Search
Search Results
-
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...
-
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...
-
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....
-
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...
-
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)....
-
An Embodied Conversational Agent to Support Wellbeing After Injury: Insights from a Stakeholder Inclusive Design Approach
Embodied conversational agents (ECAs) are increasingly being included in digital health and wellbeing programs. Whilst initial evaluations of ECAs in...
-
DROP DASH: A Persuasive Mobile Game to Promote Healthy Hydration Choices Using Machine Learning
The increasing consumption of unhealthy beverages is a significant public health concern, contributing to a range of health issues. Recognized as...
-
Exploring the Influence of Persuasive Strategies on Student Motivation: Self-determination Theory Perspective
The role of persuasive strategies is crucial in designing systems to influence behaviour. Understanding how students are affected by these strategies...
-
Experiential Learning or Direct Training: Fostering Ethical Cybersecurity Decision-Making via Serious Games
Achieving secure cybersecurity systems requires a dual focus on technological aspects and human factors, both of which raise questions around ethical...
-
The Effect of Dark Patterns and User Knowledge on User Experience and Decision-Making
Dark patterns, aka deceptive designs, have become prevalent in the online environment. In this paper, we examined how dark patterns and knowledge of...
-
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome
Customizing persuasive conversations related to the outcome of interest for specific users achieves better persuasion results. However, existing...
-
Exploring Self-competition as a Viable Motivation to Promote Physical Activity
Persuasive systems design encompasses a wide range of concepts that may help users be motivated to achieve the targeted goal or behavior change. This...
-
A Simple Distributed Approach for Running Machine Learning Based Simulations in Intrusion Detection Systems
Intrusion Detection Systems (IDS) that use Machine Learning (ML) are a must-have for success protection when thinking of network traffic....
-
Planning of Urban Freight Delivery During Peak and Off-Peak Traffic Periods
Paper present influence of time windows during the day on efficiency of urban freight delivery. Field research was obtained to gathering freight...
-
Curricular Excursions on the Internet of Everything
Including dispositions and skills in computing curricula is beginning to take root in education circles. These two dimensions complement the...
-
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...
-
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...
-
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...
-
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...
-
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,...