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OntoFD: A Generic Social Media Fake News Ontology
Fake news has increased dramatically in recent years as a result of social media’s rapid and explosive expansion. To lessen their negative...
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Discovering Relationships Between Heterogeneous Declarative Map**s for RDF Knowledge Graph
Nowadays, Knowledge Graphs (KGs) are extensively used in companies, they are created using different techniques, map** languages among them, and...
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Execution Planning for Aggregated Search in the Web of Data: A Free-Metadata Approach
An aggregate search system in the web of data makes it possible to search for pieces of information that may not exist entirely in a single source....
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A Floating-Point Numbers Theory for Event-B
Static type checking helps catch errors in manipulating variables values early on, and most specification languages, like Event-B, are strongly...
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Localizing Non-functional Code Bugs in User Interfaces Using Deep Learning Techniques
In the context of modern business digitization, non-functional code issues in User Interface (UI) exert a substantial impact on User Experience(UX)....
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Lightweight Language Agnostic Data Sanitization Pipeline for Dealing with Homoglyphs in Code-Mixed Languages
With the rise in hate speech on social media, numerous Natural Language Processing (NLP) techniques like text classification have been employed for...
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A Knowledge Engineering Framework Addressing High Incidence of Farmer Suicides
This study addresses the pressing issue of farmer suicides in India, a problem that has escalated significantly since 1995, with over 0.3 million...
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Spoken Language Identification System Using Convolutional Neural Networks
Spoken language identification has gained a lot of importance in the last decade with the advent of text-to-speech systems and intelligent...
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An Empirical Analysis of the Consonantal Phonemic Patterns and Characteristics of English Spoken in India
In India, there are a large number of native languages spoken with multiple dialects, allowing the speakers to share various common and distinct...
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Optimized Latent-Dirichlet-Allocation Based Topic Modeling–An Empirical Study
Topic modeling is an unsupervised learning based mechanism used to uncover hidden topics from the voluminous corpus generated out of social media,...
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Multi Speaker Activity Detection Using Spectral Centroids
In recent years, there has been a notable increase in the demand for reliable and effective methods in the domain of audio processing, specifically...
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Hands in Harmony: Empowering Communication Through Translation
Over the years, sign language has developed to be a remarkable advancement. Unfortunately, there are specific effects associated with this language....
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The Impact of Tamil Python Programming in Wikisource
Wikipedia, Wiktionary, Wikisource, Wikinews, Wikiquote, Wikiversity, Wikitour, Meta-Wiki, and Wikimedia are all Wikimedia projects that provide...
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Sarcasm Detection in Tamil Code-Mixed Data Using Transformers
Social media analytics has been increasingly gaining popularity due to the extensive amount of customer data it offers, benefiting businesses of all...
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SamPar: A Marathi Hate Speech Dataset for Homophobia, Transphobia
Marathi-speaking communities, especially those experiencing a change of heart after Article 377 was repealed in India, have expressed their...
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Blockchain-Based Framework for Healthcare 5.0
This article presents a Blockchain-based data-sharing approach that offers reliability, integrity, and decentralization properties of Blockchain,...
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Optimized BERT Model for Question Answering System on Mobile Platform
In Natural Language Processing (NLP), question-answering systems are a classic problem, yet they pose several open challenges. After the pandemic...
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VLSI Implementation of Reconfigurable Canny Edge Detection Algorithm
Real-time video and image processing are used in various industrial, medical, consumer electronics and embedded device applications. These...
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From Silos to Unity: Seamless Cross-Platform Gaming by Leveraging Blockchain Technology
By exploring the impact of blockchain technology within cross-platform gaming, this study confronts pivotal hurdles including asset ownership, player...
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Exploring Approaches to Detection of Anomalies in Streaming Data
Numerous methods have been proposed to detect anomalies in data streams. In this work, a comprehensive study of performance of AutoEncoders and...