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Simulation and Analysis of Cyber-Attack on Modbus Protocol for Smart Grids in Virtual Environment
Smart grid capabilities have grown significantly in recent years. The smart grid provides advanced real-time handling of faults, advanced automatic...
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A Multi-clustering Unbiased Relative Prediction Recommendation Scheme for Data with Hidden Multiple Overlaps
This paper presents a recommendation system designed for shortening and streamlining hiring processes on both candidate and recruiting company parts,...
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Smart Workplace Past Covid-19: Perceived Challenges and Potential Smart Solutions for University Work Environment
The COVID-19 has reshaped work environment by introducing a lot of challenges and transitions in the way we work. However, there are still inadequate...
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Security Gaps in the Mobile Money System in Rwanda: Challenges, Risks and Mitigation
With the increase in the number of mobile money users and the rise of mobile money transactions over time, underlying security flaws have been noted...
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Comparative Analysis of Flow and Cardano Blockchains: Navigating Adoption Challenges, Computing Techniques and Implications for the Blockchain Landscape
This research compares and contrasts the capabilities, adoption barriers, and computing processes of the Flow and Cardano blockchains in detail. We...
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The Impact of Utilising the Amazon AWS Hybrid Deployment Model on Assuring a Secure Migration of a Commercial Web Application into the Cloud
Cloud computing has brought substantial changes to businesses, particularly small and medium-sized enterprises (SMEs), by streamlining IT resource...
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Using BI-RADs Breast Lesion Features-Based Classification for Breast Detection in Ultrasound Images
The death rate among women increases day by day and cases of it increases every year in world. The breast radiologists are used various imaging...
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Predicting Suicide Cases Using Deep Neural Network
Suicide is a critical issue in contemporary society, giving rise to significant societal and economic ramifications. To mitigate these adverse...
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A Model of Heterogeneous Display Component for Cyber-Physical Systems Simulation
Cyber-Physical Systems (CPSs) modeling consists to release an executable system model. The modeling process is composed of steps where each step is...
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A Numerical Approach for the Fractional Laplacian via Deep Neural Networks
In this paper we consider the linear fractional elliptic problem with Dirichlet boundary conditions on a bounded and convex domain D of...
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Cyber Safety Awareness Through a Massive Open Online Course (MOOC): Community Engagement Knowledge Transfer
The world is becoming increasingly digitised, and information communication technology (ICT) has become integrated in every part of our lives....
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Impact Factor Game Scoring Model for Positive Emotion Game Design
Positive emotional games can have a significant impact on gamers because they not only provide entertainment but also have the potential to promote...
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Need for Cultural Sensitivity in the Design and Development of Technology to Aid in Dementia Care: A Review of Literature
This prospective paper delves into the critical necessity of integrating cultural sensitivity and adaptability into the design of technology,...
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Sentiment Analysis of Post-COVID-19 Work-From-Home Culture: A Literature Review
The COVID-19 pandemic significantly affected various aspects of society, causing a shift in the nature of work. Particularly, the transformation of...
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Enhancing Email Urgency Reply Prediction with ATAN-Transformer Fusion
In the contemporary landscape of burgeoning email communication, effective sorting and prioritization present formidable challenges. Precise...
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Transforming Medical Waste Management Through IoT and Machine Learning: A Path Towards Sustainability
The systematic process of detecting, gathering, and disposing of all waste in a specific manner so as not to jeopardize human or environmental life...
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Analyzing the Effect of Cyber Attacks on Zoned-Microgrid’s Voltage Stability
A 13-bus microgrid model with one VSI inverter and three PQ inverters serves as a case study to illustrate the zone dedication approach's...
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Investigating Machine Learning Techniques Used for the Detection of Class Noise in Data: A Systematic Literature Review
Data provides valuable information and insights and assists in making strategic decisions. The quality of the data is distorted by noise, which...
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Prediction of Failure in Scania Truck Due to Air Pressure System Failure
This paper addresses the prediction of failures in the air pressure system of Scania trucks to minimize associated operating costs. A custom ensemble...
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A Genetic Algorithm-Based Heuristic for Rumour Minimization in Social Networks
Rumours in online social networks can significantly damage the ecosystem of the society. It is important to timely identify and control the rumor...