بدائل البحث:
custom algorithm » control algorithm (توسيع البحث), auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
mesh algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
implementing » implemented (توسيع البحث)
element » elements (توسيع البحث)
custom algorithm » control algorithm (توسيع البحث), auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
mesh algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
implementing » implemented (توسيع البحث)
element » elements (توسيع البحث)
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21
A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
منشور في 2008"…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …"
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article -
22
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
منشور في 2024"…The performance level improvements are practically summarized in both the transmission and reception entities with the help of the proposed hybrid network architecture and the associated Dual Deep Network algorithm. …"
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23
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …"
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24
Blockchain-Based Decentralized Architecture for Software Version Control
منشور في 2023"…The proof of authority (PoA) consensus algorithm will be used to approve the developer communicating modifications to the private blockchain network; the authority will only provide permission and will not be able to add, edit, or delete code files. …"
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25
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26
An Incentivized and Optimized Dynamic Mechanism for Demand Response for Managing Voltage in Distribution Networks
منشور في 2022"…However, the main barriers of DR implementation are the complexities of controlling a large number and different types of residential loads, satisfying customers’ preferences and providing them fair incentives while identifying the optimum DR implementation locations and sizing as well as cooperating with the existing network equipment for the effective voltage management in the networks. …"
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27
Enhancing e-learning through AI: advanced techniques for optimizing student performance
منشور في 2024"…This research highlights the ability of AI to develop adaptable, effective, and successful e-learning environments, promoting enhanced academic achievement and customized learning experiences. The findings demonstrate that CNN outperformed other deep learning and machine learning algorithms in terms of accuracy during the prediction phase, showcasing the advanced capabilities of AI in educational contexts. …"
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28
UML-based regression testing for OO software
منشور في 2010"…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …"
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29
An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services
منشور في 2018"…Further, 414 automatic questions are tested on the QA algorithm using two methods, semantics-based and keyword-based. …"
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30
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
منشور في 2020احصل على النص الكامل
doctoralThesis -
31
THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar
منشور في 2020"…Recent scientific breakthroughs and technological advancements have improved our disease knowledge and altered diagnosis and treatment approaches resulting in a more precise, predictive, preventative and personalized health care that is customized for the individual patient. Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …"
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32
Dynamic multiple node failure recovery in distributed storage systems
منشور في 2018"…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …"
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article