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36 articles for “document relevance”
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A Hybrid Algorithm for Duplicate Document Detection
Abstract: Identification of duplicate document in a set of documents is a very big issue in information retrieval. In recent years, there are many researches going on and many methods have been proposed to detect and remove the duplicate documents but their relevance is still an issue. This paper proposed a hybrid algorithm based on word position by integrating n-gram searching technique. This experiment also uses inverted index to reduce the …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 24–34 Read article
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Alternate Web Query Generation and Refined Search Results Using Query Expansion
Abstract: AbstractThe sole objective of an information retrieval (IR) task is to facilitate the user’s requests and filter the information which the user has actually intended. Therefore, the principle task of an IR system is to understand the user’s inability and act on behalf of the user’s point of view because most of the web users are novice, unaware of the topic pertaining in the selected domains etc. There has been …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 1–8 Read article
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Policies on Emissions of Greenhouse Gases and Other Atmospheric Pollutants by the Railway Transport Sector
Abstract: This work seeks to identify, understand, and analyze laws and regulations from different European Union countries that focus on emissions of greenhouse gases and other atmospheric pollutants by the rail transport sector, both freight and passenger. The search to identify legislation was carried out through the use of artificial intelligence and, subsequently, an active search for documents relevant to the topic was carried out. During the research, data on the …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 14–18 Read article
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Semantic Web Mining: Survey and Analysis
Abstract: Data on World Wide Web is growing at a tremendous rate and information overload becoming a major problem. Due to this, finding the relevant documents and extracting useful information has become a challenging task. Semantic web mining deals with these challenges. A review of the existing semantic web mining approaches is presented in this paper. The paper explores different semantic web mining approaches and compares them that are based on …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 3, 2018 · pp. 20–31 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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AIducate: Your Smart Tutor–A Survey
Abstract: The ongoing “datafication” of our social reality has led directly to the emergence of new data-driven business models across various sectors, including education. As a result, the market for educational services is rapidly expanding. Educational technology (EdTech) companies are at the forefront, offering data-driven pedagogical solutions that are reshaping the landscape of learning. Despite the market's growth, few companies are harnessing the full potential of artificial intelligence (AI) and machine …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 25–30 Read article
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Retrieval Augmented Generation for Question Answering in Financial Documents
Abstract: In recent years, the integration of Question Answering (QA) with the Retrieval Augmented Generation (RAG) system has transformed to interact with numerous documents. It uses Natural Language Processing (NLP) techniques to improve accuracy and relevant responses derived from huge documents. RAG integrates the advantages of the retrieval and generation process, which allows systems to generate natural responses and extract context from multiple sources. The main reason to use RAG is …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 62–68 Read article
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Efficient Information Retrieval based on Name and Aliases from the Web using Anchor Text Mining
Abstract: AbstractInformation Retrieval (IR) plays an important role in search engines. The major task is to search and retrieve complete information from the web in an effective and efficient way and hence it is found to be an enabling technology to realize the full potential of it. IR has a vital role in our day to day activities and it is considered to have a most prominent role in the search …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 13–18 Read article
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Healthcare Management with QR Code Using Blockchain
Abstract: The existing healthcare management system is heavily reliant on paper-based records and centralized databases. This makes it difficult to securely share patient data between healthcare providers, resulting in delays in treatment and potential errors in diagnosis. Furthermore, the current system is prone to cyber-attacks and data breaches, putting patient privacy at risk. The lack of transparency also leads to distrust between patients and healthcare providers. A quick response (QR) code …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 36–42 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 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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A Review on the Regulatory Study for Implementation of Schedule-M Amendments in Pharmaceutical Industries in India
Abstract: A major regulatory change in pharmaceutical manufacturing industry in India is the introduction of the updated Schedule M (2023–2024). The aims to compliance the country's Good Manufacturing Practices (GMP) with international quality standards. The review evaluates the Schedule M amendments implementation strategies, industrial impact and regulatory relevance. Legislative texts, official notices, WHO GMP reports, ICH guidelines, guidance documents of CDSCO and peer-reviewed literature were all explored as part of the …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 2, 2026 Read article
