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modeling algorithm » scheduling algorithm (Expand Search)
cscap algorithm » cosine algorithm (Expand Search)
joint modeling » agent modeling (Expand Search), event modeling (Expand Search)
element » elements (Expand Search)
finding » findings (Expand Search)
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1
Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint
Published 2024Get full text
doctoralThesis -
2
Test case generation for path coverage. (c2000)
Published 2000Get full text
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masterThesis -
3
Intelligent Rapidly-Exploring Random Tree Star Algorithm
Published 2024Get full text
doctoralThesis -
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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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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
Published 2024“…We subject our enhanced iMLNB model to a rigorous empirical evaluation, utilizing six benchmark datasets. …”
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Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach
Published 2018Get full text
doctoralThesis -
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Joint BS Assignment and End-to-End Scheduling for Wireless Cellular Networks with Heterogeneous Services
Published 2010“…In this work, we extend the end-to-end scheduling approach by designing and evaluating a joint scheduling and BS assignment algorithm in order to further improve the system performance. …”
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10
Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC
Published 2022“…Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. …”
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11
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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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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13
Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams
Published 2021“…We define the mission planning problem through a model including multiple sub-problems that are addressed jointly: task selection and allocation, task scheduling, task routing, control of agent proximity over time. …”
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14
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The Extended Kalman Filter (EKF) is used for state estimation with proper clutter and detection models. Since we use Multi-objects to track, the Joint Probability Distribution Function (JPDA) estimates the best measurement values with a preset gating threshold. …”
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15
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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16
Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
Published 2023Get full text
doctoralThesis -
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18
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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Optimal Routing Protocol in Multimedia Wireless Sensor Networks
Published 2011Get full text
doctoralThesis -
20
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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