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261
Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
Published 2023“…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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262
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
Published 2021Get full text
doctoralThesis -
263
Fragment based protein structure prediction. (c2013)
Published 2016“…In addition, it demonstrates the advantage of using the CHARMM36 energy model. The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …”
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masterThesis -
264
CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction
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doctoralThesis -
265
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
Published 2019“…We demonstrate the favourable characteristics of the proposed algorithms via extensive simulation results and analysis as a function of various system parameters, with benchmarking against two greedy algorithms based on distance and deadline metrics.…”
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266
Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants
Published 2020“…The divergent<sub>p</sub>F<sub>p</sub>-2 series are then resummed via their representation in terms of the Meijer-G function. The choice of <sub>p</sub>F<sub>p</sub>-2 accelerates the convergence even with only weak-coupling information as input. …”
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267
Optimization metaheuristic for software testing
Published 2013“…We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …”
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conferenceObject -
268
Heuristics for graph decomposition
Published 2000“…To find a reasonable solution to this intractable problem, we suggest an approximate objective function that can be minimized by heuristic procedures. …”
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conferenceObject -
269
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270
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
Published 2013Get full text
doctoralThesis -
271
Online Control and Optimization of Directional Drilling
Published 2020“…A proposed mass spring system was used to represent the phenomena of stick-slip oscillation. …”
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masterThesis -
272
Anonymizing multimedia documents
Published 2016“…We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …”
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273
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 2023“…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …”
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274
The maximum common subgraph problem
Published 2017“…The result is an algorithm whose run time is bounded by a function exponential in the order of the smaller cover rather than in the order of the smaller graph.…”
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conferenceObject -
275
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
Published 2023“…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. …”
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276
Oversampling techniques for imbalanced data in regression
Published 2024“…For tabular data we conducted a comprehensive experiment using various models trained on both augmented and non-augmented datasets, followed by performance comparisons on test data. …”
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277
Improving the Resilience of Smart Distribution Networks against Cyber Attacks
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doctoralThesis -
278
Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks
Published 2019“…The performance of the meta-heuristic solution is evaluated and compared to the optimal solution as a function of various system parameters and for different application use cases. …”
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279
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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280
On-demand deployment of multiple aerial base stations for traffic offloading and network recovery
Published 2019“…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…”
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