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249 articles for “suggestion tool”
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E-Voting System: (A Tool for General Elections)
Abstract: AbstractThe usage of ICT is increasing by leaps and bound all over the world .The fast and deep impact of the internet is seen in each and every aera of the mankind in this world . The most of the governments all over the world are keen to use electronic medium for all types of services for their citizens which is called e-Governance. India is also a front runner to …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 2, 2014 · pp. 19–25 Read article
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Malware Detection Using Data Mining
Abstract: In the digital world, everything is getting digitalized. Mobile devices, such as smartphones and handsets, are becoming increasingly popular, increasing criminals' appeal as targets for mobile malware. Consequently, in order to properly identify mobile malware, an antimalware detector plays a significant role. Prior to this, we concentrated on developing a behavioural analysis based on an ontology. To learn more about mobile malware, to assist end users in using their mobile …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 3, 2022 · pp. 9–13 Read article
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Digital Literacy: A Faculty-Based Comparative Study of Research Scholars at the University of Rajasthan
Abstract: This study explored how much “research scholars in the department of Social Science and Arts of the University of Rajasthan, Jaipur”, understand and use digital technologies. The findings based on 84 questionnaires show that scholars of the Social Science faculty have a relatively high digital literacy compared to those in the Arts faculty. Most of the respondents indicated that they were skilled in using open-access sources. However, about a quarter …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 34–43 Read article
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Development of Semantic Ontology for Tourism Information Using Protégé
Abstract: The World Wide Web is widely used as a medium for information exchange but due to non semantic nature of HTML its application is limited. The current web can only display information in a simple manner. Researchers are working on the extension of the World Wide Web which will be intelligent and enable us to exchange content with the applications and websites. Target of Semantic web research is to allow …
Published in Current Trends in Information Technology · Vol. 3, Issue 2, 2013 · pp. 11–15 Read article
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Productivity in Construction and Quantity Surveying Functions: Assessing User Satisfaction with the Effectiveness of Software Design
Abstract: Information technology has had a significant impact on the productivity of business operations and processes in construction. Quantity surveyors are responsible for managing labour, time, and cost in construction projects, with the primary aim of achieving high levels of productivity. Given the transformative potential of information technology, the professional services of quantity surveyors have been digitalized to meet the demands of construction stakeholders through the development of different software packages. …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 1, 2025 · pp. 24–35 Read article
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Design of Maritime Empennage Unmanned Aerial Vehicle (UAV): A Comprehensive Study
Abstract: This project presents a comprehensive study on the design and development of a maritime empennage unmanned aerial vehicle (UAV) tailored for operations in coastal and naval environments. The primary objective is to engineer an efficient, stable, and mission-adaptable UAV with an optimized empennage configuration that enhances aerodynamic performance and control in maritime conditions. The study involves a systematic design process encompassing mission requirement analysis, conceptual and preliminary design, aerodynamic modeling, …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 18–24 Read article
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Product Recommendation System Powered by Artificial Intelligence
Abstract: The recommendation system is a mysterious tool that analyses a group of users and suggests products they might like. The main purpose of the recommender system is to generate useful recommendations to a bundle of users or items or products that might attract them. Recommendation for books on Amazon, or movies on Netflix, or some products on other web sites are real-world examples of functions of industry-strength recommender systems. Such …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 1, 2023 · pp. 9–14 Read article
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Data-driven Comprehensive Predictive Model Leveraging Market Insights and Topographical Factors for Crop Productivity and Profitability
Abstract: For global food security and economic expansion, the agricultural industry is essential. However, farmers face numerous challenges such as unpredictable weather patterns, soil degradation, and market volatility, which affect crop productivity and profitability. This article proposes a prediction model that leverages market trends and topographical factors to optimize crop productivity and maximize profits. The model is designed using machine learning techniques and takes into account variables such as soil type, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 21–30 Read article
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Effective Use of Social Media in Libraries
Abstract: AbstractThe article entitled effective use of social media (SM) in libraries deal with different aspect of SM, starting from the pre internet age to Web 4.0. It discusses how the modern libraries can take note of the changing canvas of SM to provide effective library services. Main features of the types of social media such as blogs, Facebook, wikis, etc. is described. The application of theses SM tools for promoting …
Published in Journal of Advancements in Library Sciences · Vol. 3, Issue 2, 2016 · pp. 19–24 Read article
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Decoding ‘I Do’s and ‘I Don’ts’: Exploring the Surge in Indian Divorce Rates
Abstract: The research explores the evolving dynamics of marriage and divorce in India, highlighting the rise in divorce rates due to increased stress, lack of bonds, and female independence. The study argues that women's financial self-sufficiency has led to a decrease in their willingness to tolerate unsatisfactory or abusive marriages. The research also emphasizes the influence of urbanization, Westernization, and changing attitudes toward marriage as factors contributing to the increase in …
