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156 articles for “Database development”
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Versatile CNC Machine for Tabletop Use Enhanced with Machine Learning Integration
Abstract: In the realm of tabletop multipurpose CNC machines, the integration of machine learning represents a groundbreaking advancement potentially revolutionary in the field of desktop manufacturing. This research explores the seamless incorporation of machine learning algorithms into tabletop CNC machines to enhance their capabilities, performance, and user experience. Through case studies and examples, we demonstrate the profound impact of machine learning integration in key areas of CNC machining, such as accurate …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 353–361 Read article
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An Analysis of Open-Access E-Journals in Library and Information Science
Abstract: The growth of open-access e-journals in the field of Library and Information Science represents a transformative shift today. Open-access journals provide unrestricted access to peer-reviewed research, enabling Library and Information Science (LIS) professionals, researchers, and students worldwide to access required knowledge without subscription barriers. This study evaluates open-access (OA) e-journals in the field of LIS, assessing their accessibility, quality, and impact. Objectives: The main objectives of the study are to …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 39–56 Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology Read article
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An Android Based Application Aimed at the University Related Forum
Abstract: This paper presents a system which has been developed using the Android platform for the students enrolled in any university. This application will help various users with university related information accumulated at one place. This application comprises of the question papers of previous years those have been collected as pdf document and has been uploaded in Google Drive account. The add on feature is the “ask your queries” section which …
Published in Recent Trends in Sensor Research & Technology · Vol. 4, Issue 2, 2017 · pp. 19–25 Read article
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Classroom Buddy: Attendance Monitoring and Teaching-Learning App
Abstract: Technology plays an important role in our day-to-day activities. It makes our life very easier. Technology is measured to be extremely important in every sector. It will be education, medical, engineering, agriculture, business, and industry, etc. It provides faster and more efficient ways to get the task done. In education, technology is used very frequently in different ways. It makes activities easier for students and teachers as well. The technology …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 26–33 Read article
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Synergistic Integration of MEMS and Spintronics for Precision Data Analytics in Cheminformatics
Abstract: The transformational potential of merging spintronics and Micro-Electromechanical Systems (MEMS) technologies in cheminformatics is investigated in this work. Recent advancements in MEMS, particularly through the use of microbeam sensors and accelerometers, enhance the precision of data collection and processing, especially in biomedical applications such as drug delivery systems and chemical sensing. The synchronization of oscillations in MEMS devices leads to improved reliability and data accuracy, enabling the development of sophisticated …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 20–26 Read article
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Designing an Application for Community Assistance: WedsPay
Abstract: As the world continues to adjust to the new normal of social distancing, we are seeing a significant shift toward digitalization in many aspects of our lives. In light of this, we have come up with an innovative idea of receiving gifts and blessings from loved ones in a digital format. Our platform, Wedspay, aims to make the process of accepting cash gifts as easy and seamless as possible by …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 1–6 Read article
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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Limestone Calcined Clay Cement (LC3) as a Sustainable Cementitious Composite for Retrofitting Concrete Structures: A Systematic Review
Abstract: This systematic review evaluates the effectiveness of Limestone Calcined Clay Cement (LC3) as a sustainable material for repairing and retrofitting damaged concrete structures. LC3 is highlighted as a low-carbon alternative to Ordinary Portland Cement (OPC), offering improved strength, bonding, and long-term durability. The review compiles and analyzes data from peer-reviewed experimental studies focusing on LC3’s mechanical performance, interface bonding, and durability parameters. Results consistently show higher bond strength, reduced shrinkage, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 163–174 Read article
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Transformative Breakthroughs: Revolutionizing Potato Disease Detection Through Machine Learning
Abstract: Advancements in agricultural technology and the integration of artificial intelligence for diagnosing plant and leaf diseases are crucial for sustainable agricultural development. Conditions like early blight and late blight exert a notable influence on both the quality and quantity of potato harvests. Identifying these leaf diseases manually demands significant labor and a considerable level of expertise. Therefore, efficient, and automated methods for disease detection are essential to improve potato production. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 54–62 Read article
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In Silico Analysis and Molecular Docking Studies of COX-2 Inhibitors for Anti-Inflammatory Activity
