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method algorithm » mould algorithm (Expand Search)
data scheduling » task scheduling (Expand Search), ahead scheduling (Expand Search)
using algorithm » cosine algorithm (Expand Search)
defined » designed (Expand Search)
method algorithm » mould algorithm (Expand Search)
data scheduling » task scheduling (Expand Search), ahead scheduling (Expand Search)
using algorithm » cosine algorithm (Expand Search)
defined » designed (Expand Search)
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Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams
Published 2021“…To support performance scalability and to allow the effective use of the model when online continual replanning is required, a decentralized and fully distributed architecture is defined top-down from the MILP model. …”
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83
Evacuation of a highly congested urban city
Published 2017“…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …”
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conferenceObject -
84
Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE
Published 2022“…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …”
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85
Communications in electronic textile systems
Published 2017“…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …”
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conferenceObject -
86
ISSP
Published 2017“…Many decision-support tools were developed to assist planners in space scheduling but these were limited to providing the user with a platform that ties spatial and temporal data in the project and left it up to the user to decide on positions of resources and schedule adjustments to solve spatial conflicts that may arise in the process of constructing site layouts over time.The ISSP system, presented here, provides a graphical user-interactive interface with underlying layout and scheduling algorithms that construct feasible layout and schedule solutions under 2-dimensional spatial constraints between resources. …”
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conferenceObject -
87
Assigning proctors to exams using scatter search. (c2006)
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masterThesis -
88
Autonomous Robot Navigation Based On Recurrent Neural Networks
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doctoralThesis -
89
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
Published 2021“…Moreover, the results achieved by modified CHIOare compared against the results of other 13 well-regarded algorithms. For the first data set, the modifiedCHIO is able to gain the same results as the other comparative methods in two out of ten instances andacceptable results in the rest. …”
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90
FoGMatch
Published 2019“…Simulation results reveal that our solution outperforms the two common scheduling algorithms (i.e., Min-Min and Max-Min) in terms of IoT services execution makespan, fog nodes resource utilization efficiency and execution time.…”
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masterThesis -
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Supervised term-category feature weighting for improved text classification
Published 2022“…It builds a term-category TF-ICF matrix using an iterative and additive algorithm that produces category vector representations and updates until reaching convergence. …”
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Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
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Machine Learning-Based Approach for EV Charging Behavior
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doctoralThesis -
96
Methods for system-on-chip test design, scheduling and optimization. (c2006)
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masterThesis -
97
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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98
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
Published 2019“…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …”
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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 -
100
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