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733 articles for “relevant”
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Polymer Chemistry-Guided Development of Biomimetic Composite Scaffolds
Abstract: Polymer chemistry plays a fundamental role in advancing biomaterials for anatomical tissue engineering, particularly in the design of composite scaffolds that replicate the intrinsic characteristics of native tissues. The regeneration of damaged tissues, especially within anatomically complex structures such as bone, cartilage, and skin, necessitates biomaterials that closely emulate the hierarchical architecture and biological functions of native extracellular matrices (ECMs). The capacity to replicate both mechanical and biochemical cues of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 7–13 Read article
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Smart Service Solutions AI: AI-driven Multimodal Search for Home Appliance Support
Abstract: The global home appliance services market is projected to reach USD 1,203.11 billion by 2032, driven by smart household appliances. Essential services like installations, maintenance, and repairs ensure optimal performance and longevity, leading to higher customer satisfaction and loyalty. The service station partner ecosystem is crucial for ongoing support and profitability. However, challenges such as identifying the right manuals, finding relevant parts, and providing accurate instructions must be addressed to …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 27–43 Read article
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Vedic Chemical Insights as Precursors to Modern Green and Sustainable Chemistry: An SDGAligned Perspective
Abstract: This paper explores the chemical insights found in ancient Vedic texts and their relevance to contemporary green and sustainable chemistry. It examines the alchemical traditions described in Vedic literature, such as Rasaśāstra, which integrate material and spiritual aspects of transformation. The study investigates how ancient chemical processes align with modern principles of green chemistry, including waste reduction, use of renewable resources, and energy efficiency. By analyzing the parallels between Vedic …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 36–48 Read article
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Improving Efficiency of the Focused Web Crawler by Link Score Calculation
Abstract: AbstractThe overwhelming size of the Web enables continuous support and recurring update of Web based information retrieval systems. The Crawler can narrow down the entire process to allow the hyperlinks in Web pages to download a part view of the Web. Meanwhile few systems absolutely depend on crawlers that exclusively crawls the web, and extract the topic specific collections. A focused crawler has the tendency to accumulate particular topics and …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 1, 2013 · pp. 16–22 Read article
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An Implementation of Extracting Data and Mining Extracted Data from Web Pages
Abstract: Web contains various information of particular object, which could be relevant as well as non-relevant are called as data records. It is necessary to extract relevant information from web pages. Web data extraction is the system which is used for extracting data from various web pages. Data present on web pages are in un-structured format. In the process of data extraction, we convert un-structured data into structured format. This paper …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 1, 2014 · pp. 9–12 Read article
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An Approach for Similarity Matching and Comparison in Content Based Image Retrieval System
Abstract: Today, in the age of images and digitization relevant retrieval is quite a topic of research. With every new day thousands of pictures are getting added into the database making it a high dimensional data set. Therefore, from a high dimensional dataset to get a set of relevant images is quite a cumbersome task. In this paper, experiment has been performed on the trademark images. Trademark is a very important …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 57–63 Read article
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Term Frequency Inverse Document Frequency
Abstract: Recent advances in computers and technology have resulted in an ever increasing set of documents that will be difficult and time-consuming for the user to retrieve useful information from them. The need is to find a set of data of high relevance from the given document. In this paper, we will apply Term Frequency Inverse Document Frequency (TF-IDF) to determine what set of words in a collection of written text …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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Suitability of Various Alternative Sources of Energy for Pollution Control: A Review
Abstract: Energy is one of the most important resource for mankind. Developed societies use energy resources for agriculture, transportation and information technology. Today, the energy crisis becomes one of the global issues confronting us. Due to the increasing awareness of the depletion of fossil fuel and environmental issues, various alternative sources of energy like biofuels, solar, tidal, wind energy etc. become more and more attractive in the recent years. Production of …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 7, Issue 3, 2020 · pp. 49–67 Read article
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Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback
Abstract: This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients' needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item's nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 59–83 Read article
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A Narrative Review on an Insight of Herbal Origin Drugs and Their Traditional Medicine Formulations for the Treatment of Nephrolithiasis
Abstract: Ethnopharmacological relevance. There is no satisfactory treatment at present to cure or prevent kidney stone recurrences using predictable medicines. There are several marketed formulations in Ayurveda, Unani and Homeopathic Traditional Medicines (TM) have potential lithotriptic effects and clinical applications. In India, prevalence rates of complementary and alternative medicine (CAM) for the treatment of nephrolithiasis are being estimated at 63.9%. Aim of the review This review article intended to scientifically documented …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 1, 2024 · pp. 14–30 Read article
