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Hybridization of Haar Wavelet Decomposition and Computational Intelligent Algorithms for the Estimation of Climate Change Behavior.

, , , , , и . ICT-EurAsia, том 8407 из Lecture Notes in Computer Science, стр. 238-247. Springer, (2014)

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Mahdi Ali Abdulsalam

 

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Hybridization of Haar Wavelet Decomposition and Computational Intelligent Algorithms for the Estimation of Climate Change Behavior., , , , , и . ICT-EurAsia, том 8407 из Lecture Notes in Computer Science, стр. 238-247. Springer, (2014)Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices., , , , и . Conf. Computing Frontiers, стр. 27:1-27:2. ACM, (2014)Nature Inspired Meta-heuristic Algorithms for Deep Learning: Recent Progress and Novel Perspective., , , , , , и . CVC (1), том 943 из Advances in Intelligent Systems and Computing, стр. 59-70. Springer, (2019)Performance Evaluation of Hybrid Meta-Heuristics-Based Task Scheduling Algorithm for Energy Efficiency in Fog Computing., , , и . Int. J. Cloud Appl. Comput., 13 (1): 1-16 (2023)A Review on Artificial Intelligence Methodologies for the Forecasting of Crude Oil Price., , , , , , , , и . Intell. Autom. Soft Comput., 22 (3): 449-462 (2016)A Support Vector Machine Classification of Computational Capabilities of 3D Map on Mobile Device for Navigation Aid., , , , , , , , и . Int. J. Interact. Mob. Technol., 10 (3): 4-10 (2016)A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm., , , , , , , и . Appl. Soft Comput., (2016)A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram., , , , , , , , , и 5 other автор(ы). J. Ambient Intell. Humaniz. Comput., 14 (7): 9677-9750 (июля 2023)Detecting ransomware attacks using intelligent algorithms: recent development and next direction from deep learning and big data perspectives., , , , , , , и . J. Ambient Intell. Humaniz. Comput., 12 (9): 8699-8717 (2021)Machine learning algorithms for improving security on touch screen devices: a survey, challenges and new perspectives., , , , , и . Neural Comput. Appl., 32 (17): 13651-13678 (2020)