Search alternatives:
algorithm both » algorithm aoa (Expand Search), algorithm its (Expand Search)
both function » cost function (Expand Search)
algorithm goa » algorithm fa (Expand Search), algorithm _ (Expand Search), algorithms a (Expand Search)
goa function » cost function (Expand Search)
algorithm a » algorithm fa (Expand Search), algorithms a (Expand Search), algorithm _ (Expand Search)
a function » _ functional (Expand Search)
algorithm both » algorithm aoa (Expand Search), algorithm its (Expand Search)
both function » cost function (Expand Search)
algorithm goa » algorithm fa (Expand Search), algorithm _ (Expand Search), algorithms a (Expand Search)
goa function » cost function (Expand Search)
algorithm a » algorithm fa (Expand Search), algorithms a (Expand Search), algorithm _ (Expand Search)
a function » _ functional (Expand Search)
-
261
Contingency analysis of bulk power system using neural networks
Published 1998“…The performance of the RBFN is compared with a standard AC load flow algorithm…”
Get full text
Get full text
article -
262
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
Published 2019Get full text
doctoralThesis -
263
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
Published 2021Get full text
doctoralThesis -
264
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
Published 2019“…We conducted a large battery of tests to evaluate MUSEC’s effectiveness and efficiency in both sentiment analysis and composition. …”
Get full text
Get full text
Get full text
Get full text
article -
265
Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants
Published 2020“…<p dir="ltr">Without Borel or Padé techniques, we show that for a divergent series with n! large-order growth factor, the set of hypergeometric series <sub>p</sub>F<sub>p</sub> -2 represents suitable approximants. …”
-
266
IMPROVING BER PERFORMANCE OF LDPC CODES BASED ON INTERMEDIATE DECODING RESULTS
Published 2007“…The behavior of the BP algorithm is first investigated as a function of number of decoder iterations, and it is shown that typical uncorrected error patterns can be classified into 3 categories: oscillating, nearly-constant, or random-like, with a predominance of oscillating patterns at high Signal-to-Noise (SNR) values. …”
Get full text
article -
267
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. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
268
Fragment based protein structure prediction. (c2013)
Published 2016“…The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …”
Get full text
Get full text
masterThesis -
269
Blood-Based Proteomic Profiling Identifies Potential Biomarker Candidates and Pathogenic Pathways in Dementia
Published 2023“…We used a high-throughput proximity extension immunoassay to quantify 1090 proteins in 122 participants (22 with dementia, 64 with mild cognitive impairment (MCI), and 36 controls with normal cognitive function). …”
-
270
Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing
Published 2020“…Subsequently, we propose a method to measure the cost-effectiveness of allocated resources and energy savings, named value density function. …”
-
271
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. …”
Get full text
Get full text
Get full text
Get full text
article -
272
The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability
Published 2003“…Fault tolerance is an important network design aspect. A fault tolerant network is able to function even in the presence of some faults in the network. …”
Get full text
article -
273
Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles
Published 2000“…In this paper a forcing function which is derived from a spherical-cavity expansion (SCE) analysis has been implemented in a transient dynamic finite element code. …”
Get full text
Get full text
Get full text
article -
274
-
275
Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks
Published 2019“…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. …”
Get full text
Get full text
Get full text
Get full text
article -
276
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.…”
Get full text
Get full text
Get full text
Get full text
article -
277
Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation
Published 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. …”
-
278
-
279
Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks
Published 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.…”
Get full text
Get full text
Get full text
Get full text
article -
280
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. …”
Get full text
Get full text