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A parallel XTS encryption mode of operation
Published 2009“…Developing newer and more secure encryption algorithms and modes of operation might be critically important to protect these devices since conventional disk encryption algorithms, such as CBC mode, have shown serious security flaws. …”
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2
Implementation of a parallel XTS encryption mode of operation
Published 2014“…Developing newer and more secure encryption algorithms and modes of operation might be critically important to protect these devices since conventional disk encryption algorithms, such as CBC mode, have shown serious security flaws. …”
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3
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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4
Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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5
Enhancing performance of XTS cryptography mode of operation using parallel design
Published 2009“…These limitations in XTS have been successfully overcome by the enhanced parallel XTS mode of operation which gives a 1.80 speedup factor with 90 percent efficiency using AES as an encryption algorithm. …”
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6
Quality of service management algorithms in WiMAX networks
Published 2015“…Moreover, an improved sleep mode control algorithm has been introduced to reduce the high energy consumption of the standard sleep mode algorithm. …”
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7
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
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8
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
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9
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
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10
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
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11
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2023“…The present study proposes an efficient DDoS attack detection model. This model relies mainly on dimensionality reduction and machine learning algorithms. …”
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12
New algorithm for gyroless spacecraft angular rate Estimation and its application
Published 2006“…A new algorithm for estimating the angular velocity using quaternion measurements is developed based on the concept of the global optimality resulting when using a centralized or master Kalman filter. …”
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13
QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics
Published 2016“…This is done by trying to avoid the issues accompanied with the development of the previous algorithms that have been utilized for the same goal. …”
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14
Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…The aim is to improve the utilization of computing resources and reduce energy consumption under SLA constraints regarding CPU, RAM, and bandwidth. The efficiency of the proposed algorithms is validated by conducting extensive simulations. …”
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15
Modelling and optimization of a transit services with feeder bus and rail system / Mohammadhadi Almasi
Published 2015“…In this study, optimized transit services and coordinated schedules are developed using metaheuristic algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), water cycle algorithm (WCA) and imperialist competitive algorithm (ICA). …”
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16
Intelligent PID Controller Tuned by Bacterial Foraging Optimization Algorithm for Vibration Suppression of Horizontal Flexible Structure
Published 2022“…BFO is a metaheuristic approach categorized as an evolutionary algorithm recently developed, and a nature-inspired optimization algorithm. …”
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Mobile application for real time baby sign language recognition using YOLOv8 / Siti Aishah Idris and Ahmad Firdaus Ahmad Fadzil
Published 2024“…The model will be designed and developed using a deep learning algorithm, which is YOLOv8, the latest version of YOLO. …”
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Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…Close results between the performance of the developed sorting algorithm and SVM algorithm demonstrate that it is satisfactory and efficient. …”
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Space vehicles dynamics and control
Published 2011“…In both modes the active magnetic control algorithms have been introduced and developed. …”
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