Abstract: Although nonsteroidal anti-inflammatory drugs (NSAIDs) are frequently used to treat pain, lower fevers, and control inflammation, they frequently cause gastrointestinal side effects because they inhibit the COX-1 and COX-2 enzymes. Despite their effectiveness and lack of gastrointestinal side effects, selective COX-2 inhibitors have been linked to cardiovascular risks. To find new COX-2 inhibitors that are safer and more effective, this study uses in silico techniques, such as molecular docking and …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 1, 2025 · pp. 38–55 Read article
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Supporting Search as You Type using Incremental Computation and Neighborhood Technique
Abstract: AbstractThe objective of the project is to develop the application Search-as -you-type system, used to show the results based on user query. If user enter any misspelled queries in search engine, automatically it corrects the misspelled query in search box. In the proposed system, concentrate on high performance to attain a speed of searching and showing the results very quickly and corrects the incorrect word. The performance of search is …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 26–29 Read article
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Native Language Identification from Spoken Indian English
Abstract: Automatic speech recognition (ASR) systems that facilitate voice based search and information retrieval have gained importance recently. While the performance of ASR systems for Indian languages have improved in the recent past. They have yet to gain wide acceptability as much as the ASR systems for English spoken by Indians. Almost all Indians learn English as a second or third language. So, the phoneme set and the prosody of native …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 1–6 Read article
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A MERN-Based Crime Management System: Enhancing Crime Reporting and Law Enforcement Collaboration
Abstract: In the modern digital age, efficient crime management is essential for safeguarding the public and upholding law and order. This project introduces the development of a Crime Management System (CMS) built with the MERN stack (MongoDB, Express.js, React, Node.js) to streamline crime reporting, monitoring, and coordination among law enforcement agencies. The CMS is designed to streamline the processes of crime reporting, record management, and data analysis, addressing inefficiencies in traditional …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 40–52 Read article
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Focusing on Different Therapeutic Approaches in People with Stroke Rehabilitation: A Scoping Review of Literature
Abstract: Background: Stroke is one of the main sources of death and incapacity in both the developing and developed countries of the world. Stroke recovery is a sorted-out undertaking to help patients to boost all open doors for coming back to a dynamic way of life. There are several physiotherapy approaches for the stroke rehabilitation. Some physiotherapist’s treatment based on a single approach, whereas some used a mixture of components from …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 1, 2018 · pp. 21–27 Read article
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Molecular Docking Study: Targeting mycobacterium leprae ML2640 Protein Using Active Compounds from Coscinium fenestratum
Abstract: Objectives: Leprosy is an infectious disease in skin, peripheral nerve and mucosa of upper airway. Around 70% of this infection is caused by Mycobacterium leprae, which was discovered during1873. Multi drug therapy is used for the treatment, still multiple drug resistance and reactions has been reported among patients. Hence, this work focused on identifying bioactive compounds from Coscinium fenestratum that can target mycobacterium leprae ML2640 protein by in-silico approach. Method: …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 21–33 Read article
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Content-based Image Retrieval: Recent Trends and Techniques
Abstract: Due to the affordability of digital devices and the accessibility of internet technologies, a vast number of multimedia databases have been established for various applications. These image databases increase the need for efficient picture retrieval search strategies that meet user requirements. When compared to other systems, the content-based image retrieval (CBIR) system is one of the most widely used systems for retrieving images from enormous databases. Much work has been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 01–32 Read article
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Illuminating the Frontier of Drug Discovery: Unleashing the Power of Bioinformatics for Unprecedented Breakthroughs
Abstract: It takes a long time and a lot of effort to discover and develop new drugs, which necessitates extensive study and testing. With the help of computational techniques and data analysis, bioinformatics has grown to be a potent tool for drug discovery in recent years, allowing researchers to find new drugs faster. In this review, we examine the role of bioinformatics in drug discovery, including the use of ligand- and …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 1–10 Read article
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Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Contract and Feature Extraction of CBIR Method Using Soft Computing Techniques in Machine Learning
Abstract: There is expansion in size of picture securing and information capacity strategies and furthermore there is expansion in data set of pictures. Prior text-based depiction and manual comment of pictures were utilized for recovery of pictures that was a tedious errand. The need of great importance is to deal with the huge assortments through proficient frameworks called content-based picture recovery frameworks. For this situation visual items in the picture like …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 17–26 Read article