بدائل البحث:
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث)
algorithm its » algorithm _ (توسيع البحث), algorithm fa (توسيع البحث), algorithm goa (توسيع البحث)
algorithms a » algorithms _ (توسيع البحث), algorithm _ (توسيع البحث), algorithm fa (توسيع البحث)
a function » _ functional (توسيع البحث)
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث)
algorithm its » algorithm _ (توسيع البحث), algorithm fa (توسيع البحث), algorithm goa (توسيع البحث)
algorithms a » algorithms _ (توسيع البحث), algorithm _ (توسيع البحث), algorithm fa (توسيع البحث)
a function » _ functional (توسيع البحث)
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221
Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
منشور في 2009احصل على النص الكامل
doctoralThesis -
222
Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks
منشور في 2019"…We analyze the effectiveness of the proposed algorithm through extensive simulations and highlight valuable performance trends and trade-offs as a function of various system parameters.…"
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article -
223
Improving the Resilience of Smart Distribution Networks against Cyber Attacks
منشور في 2022احصل على النص الكامل
doctoralThesis -
224
Autonomous Robot Navigation Based On Recurrent Neural Networks
منشور في 2012احصل على النص الكامل
doctoralThesis -
225
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
منشور في 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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احصل على النص الكامل
article -
226
Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization
منشور في 2023"…The learned system can apply sensor allocation online, works in real-time, and selects one radar and one camera at a time without having to reevaluate a cost function at every time step. …"
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227
Iterative heuristics for multiobjective VLSI standard cellplacement
منشور في 2001"…Fuzzy rules are incorporated in order to design a multiobjective cost function that integrates the costs of three objectives in a single overall cost value. …"
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article -
228
Joint distributed synchronization and positioning in UWB ad hoc networks using TOA
منشور في 2006"…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …"
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article -
229
The maximum common subgraph problem
منشور في 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 -
230
EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
منشور في 2020"…Fuzzy rules are incorporated in order to design a multiobjective cost function. Both the techniques are applied to ISCAS-85/89 benchmark circuits and experimental results are reported and compared.…"
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article -
231
General iterative heuristics for VLSI multiobjective partitioning
منشور في 2003"…These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …"
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article -
232
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 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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233
Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing
منشور في 2020"…Subsequently, we propose a method to measure the cost-effectiveness of allocated resources and energy savings, named value density function. …"
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234
Shuffled Linear Regression with Erroneous Observations
منشور في 2019"…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …"
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conferenceObject -
235
Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants
منشور في 2020"…The first resummation result of the seven-loop series representing the fractal dimension of the two-dimensional self-avoiding polymer is presented here where we get a very accurate value of d<sub>f</sub>=1.3307 compared to its exact value (4/3≈1.3333).…"
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236
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
237
Software defect prediction. (c2019)
منشور في 2019"…This is normally measured at the level of a module. A module is a class in the object-oriented design or a function in the procedural design. …"
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masterThesis -
238
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
منشور في 2020"…The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…"
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239
On-demand deployment of multiple aerial base stations for traffic offloading and network recovery
منشور في 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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article -
240
Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
منشور في 2025"…Through systematic eigenvalue analysis and parameter sensitivity studies, complemented by time-domain verification in MATLAB/SIMULINK, we demonstrate the decisive influence of VSG control parameters on low-frequency oscillation (LFO) damping characteristics, transient frequency stability metrics, including the rate of change of frequency (ROCOF), maximum frequency deviation (<i>fnadir</i>), overshoot, and settling time. We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …"