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61 articles for “Website Analysis”
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Emerging Technologies Big Data and Cloud
Abstract: Cloud computing is a effective and rising generation to carry out large and complicated computing. It affords a such an surroundings that's reliable & fault tolerant to haven massive information disbursed control systems. Big statistics refers back to the incapacity of vintage statistics architectures to address new statistics units efficiently. In the current times, exceptional boom has been determined in massive statistics domain, generated thru cloud computing. Big statistics remedy …
Published in Current Trends in Information Technology · Vol. 11, Issue 2, 2021 · pp. 16–22 Read article
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Trend of LIS Education in Abroad
Abstract: AbstractIn the current world scenario, where the whole world has become a digital village, students are more comfortable using digital tools rather than looking into books. Instead of looking for information in books like encyclopedia’s today’s generation is more dependent upon websites like Yahoo, Google and OPAC etc. The paper analyzes the nature and extent of major curricular change in LIS education. Multiple methods were used to collect data, including …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 1, 2015 · pp. 30–33 Read article
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Change Detection of Land Use/Land Cover in Upper Ganga Canal Command, India, Using Arc-GIS Tools
Abstract: The rapid growth of urban population in India is a cause of concern among the country’s urban and town planners for efficient urban planning. The drastic growth of urban areas has resulted in sharp land use and land cover changes. In recent years, the significance of spatial data technologies, especially the application of remotely sensed data and geographical information system (GIS) has been widely used. The present study investigates the …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 26–32 Read article
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Web-based Marketing of Information Products and Services in Arts and Science University Libraries: A Study
Abstract: AbstractThe paper aims to access the attitude of library professionals towards web-based marketing of information products and services in the university libraries. A structured questionnaire was administrated collecting data from eight arts and science university library professionals in Tamil Nadu. Statistical method includes for data analysis and five-point Likert scale used to measure the marketing attitude of the respondents. Findings showed that the respondents web-based marketing attitude was positive; majority …
Published in Journal of Advancements in Library Sciences · Vol. 3, Issue 1, 2016 · pp. 62–73 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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Assessment of Soil Erosion Using USLE Technique: A Case Study of Mysore District, Karnataka, India
Abstract: The present study has been conducted to assess the soil erosion in Mysore district in Karnataka, India. The most widely used Universal Soil Loss Equation (USLE) method has been adopted for the analysis. The USLE method performs based on the five parameters such as, rainfall factor, soil factor, length and slope factor and conservation practice factor. Each necessary numerical data have been obtained from the concerned organization and satellite images …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 3, 2015 · pp. 45–51 Read article
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Comparative Study of Classifiers for Monitoring Fake Reviews of Online Products Using Opinion Mining
Abstract: With the increasing popularity of e-commerce, online dealers seek reviews or opinions from customers regarding the quality and service of their sold products. As the number of customer reviews grows rapidly, potential buyers face difficulties in reading and assessing them to make informed decisions. Unfortunately, some review websites include fake positive reviews, either added by the product companies themselves or submitted by users who have not made a purchase. This …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 52–59 Read article
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Survey on Web Analytics
Abstract: AbstractWeb analytics is the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. However, Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research, and to assess and improve the effectiveness of a website. Web analytics applications can also help companies measure the results of traditional print or broadcast advertising …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 20–24 Read article
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Survey of Consumer Preference Towards E-commerce
Abstract: E-Commerce has undergone a tremendous shift in the age of globalization. Most corporate organizations have been using this technology to sell their various products for the past 10 years. For consumers in developing countries like India, online shopping offers a radically different buying experience. One of the tools available for online shopping is the facility. Numerous shoppers are attracted by the substantial discounts and offers made by the online vendors. …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 2, 2024 · pp. 9–15 Read article
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AI-Resistant Video CAPTCHA System
Abstract: CAPTCHA, which stands for Completely Automated Public Turing test to tell Computers and Humans Apart, is a tool that separates human users from automated bots. It is commonly used in web applications to stop bulk registrations, spam submissions, credential stuffing, and misuse of online services. Typically, CAPTCHAs involve recognizing distorted text, selecting images, or transcribing audio. These tasks are easy for people but challenging for automated programs. However, recent advances …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Detection of Phishing Website Using URL
