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1
Test case generation for path coverage. (c2000)
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masterThesis -
2
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
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4
Data Generation for Path Testing
Published 2004“…We present two stochastic search algorithms for generating test cases that execute specified paths in a program. …”
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5
Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach
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doctoralThesis -
6
DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs
Published 2025“…By deploying a deep reinforcement learning algorithm, we find optimal UAV paths based on the two families of trajectories: spiral and oval curves, to tackle different design considerations and constraints, in terms of QoS, energy consumption and coverage hole avoidance. …”
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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
Published 2013Get full text
doctoralThesis -
8
A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
Published 2019“…The algorithm calculates the concept frequency weights using the term frequency weights. …”
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9
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
Published 2023“…<p dir="ltr">In mobile edge computing (MEC), it is difficult to recognise an optimum solution that can perform in limited energy by selecting the best communication path and components. This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …”
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10
Correlation Clustering with Overlaps
Published 2020“…We present a heuristic algorithm and a semi-exact algorithm for the Multi-Parameterized Cluster Editing with Vertex Splitting problem. …”
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masterThesis -
11
On the complexity of multi-parameterized cluster editing
Published 2017“…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …”
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QoS-driven multicast tree generation using tabu search
Published 2020“…The problem to be solved is to find a minimum cost multicast treee where each source to destination path is contrained by a delay bound. …”
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14
Optimal Routing Protocol in Multimedia Wireless Sensor Networks
Published 2011Get full text
doctoralThesis -
15
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 -
16
SDODV. (c2018)
Published 2018“…Experimental results prove that SDODV out-performs shortest path and reduces the energy consumption.…”
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masterThesis -
17
Optical recognition of electrical circuit drawings
Published 1997“…The system uses computer vision techniques to analyze the circuit's drawing and produces a circuit description program suitable for analysis by circuit analysis programs such as SPICE. The algorithm proposed uses a variety of machine vision techniques to locate the circuit nodes and isolate the circuit components. …”
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18
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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19
Multidimensional Gains for Stochastic Approximation
Published 2019“…The proposed algorithms here aim for per-iteration minimization of the mean square estimate error. …”
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20
On the disk dimension of planar graphs
Published 2011“…More significantly, we devise a direct and highly practical linear-time algorithm to decide whether an arbitrary graph has fixed disk dimension k or less. …”
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