Search alternatives:
using algorithm » cosine algorithm (Expand Search)
element based » event based (Expand Search)
cnn algorithm » rd algorithm (Expand Search), colony algorithm (Expand Search), cosine algorithm (Expand Search)
level using » level fusion (Expand Search)
using algorithm » cosine algorithm (Expand Search)
element based » event based (Expand Search)
cnn algorithm » rd algorithm (Expand Search), colony algorithm (Expand Search), cosine algorithm (Expand Search)
level using » level fusion (Expand Search)
-
201
-
202
A novel few shot learning derived architecture for long-term HbA1c prediction
Published 2024“…Despite the impact of such prediction capabilities, no work in the literature or industry has investigated the futuristic prediction of HbA1c using current blood glucose (BG) measurements. For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …”
-
203
Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
Published 2021Get full text
doctoralThesis -
204
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.…”
Get full text
Get full text
Get full text
conferenceObject -
205
-
206
A hybrid model for the optimum integration of renewable technologies in power generation systems
Published 2011“…The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …”
Get full text
article -
207
-
208
Communication-Based Adaptive Overcurrent Protection for Distribution Systems with DistributedGenerators
Published 2012Get full text
doctoralThesis -
209
Inferential sensing techniques in industrial applications
Published 0007“…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …”
Get full text
masterThesis -
210
A cluster-based model for QoS-OLSR protocol
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
211
-
212
Optimizing clopidogrel dose response
Published 2016“…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …”
Get full text
Get full text
Get full text
Get full text
article -
213
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. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
214
Enhanced Inverse Model Predictive Control for EV Chargers: Solution for Rectifier-Side
Published 2024“…Then, an adaptive estimation strategy employing a recursive least square algorithm is proposed for online dynamic model estimation, which is then used by the IMPC for optimal switching states prediction. …”
-
215
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
Published 2022“…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …”
-
216
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
Published 2019“…Unlike existing solutions, MUSEC is: (i) a hybrid crossover between supervised learning (SL, to learn sentiments from music) and evolutionary computation (for music composition, MC), where SL serves at the fitness function of MC to compose music that expresses target sentiments, (ii) extensible in the panel of emotions it can convey, producing pieces that reflect a target crisp sentiment (e.g., love) or a collection of fuzzy sentiments (e.g., 65% happy, 20% sad, and 15% angry), compared with crisp-only or two-dimensional (valence/arousal) sentiment models used in existing solutions, (iii) adopts the evolutionary-developmental model, using an extensive set of specially designed music-theoretic mutation operators (trille, staccato, repeat, compress, etc.), stochastically orchestrated to add atomic (individual chord-level) and thematic (chord pattern-level) variability to the composed polyphonic pieces, compared with traditional evolutionary solutions producing monophonic and non-thematic music. …”
Get full text
Get full text
Get full text
Get full text
article -
217
A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications
Published 2011“…The proposed scheme monitors the signal strength level during the file transfer process and compresses data blocks on-the-fly only whenever energy reduction gain is expected. …”
Get full text
Get full text
Get full text
article -
218
A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation
Published 2023“…Conventional methods, which are used to solve state estimation on the transmission level, require the grid to be observable. …”
Get full text
Get full text
Get full text
masterThesis -
219
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
Published 2020Get full text
doctoralThesis -
220