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Topic Detection in Tweets using Hashtags
Abstract: Data clustering is a common technique used for topic detection and identification in text. In this paper we propose tokenizing of hashtags as an effective and efficient way of generating bags of words for tweets (text messages on Twitter). The document- term matrix generated using these terms is smaller and more relevant compared to the full text tokenization. Tweets from the 2018 Oscars event tagged with #oscars hashtag were collected …
Published in Recent Trends in Programming languages · Vol. 5, Issue 2, 2018 · pp. 6–14 Read article
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Optical/Handwritten Data Recognition
Abstract: For many years, optical character recognition (OCR) has been a hot topic. It's the process of breaking down a document image into its individual characters. Despite decades of intensive research, producing OCR with human-like skills is still a work in progress. The industries have long used localization and recognition of written characters for a number of applications. When working in a sterile environment, such as scanners or static settings, most …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 22–31 Read article
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Understanding India’s Sustainable Land Management Research Landscape: Productivity, Collaboration, and Emerging Themes (2016–2025)
Abstract: Sustainable Land Management (SLM) has emerged as a critical research domain in India due to increasing land degradation, climate variability, population pressure, and competing land-use demands. Understanding the evolution, structure, and impact of scholarly research in this field is essential for guiding future research and policy interventions. This study presents a comprehensive scientometric assessment of India’s SLM research output during the period 2016–2025. Bibliographic data comprising 1,560 records were retrieved …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 17–27 Read article
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Contextualising health-disaster risk reduction pillars for under-resourced rural secondary schools in Limpopo Province, South Africa
Abstract: School communities in under-resourced rural settings face a disproportionate burden of health-related disasters, including outbreaks, water and sanitation failures, food insecurity and compound events that disrupt learning and wellbeing. Yet school based disaster risk reduction (DRR) evidence in Southern Africa is uneven with limited empirically guidance tailored to the organisational and infrastructural realities of disadvantaged schools. Drawing on the Comprehensive School Safety Framework and the World Health Organization's Health Emergency …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 124–135 Read article
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Workflow Streamlining Through Shell Programming: A Review of Automation Techniques, Best Practices, and Applications
Abstract: The rapid advancement of modern computing systems and the increasing complexity of information technology infrastructures have created a growing need for efficient automation and streamlined system administration. Among the various automation technologies available, shell programming remains one of the most practical, flexible, and widely adopted approaches for managing repetitive tasks and optimizing operational workflows in Unix-like operating systems. Shell scripts enable administrators and developers to automate command execution, coordinate system …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 9–20 Read article
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Digital Enablers of Nanomedicine: Pharmaceutical Software Across the Lifecycle of Nanotechnology‑Based Drug Products
Abstract: Nanotechnology‑based drug products have rapidly evolved from laboratory concepts to clinically relevant therapies, yet their development is constrained by complex design variables, stringent quality requirements, and emerging regulatory expectations specific to nanomaterials. Pharmaceutical software now plays a central role in the nanomedicine lifecycle, enabling in silico design of nano‑carriers, simulation of nano–bio interactions, control of nanoscale quality attributes during manufacturing, and systematic tracking of safety signals in real‑world use. Integrated …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 11–16 Read article
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Integration of Decommissioning Risk Management Activities in the Safety Assessment Methodology of Facility
Abstract: AbstractDecommissioning activities in facilities is a particular case, which includes the stop of operation, dismantling of engineered barriers and changing of administration procedures. Despite that the operation of the facility is ceased, decommissioning processes have the potential to create hazards in the facility. Therefore, in order to build confidence for the safety of decommissioning activities, safety assessment and risk management shall be studied. Safety assessment documents, prepared by the operators, …
Published in Journal of Nuclear Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 1–8 Read article
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Enhancing MRO Documentation Through Automated Translation of Non-Standard English to Simplified Technical English Using Offline LLMS
Abstract: Maintenance, Repair, and Overhaul (MRO) operations rely heavily on accurate and consistent documentation to ensure operational safety and compliance. However, the presence of non-standard English in technical documents often leads to ambiguity, misinterpretation, and inefficiencies in maintenance processes. This study presents an innovative solution that leverages an offline Large Language Model (LLM) to automatically translate non-standard English in MRO documents into standardized and technically precise language. By integrating predefined linguistic …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 9–15 Read article