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Global Stability of Nonlinear Congestion Control with Time-Delay
In recent years large strides have been taken in analytical approaches to network congestion control. These methods, originating in the academic...
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Models and Methods for Analyzing Internet Congestion Control Algorithms
Congestion control in the Internet was introduced in the late 1980s by Van Jacobson [9]. Jacobson’s algorithm which is implemented in the transport...
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Equilibrium Statistical Mechanicsof Network Structures
In this article we give an in depth overview of the recent advances in the field of equilibrium networks. After outlining this topic, we provide a...
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A Tractable Complex Network Model Based on the Stochastic Mean-Field Model of Distance
Much recent research activity has been devoted to empirical study and theoretical models of complex networks (random graphs) possessing three...
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Virtual Avatar Movement Veracity and its Effect on Social Interaction in Virtual Reality
The market for Virtual Reality (VR) products is growing rapidly, and we expect an important use case will be social interaction. This work...
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Infrared Thermography to Assess the Upper Body Temperature of a Person with Poland Syndrome Type II After a Training Plan
Poland syndrome is a medical condition known by partial or complete absence of the pectoralis muscle. Since this condition has a low prevalence in...
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A New E-Commerce Model Suggestion of Agricultural Products
This study aims to create an e-commerce application that enables farmers to sell their products directly to their customers without resorting to...
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Bibliometric and Visualized Analysis of Scientific Publications on Blockchain Technology in Cybersecurity
Blockchain technology in cybersecurity has the potential to significantly alter and enhance evidence management, investigation, and cybersecurity....
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Analyzing the Influence of Processor Speed and Clock Speed on Remaining Useful Life Estimation of Software Systems
Prognostics and Health Management (PHM) is a discipline focused on predicting the point at which systems or components will cease to perform as...
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An Investigation into AI-Generated Art Through GANs and ML Neural Network
Art has always been the primary means of human expression, aided by various tools humans were equipped with. Amongst recent tools and advances in...
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Identification of A.I. Generated Deep Fake Video by Higher Education Students
The research regarding Deepfakes has been develo** at a faster pace as technology to simplify the process becomes more accessible with the use of...
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Systematic Review of Machine Learning in Recommendation Systems Over the Last Decade
This study presents a comprehensive overview of the approaches employed in recommendation systems over the last decade. The review primarily draws...
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The Influence of Social Competencies on the Performance of Software Project Team: Political Competency
Software projects are human-oriented in nature, and humans formulate software project teams. The members of software are entrusted with the role of...
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Characterization of ReRAM Arrays Operating in the Pre-formed Range to Design Reliable PUFs
Pre-formed Resistive Random Access Memory arrays are analyzed for the purpose of designing Physical Unclonable Functions to enhance the tamper...
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Cost Optimisation in Offshore Wind Through Procurement Data Analytics
Governments have implemented a variety of national and international efforts to reduce carbon emissions to prevent the damaging effects of climate...
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Enhancing True Random Number Generation in MRAM Devices Through Response Adjustment
Random number generators (RNGs) play a crucial role in cryptographic schemes. If the generated random numbers exhibit patterns or are predictable, it...
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Application of Speech Signal for Early Screening of Children with Autism Spectrum Disorder
Currently, there is no cure for Autism Spectrum Disorder (ASD), a neurodevelopmental disease. ASD causes problems in social communication and...
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RBF-SC: A Fast Community Detection Technique Using Radial Basis Functions
We propose an optimized algorithm for detecting communities in complex networks. We apply the radial basis functions to the corresponding similarity...
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An Unsupervised Deep Learning Model for Aspect Retrieving Using Transformer Encoder
We introduce a deep-learning-based aspect extraction model called RATE, which stands for Retrieving of Aspects using Transformer Encoder. When doing...
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CRISP-DM User Mobility Determined IoT Placement Within a Real-World Smart Building for Resource Efficient Fog Computing Environments
The introduction of Fog computing to the traditional Cloud computing architecture addresses the limitations of Cloud computing by optimising resource...