Browsing Computer Science & Engineering by Title
Now showing items 1412-1431 of 2211
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Model for transforming engineering education using technology-enhanced learning
( Springer International Publishing , 2015 , Book chapter)Engineering education is important for all countries to progress and to be competitive in the twenty-first century. This is especially true for countries in the Middle East and North Africa (MENA), which are developing ... -
A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue
( PubMed Central , 2016 , Article)Background There have been great advancements in the field of digital pathology. The surge in development of analytical methods for such data makes it crucial to develop benchmark synthetic datasets for objectively ... -
Model-based engineering for the integration of manufacturing systems with advanced analytics
( Springer New York LLC , 2016 , Conference Paper)To employ data analytics effectively and efficiently on manufacturing systems, engineers and data scientists need to collaborate closely to bring their domain knowledge together. In this paper, we introduce a domain-specific ... -
Model-based risk assessment for cyber physical systems security
( Elsevier , 2020 , Article)Traditional techniques for Cyber-Physical Systems (CPS) security design either treat the cyber and physical systems independently, or do not address the specific vulnerabilities of real time embedded controllers and networks ... -
A Model-driven Approach to the development of a PBL Script Editor
( Global Chinese Conference on Computers in Education (GCCCE) , 2013 , Article)Designing a pedagogically sound and technically executable collaboration script is a highly complex, time-consuming and error-prone task. This paper presents a model-driven approach to enable practitioners to design online ... -
Modeling and controller design of quasi-Z-Source inverter with battery based photovoltaic power system
( IEEE , 2012 , Article)A Photovoltaic (PV) power generation system based on quasi-Z-Source inverter (qZSI) with energy storage is presented. A dynamic small-signal model of qZSI with battery is established. Further, the battery power and current ... -
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
( Elsevier , 2023 , Article)Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, ... -
Modeling Family Behavior in Crowd Simulation
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Crowd simulation represents one of the approaches most commonly used to model human behavior in a crowd. Such simulation usually requires modeling different human structures such as individuals, groups, and friends. Most ... -
Modeling of the exhaust box assembly workshop using neural networks
( IEEE , 2008 , Conference Paper)The paper investigates the use of artificial neural networks in modeling and control of manufacturing systems. This approach models the various elements of a manufacturing system by the form of neural networks. The modeling ... -
Modeling Performance Measurement of Mobile Manipulators
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Mobile manipulators are being marketed around the world as single manufacturer systems (i.e., robot arm and vehicle manufactured by the same organization) and as independent robot arms, from a different manufacturer and ... -
Modeling security importance and preferences of software services
( IEEE , 2012 , Conference Paper)This paper proposes a modeling framework on how to specify security preferences and importance of software services, and compute a quantifiable value. Our approach advocates for an automatic calculation of the results of ... -
Modelling and performance analysis of TCP variants for data collection in smart power grids
( Elsevier B.V. , 2017 , Article)Smart grid communication networks adopt a variety of communication technologies interconnecting numerous and diverse equipment. The requirement of supporting a large traffic volume over such networks efficiently, reliably, ... -
Modern network reconfiguration techniques for service restoration in distribution systems: A step to a smarter grid
( Elsevier B.V. , 2018 , Article)This paper presents state of the art reconfiguration techniques used for service restoration in distribution systems under different practical considerations. The different formulations of the problem together with the ... -
Modified total variation regularization using fuzzy complement for image denoising
( IEEE Computer Society , 2016 , Conference Paper)In this paper, we propose a denoising algorithm based on the Total Variation (TV) model. Specifically, we associate to the regularization term of the Rodin-Osher-Fatimi (ROF) functional a small weight whenever denoising ... -
Mortality prediction utilizing blood biomarkers to predict the severity of COVID-19 using machine learning technique
( MDPI , 2021 , Article)Healthcare researchers have been working on mortality prediction for COVID-19 patients with differing levels of severity. A rapid and reliable clinical evaluation of disease intensity will assist in the allocation and ... -
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Computing a background model from a given sequence of video frames is a prerequisite for many computer vision applications. Recently, this problem has been posed as learning a low-dimensional subspace from high dimensional ... -
Moving Object Detection in Complex Scene Using Spatiotemporal Structured-Sparse RPCA
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Moving object detection is a fundamental step in various computer vision applications. Robust principal component analysis (RPCA)-based methods have often been employed for this task. However, the performance of these ... -
Multi-access edge computing: A survey
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Other)Multi-access Edge Computing (MEC) is a key solution that enables operators to open their networks to new services and IT ecosystems to leverage edge-cloud benefits in their networks and systems. Located in close proximity ... -
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple Radio Access Technologies (multi-RAT) and ... -
Multi-cloud distribution of virtual functions and dynamic service deployment: OpenADN perspective
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Network Function Virtualization (NFV) and Service Chaining (SC) are novel service deployment approaches in the contemporary cloud environments for increased flexibility and cost efficiency to the Application Service Providers ...