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change algorithm » cosine algorithm (Expand Search), carlo algorithm (Expand Search)
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT
Published 2023“…In future, other neural network algorithms such as the RNN, LSTM will be implemented, and Arabic tweets will be included in the future.…”
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Edge intelligence for network intrusion prevention in IoT ecosystem
Published 2023“…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. The performance evaluation using standard datasets demonstrates that the proposed model provides an accuracy of up to 99.99%.…”
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IDENTIFICATION AND CONTROL STRATEGY APPLIED IN LOAD MANAGEMENT OF RESIDENTIAL AIR-CONDITIONERS
Published 2004“…An integrated simulation environment was developed wherein the identification and control algorithm were implemented. Also, foundation was laid for carrying out the implementation of this simulated environment on a real Air-Conditioner (A/C) system.…”
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masterThesis -
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A novel few shot learning derived architecture for long-term HbA1c prediction
Published 2024“…Finally, a K-nearest neighbor (KNN) model with majority voting is implemented for the final classification task. The proposed FSL-derived algorithm provides a prediction accuracy of 93.2%.…”
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An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control
Published 2020“…Different metrics to quantitatively evaluate the performance of each algorithm in terms of accuracy and latency were computed and overall comparison is presented. …”
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On the exact recovery of the FFT of noisy signals using a non-subtractively dither-quantized input channel
Published 2003“…Through several algorithmic changes, the FFT and its variants have not only breathed a new lease of life into an otherwise latent classical DFT algorithm but also led to an explosion of applications in numerous areas. …”
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UML-based regression testing for OO software
Published 2010“…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …”
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New primitives to AOP weaving capabilities for security hardening concerns
Published 2007“…Moreover, we show the viability and correctness of our proposed primitives by elaborating their algorithms and presenting experimental results.…”
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Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
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Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
Published 2023“…The OSF detection and localization algorithm is implemented based on the dynamic response difference between the physical system and its DT. …”
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Reinforcement R-learning model for time scheduling of on-demand fog placement
Published 2020“…This choice is subject to study the demand of a particular location for services in order to maximize the resources utilization of these fogs. A simple algorithm will not be able to explore randomly changing users’ demands. …”
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Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
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doctoralThesis -
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Dynamic multiple node failure recovery in distributed storage systems
Published 2018“…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …”
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Just-in-time defect prediction for mobile applications: using shallow or deep learning?
Published 2023“…Traditional machine learning-based defect prediction models have been built since the early 2000s, and recently, deep learning-based models have been designed and implemented. While deep learning (DL) algorithms can provide state-of-the-art performance in many application domains, they should be carefully selected and designed for a software engineering problem. …”
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Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
Published 2017“…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …”
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Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
Published 2017“…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …”
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