Published in Recent Trends in Social Studies · Vol. 1, Issue 1, 2024 · pp. 17–24 Read article
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Mapping the Literature on Digital Payment: A Comprehensive Review and Bibliometric Analysis
Abstract: This study essentially performs a comprehensive and in-depth analysis of the current research on digital payment systems. It examines and evaluates 346 journal papers from reliable sources like Scopus and Web of Science that were published between 2015 and 2023. The study intends to give readers a thorough grasp of the state of the art in the field of digital payments research, pinpoint new directions, and emphasize important issues. Among …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 41–59 Read article
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Role of Inflammatory Markers and Lipid Abnormalities in Glycemic Dysregulation Among Type 2 Diabetics
Abstract: Background: Diabetes mellitus (DM) is a chronic metabolic disorder characterized by systemic inflammation and associated with various complications in multiple organs. Type 2 diabetes mellitus (T2DM) specifically involves insulin resistance, hyperglycemia, and inflammatory responses. This study investigates the levels of various inflammatory markers and their correlation with glycaemic control in T2DM patients.Objective: To evaluate the levels of inflammatory markers (including NLR, PLR, SII, SIRI, CRP, IL-6, TNF-α, TGF-β, MCP-1, IL-4, …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 2, 2025 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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A MODEL DRIVEN APPROCH FOR REQUIREMENTS ENGINEERING OF INDUSTRIAL AUTOMATION SYSTEM
Abstract: A model-driven approach to developing multiple, consistent user interfaces for your application. An Abstract UI (AUI) model constrained to dialogue flow maintains the fundamental similarities of different user interfaces.. In particular, we will consider how to customize the User Interface at his AUI level by deriving and customizing dialog structures that take into account the limitations imposed by the front-end platform or novice user. The generated user interface is integrated …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 3, 2022 · pp. 1–4 Read article
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Recent Advances in Nanotechnology-Assisted Liquid Crystal Biosensors for Sensitive and Naked-Eye Detection of Antibiotics
Abstract: The widespread use of antibiotics in healthcare, veterinary medicine, agriculture, and aquaculture has resulted in increasing levels of antibiotic residues in food products and environmental samples, posing significant risks to human health and contributing to antimicrobial resistance. Conventional analytical methods, including high-performance liquid chromatography (HPLC), liquid chromatography–mass spectrometry (LC–MS), enzyme-linked immunosorbent assay (ELISA), and electrochemical techniques, offer excellent sensitivity but require sophisticated instrumentation, skilled personnel, and extensive sample preparation. In …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 Read article
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Role of W.A.R. Score in Predicting Wound Infection
Abstract: In clinical practice, chronic wounds are a major difficulty that are frequently made worse by the infection risk. However, the lack of precise standards for evaluating the risk of infection and establishing the need for and length of time for systemic antibiotics leads to the overuse and abuse of these drugs, which increases the risk of side effects and the development of antibiotic resistance. To close this gap, the development …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 33–38 Read article
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Impact of E-Learning on Secondary Education in Patna District: The Role of Teachers in Supporting Higher Secondary Students during the COVID-19 Crisis
Abstract: This study assesses the impact of e-learning on secondary education in the Patna district during the unprecedented COVID-19 crisis, focusing on the vital role of teachers in supporting higher secondary students. Utilizing a quantitative survey design with a sample of 150 higher secondary teachers from various schools in Patna, the research identifies both the benefits and significant challenges of the rapid transition to digital education. The findings confirm a major …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 28–32 Read article
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Artificial Intelligence in Education: Empowerment or Cognitive Dependency? A Critical Analysis
Abstract: Artificial Intelligence (AI) has become an important part of modern education, changing how students learn, practice, and complete academic tasks. AI-based tools such as intelligent tutoring systems and generative models improve personalization, speed, and accessibility of learning. However, growing concerns suggest that excessive dependence on AI may reduce deep cognitive engagement and critical thinking. This paper critically examines whether AI acts as a tool for academic empowerment or leads to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Protease activated receptor-2 as an imperative target in nociceptive responses: A minireview
Abstract: PARs (protease-activated receptors) are a family of seven-transmembrane G-protein coupled receptor for proteases from circulation, inflammatory cells and endothelial tissues. To date, four members of PAR family have been cloned, namely PAR1 to PAR4. This minireview focuses on role of PAR2 receptor in inflammatory and nociceptive processes. Numerous studies documented for activation of PAR2 receptors through several proteases suggests its role in pain and inflammation. However, mechanism of PAR2 underlying …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 1, Issue 1, 2011 · pp. 8–13 Read article
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Tribological Behaviour of En 31 Bearing Steel Against Altin, Alcrn and Crn Coated High Speed Steel
Abstract: Mechanical parts like bearing in modern machining systems are often subjected to wear and friction causing high heat generation at the interacting zones leading to reduced lifecycle and increased energy consumption of machinery. In this investigation friction and wear characteristics of bearing material EN31 steel against the CrN, AlCrN and AlTiN deposited on high speed steel as counter material is presented. Tribological tests are conducted on a pin on disc …
Published in Journal of Polymer & Composites · Vol. 9, Issue 2, 2021 · pp. 97–108 Read article