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data scheduling » task scheduling (Expand Search), ahead scheduling (Expand Search)
using algorithm » cosine algorithm (Expand Search)
element » elements (Expand Search)
defined » designed (Expand Search)
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81
Machine Learning-Based Approach for EV Charging Behavior
Published 2021Get full text
doctoralThesis -
82
Methods for system-on-chip test design, scheduling and optimization. (c2006)
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masterThesis -
83
Mitigating Motion Sickness in Autonomous Vehicles for Improved Passenger Comfort
Published 2024“…Quantifying the improvement in ride comfort in terms of the Motion Sickness Dose Value (MSDV) metric, as defined in standard ISO-2631, it is reported that the MSDV was reduced by 113% on average using our proposed methodology.…”
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article -
84
A novel network-based SIS framework for improved GA performance
Published 2025“…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …”
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masterThesis -
85
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86
Uplink Noma in UAV-Assisted IoT Networks
Published 2022“…The first part of the thesis considers the problem of data collection from time-constrained IoT devices through deploying a UAV with uplink NOMA. …”
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masterThesis -
87
Area Flexible GF(2k) Elliptic Curve Cryptography Coprocessor
Published 2007“…Elliptic curve cryptography (ECC) is popularly defined either over GF(p) or GF(2k). This research modifies a GF(p) multiplication algorithm to make it applicable for GF(2k). …”
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88
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89
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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90
Dynamic Spectrum Scheduling and Management in Centralized Cognitive Radio Networks
Published 2017Get full text
doctoralThesis -
91
A Dual Vibration Absorber for Vibration Suppression of Harmonically Forced Systems
Published 2022“…Then, a numerical technique based on both the genetic algorithm and the search simplex method is used to calculate the optimal system parameters. …”
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masterThesis -
92
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93
An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control
Published 2020“…The first three techniques were automatic, employ correlation, and were variants of template matching, whereas the last one uses convolutional neural networks (CNNs). 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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94
A survey and comparison of wormhole routing techniques in a meshnetworks
Published 1997“…These multiprocessing systems consist of processing elements or nodes which are connected together by interconnection networks in various topologies. …”
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article -
95
Accelerating Blockchain Transaction Verification With Parallel Computing
Published 2024Get full text
doctoralThesis -
96
A Navigation and Control System for a Robot in Indoor/Outdoor Environments
Published 2016Get full text
doctoralThesis -
97
Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
Published 2025“…After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …”
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98
A Terrain classification system for coseismic landslide hazard analysis: Lebanon, a case study
Published 2014“…Terrain classification was modeled after the work of Iwahashi and Pike (2007), which has been shown to relate to engineering properties of the landscape (eg Vs 30, Yong et al., 2012) using slope, curvature, and roughness. In this work topographic slope, calculated using Ritter’s algorithm (1987) is used to demarcate landslide failure modes. …”
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conferenceObject -
99
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…Feature selection (FS) is the activity of defining the most contributing feature subset among all used features to improve the superiority of datasets with a large number of dimensions by selecting significant features and eliminating redundant and irrelevant ones. …”
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100
AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics
Published 2022“…AGEomics biomarkers have been used in diagnostic algorithms using machine learning methods. …”