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coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
work algorithm » swarm algorithm (Expand Search), rd algorithm (Expand Search)
td3 algorithm » rd algorithm (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
work algorithm » swarm algorithm (Expand Search), rd algorithm (Expand Search)
td3 algorithm » rd algorithm (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
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181
Developing an online hate classifier for multiple social media platforms
Published 2020“…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …”
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182
Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants
Published 2006“…The use of U-model alleviates the computational complexity of the nonlinear controller design that occurs when using other modelling frame works such as NARMAX model. The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. …”
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183
Automated systems for diagnosis of dysgraphia in children: a survey and novel framework
Published 2024“…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …”
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184
A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants
Published 2006“…In this paper a novel method to facilitate controller design for output tracking of wide range of nonlinear plants based on a new control oriented model known as U-model is presented. The use of U-model alleviates the computational complexity of on-line nonlinear controller design that arises when using other modelling frame works such as NARMAX model. …”
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185
Parallelization of Stochastic Evolution
Published 2006“…The motivation for Parallel CAD include faster runtimes, handling of larger problem sizes, and exploration of larger search space. In this work, the development of parallel algorithms for Stochastic Evolution, applied on multi-objective VLSI cell-placement problem is presented. …”
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masterThesis -
186
Parallelization of Iterative Heuristic for Performance-Driven Low-Power VLSI Standard Cell Placement.
Published 2003“…The motivation for Parallel CAD include faster runtimes, handling of larger problem sizes, and exploration of larger search space. In this work, the development of parallel algorithms for Tabu Search, applied on multi-objective VLSI cell-placement problem is presented. …”
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masterThesis -
187
On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity
Published 2020“…Simulation results are presented for both parts of the thesis to illustrate the effectiveness of the proposed solutions and algorithms in comparison with optimal solutions and baseline algorithms.…”
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masterThesis -
188
Performance Analysis of a Three-to-Five Phase Dual Matrix Converter Based on Space Vector Pulse Width Modulation
Published 2019“…The hardware setup is developed and control algorithm is implemented using dSPACE working in conjunction with the FPGA interface board for practical validation.…”
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189
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
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doctoralThesis -
190
A genetic-based fuzzy logic power system stabilizer formultimachine power systems
Published 1997“…This paper presents a novel approach to combine genetic algorithms (GA) with fuzzy logic systems to design a genetic-based fuzzy logic power system stabilizer (GFLPSS) for multimachine power systems. …”
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191
Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices
Published 2024“…In this context, this paper presents an improved framework (SDN-ML-IoT) that works as an Intrusion and Prevention Detection System (IDPS) that could help to detect DDoS attacks with more efficiency and mitigate them in real time. …”
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192
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
Published 2022“…This work is to apply sentiment analysis SA for Arabic movie reviews on social media. …”
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193
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195
A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education
Published 2022“…As part of this work, two deep learning models are compared according to their performance. …”
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196
User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations
Published 2017“…We demonstrate their e↵ectiveness by presenting performance results and analysis for a wide range of network scenarios.…”
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masterThesis -
197
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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198
Face Segmentation: A Journey From Classical to Deep Learning Paradigm, Approaches, Trends, and Directions
Published 2020“…The article illustrates the advantages and disadvantages of previously proposed methods in state-of-the-art (SOA). The approaches presented comprise the seminal works on face segmentation and culminating in SOA approaches of the deep learning architecture. …”
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199
Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
Published 2024“…Dialect Speech Sentiment Analysis is an evolutional field where machine learning algorithms are utilized to detect emotions in spoken language. …”
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200
A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
Published 2008“…These attempts suffered from a major drawback which is the almost full Jacobian matrix of the nonlinear system of equations. This work presents a new approach for solving the fully coupled isothermal elastohydrodynamic problem using a finite element discretization of the corresponding equations. …”
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