بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
system » systems (توسيع البحث)
element » elements (توسيع البحث)
update » updated (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
system » systems (توسيع البحث)
element » elements (توسيع البحث)
update » updated (توسيع البحث)
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161
Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses
منشور في 2020"…This study proposes a genetic algorithm-based control strategy that optimizes the coefficient of performance of the HP system to decrease its energy consumption and maximize the driving range. …"
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conferenceObject -
162
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021"…First, the NARXNN model acquires the data to generate a residual error vector. Then, the stacked LSTM model, optimized by Tabu search algorithm, uses the residual error correction associated with the original data to produce a point and interval PVPF. …"
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163
RFID localization using single reader antenna. (c2014)
منشور في 2016"…Our scheme is based on Power Map Matching algorithm. The proposed method employs the use of a Single Stationary Reader Antenna and multitags placed on the asset. …"
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masterThesis -
164
Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant
منشور في 2019"…The results are of great significance as the real data of an IPP is used and imply that the performance of PSO is better than that of GA in case of CEED for finding the optimal solution concerning fuel cost, emission, convergence characteristics, and computational time. …"
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165
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166
On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
منشور في 2005"…Higher-Order Iterative Learning Control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
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conferenceObject -
167
Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 2015"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. The model uses the Apriori Algorithm - an association rule algorithm for extracting frequent sets containing related items - to extract relations between words in the texts to be indexed with words from texts that belong to the same category. …"
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masterThesis -
168
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021احصل على النص الكامل
doctoralThesis -
169
A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020احصل على النص الكامل
article -
170
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
منشور في 2024"…As new <u>malware</u> gets introduced frequently by <u>malware developers</u>, it is very challenging to come up with comprehensive algorithms to detect this malware. There are many machine-learning and deep-learning algorithms have been developed by researchers. …"
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171
LDSVM: Leukemia Cancer Classification Using Machine Learning
منشور في 2022"…This study proposes a novel method using machine learning algorithms based on microarrays of leukemia GSE9476 cells. …"
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172
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
منشور في 2020"…The performance of the Tabu search algorithm is promising. The Tabu search algorithm solved two power system problems, 4 units and 22 units. …"
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article -
173
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
منشور في 2020"…The performance of the Tabu search algorithm is promising. The Tabu search algorithm solved two power system problems, 4 units and 22 units. …"
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article -
174
Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms
منشور في 2020"…In this paper, a modified genetic algorithm is used as a procedure to solve the parameter identification problem of the nonlinear Wiener-Hammerstein models. …"
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article -
175
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
منشور في 2023"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"
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176
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177
The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers
منشور في 2021"…The optimization of the system parameters is expected to overcome the limitations of using evaporative coolers in humid countries. …"
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article -
178
Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm?
منشور في 2021"…The resulting model achieves an 89% predictive accuracy using historical data. A unique aspect of the model is the incorporation of self-competence, where the model defers when it cannot reasonably make a recommendation. …"
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179
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180
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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article