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modeling algorithm » scheduling algorithm (Expand Search)
fluent modeling » agent modeling (Expand Search), event modeling (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element based » event based (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
fluent modeling » agent modeling (Expand Search), event modeling (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element based » event based (Expand Search)
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241
Efficient unified Montgomery inversion with multi-bit shifting
Published 2005“…Since the existing algorithms based on the extended Euclidean algorithm do not permit a fast software implementation, projective co-ordinates, which eliminate almost all of the inversion operations from the curve arithmetic, are preferred. …”
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242
Multidimensional Gains for Stochastic Approximation
Published 2019“…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
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243
Dynamic adaptation for video streaming over mobile devices. (c2013)
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masterThesis -
244
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
Published 2024“…It utilizes Quasi-opposite-based learning (QOBL) to enhance the best solution obtained and, consequently, the entire population. The algorithm presented aims to solve the FS problem and has been assessed using benchmark optimization problems from the CEC’2017 and CEC’2022. …”
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245
Communications in electronic textile systems
Published 2017“…A new algorithm based on token grid schemes is presented that takes advantage of the e-textile physical configuration.…”
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conferenceObject -
246
Cross entropy error function in neural networks
Published 2002“…To forecast gasoline consumption (GC), the ANN uses previous GC data and its determinants in a training data set. …”
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247
Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea
Published 2018“…To this end, an efficient algorithm for forward and backward tracking of passive particles in stochastic flow-fields is presented. …”
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248
Growing hierarchical self-organizing map for filtering intrusion detection alarms
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conferenceObject -
249
A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making
Published 2024“…The availability of solar radiation throughout the country has been mapped here using ground-based measurements and satellite data. The regression-kriging algorithm and its variants are used to calibrate satellite data, through interpolation of ground solar radiation data. …”
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250
Innovative mobile E-healthcare systems
Published 2016“…Caching is one of the key methods in distributed computing environments to improve the performance of data retrieval. To find which item in the cache can be evicted and replaced, cache replacement algorithms are used. …”
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251
Efficient utilization of scalable multipliers in parallel to compute GF(p) elliptic curve cryptographic operations
Published 2007“…This paper presents the design and implementation of an elliptic curve cryptographic core to realize point scalar multiplication operations used for the GF(p) elliptic curve encryption/decryption and the elliptic curve digital signature algorithm (ECDSA). …”
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252
Scheduling and allocation in high-level synthesis using stochastic techniques
Published 2020“…Both genetic scheduling and allocation (GSA) and tabu scheduling and allocation (TSA) have been tested on various benchmarks and results obtained for data-oriented control-data flow graphs are compared with other implementations in the literature. …”
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253
Modelling Exchange Rates during Currency Crisis using Neural Networks
Published 2006“…The models are built using the feedforward ANN structure trained by the backpropagation algorithm. Exchange rate data from the Lebanese currency crisis period of 1985-1992 is used for training, testing and evaluation of the models. …”
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conferenceObject -
254
Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)
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masterThesis -
255
Structural similarity evaluation between XML documents and DTDs
Published 2007“…We consider the various DTD operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes. Our approach is based on the concept of tree edit distance, as an effective and efficient means for comparing tree structures, XML documents and DTDs being modeled as ordered labeled trees. …”
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256
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
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doctoralThesis -
257
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
Published 2022“…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …”
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258
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
Published 2021“…Specifically, short local histograms are drawn to represent individual appliance consumption signatures and robustly extract appliance-level data from the aggregated power signal. Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …”
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259
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
Published 2019“…The BoDF model achieves 93.8% accuracy in the SEED data set and 77.4% accuracy in the DEAP data set, which is more accurate compared to other state-of-the-art methods of human emotion recognition.…”
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260