has spread to services and software development. Software engineering (SE) is a systematic and widely used approach for software product development. Recent studies suggest that QFD can be better applied …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 49–57 Read article
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Rest Web Services
Abstract: Web Services are a collection of open protocols and standards that allow clients and servers to communicate with one another. It enables interoperability between disparate applications. Representational State Transfer (REST) and Simple Object Access Protocol (SOAP) are the two most widely used web services today (SOAP). REST is a style of architecture, whereas SOAP is an underlying protocol. Both services are used to manage communication on the internet (www). Both …
Published in Journal of Web Engineering & Technology · Vol. 8, Issue 3, 2021 · pp. 41–59 Read article
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Modern Day Social Media Issues and Their Solutions
Abstract: Today, over 3.96 billion people use various social media apps. With these huge numbers, come huge responsibilities. Social media today is not just a medium of interaction, but it is seen as a tool. A tool for spreading information about various political events, social movements, crimes, technologies, and what not. The sad part about this is that most of the information is unverified and comes from an unknown source. With …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 2, 2021 · pp. 7–11 Read article
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To Automate Dam Gates and Presage Floods Using Predictive Analytics Through Android Application
Abstract: In today’s world the areas in the range of the dam site are feared by the disaster “Floods”. It would be profuse for the areas prone to floods if they are informed well in advance about the calamity so they could prevent losses. An android application could be built which could predict floods based on present weather conditions and also forecasting conditions. Also, in case of emergency the worker has …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 14–19 Read article
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Gesture-Based Cursor Control: A Comprehensive Review of Techniques and Applications
Abstract: Although hand gesture detection for man-machine interfaces has advanced recently, many systems still have issues with background and lighting. We have developed a rapid motion history image-based system to categorize dynamic hand motions and a face detection method to adaptively detect skin color. For the up, down, left-, and right-hand gesture classifiers, four sets of haar-like directional patterns were trained. To operate different household appliances, six hand gestures were defined, …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 9–13 Read article
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Data Extraction Using NLP for Unstructured Text Categorization
Abstract: Abstract In this research project, I tried to crawl the web and files to create a dataset so that it can be fetched to FRL (Fuzzy rough set-based semi-supervised learning algorithm). The approach used in the project is with the help of semi-supervised learning that made use of unlabeled data for training typically a small amount of labeled data with a large amount of unlabeled data. We de ne and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 3, 2017 · pp. 30–39 Read article
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Innovative Applications of AI and Machine Learning in Voice-Driven Systems: Friday AI 2.0
Abstract: The development of artificial intelligence (AI) has enabled the development of increasingly sophisticated models that can understand and react to human questions. This study introduces Friday AI-2.0, a cutting-edge AI model that improves user engagement by using natural language processing (NLP) and voice synthesis technologies to produce text-based and audio-based responses. By increasing engagement through an intuitive and engaging interface, Friday AI-2.0 seeks to improve the user experience. By describing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Performance and Improvement of Antenna Designs in Modern Wireless Communication System
Abstract: AbstractIn this paper, the cell innovation and the remote correspondence innovation is creating and enhancing quickly. The reception apparatus goes about as the scaffold between the client terminal and the base station controller. Being a key segment of the remote correspondence framework, the reception apparatus' fundamental capacity is to communicate and to get electromagnetic waves. It will, to an expansive degree, influence the quality and the speed of the correspondence. …
Published in Journal of Microwave Engineering and Technologies · Vol. 4, Issue 3, 2017 · pp. 5–10 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
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IoT Based Biometric System
Abstract: AbstractResearch on “Internet of Things” (IoT) is burgeoning time to time owing to its real application in the field of science and technology. The combination of cloud computing, big data, future internet, robotics, semantic technologies, and IoT deal with several applications in every automation pitch. IoT integrates the real world data and services into current information networking for realizing different practical devices. In view of importance of Internet of Things, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 3, 2016 · pp. 17–23 Read article
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A Study on Literature Obsolescence in Agricultural Biotechnology
Abstract: Obsolescence or decline stage of research may encourage towards further research to overcome gaps or a development of new knowledge. This study aims to investigate growth and obsolescence of literature in agricultural biotechnology. 3064 references of 21 research publications from “Emerging Technologies and Management of Crop Stress Tolerance Vol. 1” for the period of 2011–2015 have been taken as a sample to know the obsolescence and growth rate in the …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 2, 2019 · pp. 9–15 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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A Brief Review on Content Based Image Retrieval with Its Techniques
Abstract: In today’s time the growth in digitization of images, diagrams, paintings and explosion of World Wide Web (www), has made classical keyword based on search for an image—an ineffective technique for the retrieval of required image documents. Content-based image retrieval (CBIR) is used to efficiently retrieve required images from fairly large databases. The main problem is to extract the image features that effectively represent image content in a database. In …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 1–8 Read article
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Website Summarization Using Deep Learning
Abstract: They are a lot of websites, articles and blogs on the internet with a lot of textual information it is sometimes impossible to read all of them, without knowing the underlying summary of the whole text. The whole concept is to reduce or minimize the entire Textual information into a small summary of important information present in the documents so that we get an idea of what the blog or …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 7–12 Read article
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Optimizing Multi-Cloud Infrastructure: Advanced Bash-Based Automation for Automated Security Patching and Health Monitoring in Hybrid Linux Environments
Abstract: The proliferation of multi-cloud and hybrid Linux environments has introduced significant operational complexity, particularly in maintaining security compliance and system reliability across diverse infrastructure silos. Traditional patch management approaches, relying on manual interventions or disparate vendor-specific tools, suffer from latency, configuration drift, and limited visibility. This article presents a novel, lightweight automation framework constructed entirely in advanced Bash scripting to address automated security patching and real-time health monitoring across hybrid …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 16–28 Read article
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Multifunctional Resume Analyzer
Abstract: Agencies and numerous high-level organizations get agitated by an outsized range of awards, jobs or higher studies-seeking folks with numerous resumes. The challenge is of managing large volumes of textual data and selecting the most suitable candidate from a pool of applicants. It suggests that the process of choosing the best-fit candidate is difficult due to the vast amounts of information that must be processed. This project provides a wide …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 37–41 Read article
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A Review on Home Automation System using IoT
Abstract: The theme of this IoT-based Home Automation System is to create a smarter, safer, and more energy-efficient living environment by integrating modern sensing and communication technologies. Convenience and time management have become vital components of daily living in today's fast-paced society. The growing demand for intelligent living has encouraged the adoption of technologies that automate everyday activities, strengthen residential security, and improve the efficient utilization of energy resources. Home automation …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 2, 2026 Read article
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Mobile Technology for Libraries: Trends, Challenges, and Future Prospects
Abstract: Mobile technology has a great impact on both individuals and organizations. Over the time, the computational capabilities of these sophisticated technologies have become more accessible and reasonably priced. These technologies have an impact on how people choose to communicate, how they use and access the internet, and how they produce and consume content or services. Furthermore, these technologies have permeated the educational field and changed the way universities and other …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 22–29 Read article
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Stock Market Prediction with LSTM-based Neural Networks: An Empirical Analysis
Abstract: A stock market is a composite of markets and exchanges where the buying and selling of publicly traded company stocks occur on a regular basis. It serves as a marketplace for the stocks of corporations that are available to the public. Companies opt for an initial public offering (IPO) on the primary market as a means to generate capital. People buy stocks primarily in the hope that they may rise …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 9–14 Read article