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Monitoring and Modeling of Atmospheric Change Indices In Parts of Imo State Using GIS, MATLAB and ANN
Abstract: Geographic Information System (GIS) and Matrix Laboratory (MATLAB) Models were used to study air quality in parts of Imo State. Primary data were obtained by conducting relevant analysis using standard instrumental methods on open-air rainwater samples collected in the dry and the rainy seasons for two consecutive years. GIS showed that the pollutants were present throughout the year. Artificial Neural Network (ANN) of MATLAB 2015 was used to represent data …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 25–74 Read article
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Recipe-Fusion: Multimodal Food Recipe Recommendation System
Abstract: The food recipe recommendation system using data science is a software solution designed to help users discover new and delicious food options based on their food history and other relevant data. This system recommends various recipes based on the input given by the user and it helps to filter out the recipes on course type, diet type, and nature of the food (including non-veg, and veg) using a recommendation technique. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 82–91 Read article
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Exploring Adaptive Acoustics for Educational Spaces
Abstract: Acoustics play a major role in educational buildings as these have high density, occupying classrooms, lecture halls, conference rooms, auditoriums, etc., engaged by students for several activities. Due to their multi-functional nature, architectural studios in particular require larger spaces and these often accommodate furnishing such as drafting board/table, screens and podium. The considerable volume of these studios can lead to compromised acoustical comfort, which may result in issues like echoes …
Published in International Journal of Architectural Design and Planning · Vol. 2, Issue 2, 2024 · pp. 18–37 Read article
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Analysis and Design of Pre-Engineering Building Structure by Using Staad Pro Software
Abstract: The analysis and design of a Pre-Engineered Building (PEB) were conducted using STAAD Pro software, alongside manual calculations for accurate load estimation, to ensure the building's compliance with relevant engineering standards and codes. The evaluation took into account multiple load types, including dead loads, live (imposed) loads, wind loads, and relevant load combinations to replicate actual conditions the structure might face during its lifespan. This comprehensive approach provided a deep …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 1–7 Read article
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Strategies for Increasing User Engagement in Academic Libraries
Abstract: Traditionally viewed as repositories of books, libraries are now evolving into dynamic community hubs. But even with this change, many libraries are dealing with a drop in patronage in a world that is becoming more digital.libraries face declining user engagement in an increasingly digital world. This research investigates effective strategies to revitalise library engagement and ensure its enduring relevance. Drawing from professional experience in an educational institution's library, it is …
Published in International Journal of Sustainability · Vol. 1, Issue 2, 2024 · pp. 1–5 Read article
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Exploring Technologies for Extractive Text Summarization: A Review of Transformer and Reinforcement Learning Models
Abstract: In recent years, the size of information on the Internet has increased exponentially. Therefore, a solution is needed to transform large amounts of raw data into useful information the human brain can understand. Automatic Text Summarization (ATS) is a part of Natural Language Processing (NLP) that aims to take long texts and shorten them, keeping the most important information in a clear and easy-to-understand way. This research report explores methods …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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Discovery Tools and Services for Libraries: Transforming Access to Knowledge in the Digital Age
Abstract: The digital transformation of libraries has led to the emergence of discovery services as pivotal tools for enhancing resource accessibility, usability, and research efficiency. This article explores the evolution, functionality, and impact of discovery services in academic and public libraries. Unlike traditional online public access catalogues (OPACs), discovery services consolidate diverse information sources—such as books, journals, databases, institutional repositories, and open-access content—into a single, user-friendly interface. By integrating advanced technologies …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 51–56 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Enhanced Diabetes Prediction: A Comparative Study of Machine Learning Models
Abstract: Excessively high blood glucose levels lead to diabetes, a condition that can be better managed with early detection, resulting in a longer life and improved health. Machine learning models are essential tools in diagnosing diabetes, especially when trained on appropriate and relevant datasets. In this study, a combination of ensemble methods and nine distinct machine learning algorithms were utilized to develop a predictive model for diabetes diagnosis based on a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Influence of Static Sequences on the Thermal Behavior of Eco-Friendly Pineapple/Ramie Composites
Abstract: The increasing demand for sustainable and environmentally responsible materials has driven the exploration of natural fiber-reinforced polymer composites as potential alternatives to conventional synthetic materials. Among various natural fibers, pineapple leaf fiber (PALF) and ramie fiber are notable for their complementary characteristics—PALF offers excellent insulating behavior and lightweight structure, while ramie provides high thermal stability and strength. In the field of Eco-friendly composite product manufacturing, the processing temperature holds significant …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 732–742 Read article