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201
Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function
Published 2020“…The performance is calculated first and an LMI-based algorithm is developed to design a state feedback control law with constant gain matrices which robustly stabilizes the system in the mean-square quadratically stable sense.…”
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202
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203
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
Published 2021“…It investigates the gain in training time and the performance in terms of accuracy when clustering-based deep learning modeling is employed for STLF. A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …”
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204
Precision nutrition: A systematic literature review
Published 2021“…Four machine learning tasks are seen in the form of regression, classification, recommendation and clustering, with most of these utilizing a supervised approach. In total, 30 algorithms were used, with 19 appearing more than once. …”
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205
A Framework for Predictive Modeling in Sustainable Projects
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206
A linear programming approach for the weighted graph matchingproblem
Published 1993“…The developed algorithm is compared to two other algorithms. …”
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207
A new estimator and approach for estimating the subpopulation parameters
Published 2021“…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …”
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208
A novel design technique for generating building form
Published 2018“…This dissertation sets out to develop a novel design technique for generating building form in the early stage of the design. …”
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209
A machine learning approach for localization in cellular environments
Published 2018“…A machine learning approach is developed for localization based on received signal strength (RSS) from cellular towers. …”
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210
The effects of data balancing approaches: A case study
Published 2023“…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …”
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211
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
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212
A comparative analysis to forecast carbon dioxide emissions
Published 2022“…It seems to have nearly similar accuracy as the LSTM model, having a MAPE of 5.541.</p><h2>Other Information</h2><p dir="ltr">Published in: Energy Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.egyr.2022.06.025" target="_blank">https://dx.doi.org/10.1016/j.egyr.2022.06.025</a></p>…”
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213
An automated temporal partitioning tool for a class of DSP applications
Published 1998“…We present an automated temporal partitioning tool for developing dynamical ly recon gurable designs starting from behavior level speci cations for a class of dsp applications. …”
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214
A simple approach for testing web service based applications
Published 2005“…Test cases are executed automatically using a test execution algorithm and a test framework is also presented. …”
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215
DAP: A dataset-agnostic predictor of neural network performance
Published 2024“…This task often must be repeated many times, especially when developing a new deep learning algorithm or performing a neural architecture search. …”
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216
A fine-grained XML structural comparison approach
Published 2007“…A prototype has been developed to evaluate the optimality and performance of our method. …”
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217
A Survey and Comparison of Post-Quantum and Quantum Blockchains
Published 2023“…However, the rapid progress of quantum computing poses a significant threat to the security of existing blockchain technologies. …”
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218
Tabu Search For A Class Of Single-Machine Scheduling Problems
Published 2020“…In this paper we develop a tabu search-based solution procedure designed specifically for a certain class of single-machine scheduling problems with a non-regular performance measure. …”
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219
A Machine Learning Approach to Predicting Diabetes Complications
Published 2021Get full text
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220
A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …”
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