Abstract: Phishing attacks are one of the greatest threats to online security, where fraud websites deceive users into giving out sensitive information. Traditional methods of detection, such as blacklists and heuristic-based systems, often fail in identifying newly created or sophisticated phishing websites. This study proposes an intelligent phishing website detection system using Convolutional Neural Networks (CNNs) in analyzing URLs and associated features. Using labeled URLs, the system employs such attributes such …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 10–15 Read article
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Evolution of CSS Frameworks: From Bootstrap to Utility-First Design
Abstract: CSS frameworks have become integral to modern web development, offering developers predefined styles and components that simplify the design process, ensure visual consistency, and accelerate deployment. Over the years, these frameworks have evolved significantly: from traditional component-based architectures, such as those seen in Bootstrap and Foundation, to more flexible utility-first methodologies like Tailwind CSS. This study explores the evolution of CSS frameworks by highlighting the contrasting approaches of these widely …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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Open E-Journals in Library and Information Science: An analysis of its Facilities and Features
Abstract: ABSTRACTThe development in information technology has made drastic changes in the way the information is collected, stored, retrieved, and distributed. E-Resources are one of the products of information and communication technologies. The revolution in information and E-Resources is registering significant changes everywhere and have been playing substantial role in library and information systems ever since its inception. The advancement of E-Resources during recent years has given libraries a powerful new …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 2, 2012 · pp. 30–34 Read article
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MEASUREMENT OF FARM EFFICIENCY IN AGRICULTURAL SECTOR OF INDIA:A STUDY
Abstract: While the non-parametric production function is based on linear programming, the parametric production function is estimated using stochastic frontier analysis (SFA). The efficiency is assessed using a non-parametric technique known as Data Envelopment Analysis (DEA) (Charnes, Cooper, & Rhodes, 1978).. The primary benefit of the DEA technique is that it circumvents certain drawbacks of the parametric approach by requiring simply a little portion of a priori assumptions about the functional …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 Read article
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Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
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Exploring the Role of Ginkgo biloba in Investigating 7L1X in Triple-Negative Breast Cancer Through Integrative Bioinformatics
Abstract: Objectives: Triple-negative breast cancer is a very dangerous form of cancer that affects mostly Hispanic and African American women above the age of 40. It represents approximately 15–20% of the global cancer incidence. This experiment aims to investigate the use of Gingko biloba in the treatment of the disease triple-negative breast cancer. Methods: We use a variety of online tools, and websites, including the Indian Medicinal Plants, Phytochemistry, and Therapeutics …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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Modeling the Novel Coronavirus Disease (COVID-19) as Hidden Markov Chains
Abstract: The Hidden Markov Model has over the years been an appropriate method for modeling diseases such as HIV AIDS, heart failure, and so on. With the ongoing pandemic affecting Nigeria by being responsible for 2,745 death cases out of 207,616 confirmed cases as of October 10, 2021, the need to study an important parameter of COVID-19, the case fatality rate by building a model and estimating the case fatality rate …
Published in Research & Reviews : Journal of Statistics · Vol. 11, Issue 4, 2022 Read article
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Analyzing Potential Leads Data to Improve Marketing Strategies
Abstract: To develop a lead scoring model using multiple machine learning models and create a user-friendly web application, the first step is to clearly define the problem and collect relevant data from various sources such as CRM, website, social media, email campaigns, etc. After cleaning and pre-processing the data, identify the essential features that can affect the lead score and split the data into training and testing sets. Next, select a …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 18–25 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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A Comparison of NoSQL and Relational Database Management Systems (RDBMS)
Abstract: The new aspirant is a non-relational abstracts abundance which is widely deployed in large website environments where there is less reliance on relational databases, leading to enhanced performance in the field of data retrieval. NoSQL are additionally accepted as non-relational databases adulation relational databases and are now acclimated by the world's bigger organizations such as Facebook, Amazon, and Google. Both models are acceptable in specific areas and for specific applications. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 33–37 Read article