بدائل البحث:
algorithm time » algorithm its (توسيع البحث), algorithm sma (توسيع البحث)
where function » heart function (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
algorithm time » algorithm its (توسيع البحث), algorithm sma (توسيع البحث)
where function » heart function (توسيع البحث)
algorithm a » algorithm fa (توسيع البحث), algorithms a (توسيع البحث), algorithm _ (توسيع البحث)
a function » _ functional (توسيع البحث)
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241
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
242
Fragment based protein structure prediction. (c2013)
منشور في 2016"…The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …"
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masterThesis -
243
Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
منشور في 2013احصل على النص الكامل
doctoralThesis -
244
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
منشور في 2023"…In the predicted model, an analytical framework is created to operate the robot within predetermined areas while maximizing communication ranges. 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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245
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 -
246
Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles
منشور في 2000"…In the context of an analysis code, this approximation eliminates the need for discretizing the target as well as the need for a contact algorithm. Thus, this method substantially reduces the computer time and memory requirements. …"
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article -
247
Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks
منشور في 2018"…We generate results as a function of a wide range of system parameters, and demonstrate that the proposed algorithms achieve near-optimal performance with notably low time complexity.…"
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احصل على النص الكامل
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article -
248
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 -
249
Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks
منشور في 2019"…A major class of emerging services relies on highly intensive computations to make real-time decisions with ultra-low latency. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
250
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
منشور في 2023"…OSF is tolerated by changing the switching function based on the location of the fault. Second, the voltage and current sensor fault is detected when the DT provides a specific amplitude of currents while the physical sensors do not provide a correct measurement. …"
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251
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …"
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252
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 -
253
Reinforcement Learning-Based School Energy Management System
منشور في 2020"…In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …"
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254
Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing
منشور في 2023"…To determine the optimized size, a firefly optimization algorithm is used as an efficient meta-heuristic approach. …"
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255
Entire hypergeometric approximants for the ground state energy perturbation series of the quartic, sextic and octic anharmonic oscillators
منشور في 2023"…To explain such interesting feature, we suggest a type of analytic continuation where the parametrized divergent hypergeometric series is represented as a finite sum over entire hypergeometric functions. …"
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256
Defense against adversarial attacks: robust and efficient compressed optimized neural networks
منشور في 2024"…A cumulative updating loss function was employed for overall optimization, demonstrating remarkable superiority over traditional optimization techniques. …"
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257
Regression testing web services-based applications
منشور في 2006"…Our algorithm selects every test sequence that corresponds to a different behavior in the modified system. …"
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conferenceObject -
258
Power matching approach for GPS coverage extension
منشور في 2006"…The algorithm, based on a statistical measure, correlates the received power from different GPS satellite vehicles (SVs), which leads to a specific signature, i.e., to a topographical database with periodic time-varying estimates of the received powers of SVs. …"
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article -
259
EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
منشور في 2020"…Furthermore, with current trends partitioning has become a multi-objective problem, where power, delay and area in addition to minimum cut, need to be optimized. …"
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article -
260
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
منشور في 2024"…Furthermore, the confusion matrix validates the random forest classification model's accuracy. At the same time, the mean square error value serves as the loss function for the ANN model (i.e., the loss function values were 2.84 × 10<sup>−7</sup> and 6.40 × 10<sup>−7</sup>, respectively, for X1 and X2 loading conditions at 45° angle). …"