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revolves. » evolves. (Expand Search), resolves. (Expand Search), involves. (Expand Search)
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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
Published 2024“…A Master of Science thesis in Electrical Engineering by Reza Davoodi Far entitled, “Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning”, submitted in July 2024. …”
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Removal of the finite-distance source effect on the Applebaum array
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The impact of Transforming an Independent School with Conventional Hierarchal Structure into a Professional Learning Community (PLC) on the Overall School Improvement Process
Published 2024“…This way, school improvement initiatives become immaculately contextualised and internally initiated, and thus far more sustainably effective than current standardised school improvement models with very limited potential to achieve stakeholders’ aspirations of building a robust system that can internally, sustainably, and proactively revive school improvement dynamics and mechanisms. …”
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Mathematical Modeling of Pediatric Leukemia: Logical Modeling Approach
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Second-order conic programming for data envelopment analysis models
Published 2022“…As far as known, no MATLAB function solves DEA models. …”
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Hybrid Deep Learning-based Models for Crop Yield Prediction
Published 2022“…<p dir="ltr">Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must be improved. …”
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Large language models for code completion: A systematic literature review
Published 2024“…Therefore, we aimed to perform a Systematic Literature Review (SLR) study to investigate how LLMs have been applied for code completion so far. We have formulated several research questions to address how LLMs have been integrated for code completion-related tasks and to assess the efficacy of these LLMs in the context of code completion. …”
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Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models
Published 2023“…In this paper, we perform a rigorous analysis of the adversarial vulnerabilities of DL-based CFP models under multiple threat settings, making three-fold contributions; 1) we propose CaV-detect by formally identifying two novel properties— C onsistency a nd V alidity—of the CFP inputs that enable the detect ion of standard adversarial inputs with 0% false acceptance rate (FAR); 2) we leverage universal adversarial perturbations and an adaptive adversarial loss to present adaptive adversarial attacks to evade CaV-detect defense; 3) we propose CVP, a C onsistent, V alid and P hysically-realizable adversarial attack, that explicitly inducts the consistency and validity priors in the perturbation generation mechanism. …”
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The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies
Published 2021“…However, the outcomes were far from being uniform for the selected cryptocurrencies: convincing for Dash and Dogcoin, acceptable for Litecoin and Monero and unconvincing for Bitcoin and Ripple, where the (optimal) model was not rejected only at the 99% confidence level.…”
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AN INTEGRATED SIMULATION MODEL FOR MANNING MAINTENANCE SHOPS
Published 2020“…In this paper the elements of an integrated simulation model has been described. The integrated model consists of several modules. …”
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Modelling of pollutant transport in compound open channels
Published 1998“…The present research investigates the numerical and experimental modelling aspects of flow in compound channels, with special interest in the transport of inert pollutant aspects. …”
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masterThesis -
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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models
Published 2022“…This type of model tuning over transfer learning provides a customized model for classification, highly optimized for a particular region. …”
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Business Continuity Management Maturity Model for Banks in UAE
Published 2008“…Such an analysis tool has to be based on a maturity model (as evident from the Literature review in Chapter 2) Currently, no standard maturity model exists for BCM implementation (something like CMM, CMMI etc.). …”
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Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
Published 2017Get full text
doctoralThesis -
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Development of a demand uncertainty-based model to estimate network reliability
Published 2017“…Particularly in comparison to those of the deterministic scenarios, the scenarios incorporating uncertainty yield far superior results.…”
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Influence maximization in social networks. (c2019)
Published 2019“…We propose a Depth-Based Diminishing Influence model (DBDM) that is based on adding nodes to the seed set by considering influenced in-neighbors and how far these in-neighbors are from the initial activated set. …”
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A finite element approach to model thin films in circular EHD contacts
Published 2007“…So far, most of the numerical studies of lubricated contacts were carried out by using finite difference1, 2 or finite volume3 methods. …”
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