بدائل البحث:
training algorithms » learning algorithms (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
td3 algorithm » rd algorithm (توسيع البحث)
element » elements (توسيع البحث)
training algorithms » learning algorithms (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
td3 algorithm » rd algorithm (توسيع البحث)
element » elements (توسيع البحث)
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Large language models for code completion: A systematic literature review
منشور في 2024"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …"
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Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …"
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article -
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Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter
منشور في 2019"…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …"
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Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
منشور في 2023"…Finally, a design equation that can predict the shear capacity of one-way BFRC-BFRP slabs was proposed based on genetic algorithm. The proposed model showed the best prediction accuracy compared to the available design codes and guidelines with a mean of predicted to experimental shear capacities (V<sub>pred</sub>/V<sub>exp</sub>) ratio of 0.97 and a coefficient of variation of 17.91%.…"
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Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…We show that the results of the trained network agree well with the results of the nonlinear finite element analysis. …"
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Face Recognition in Uncontrolled Indoor Environment
منشور في 2013احصل على النص الكامل
doctoralThesis -
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Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
منشور في 2024"…<p dir="ltr">Mobile devices have become an essential element in our day-to-day lives. The chances of mobile attacks are rapidly increasing with the growing use of mobile devices. …"
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Face Flow: Constrained Optical Flow Framework for Faces
منشور في 2020احصل على النص الكامل
doctoralThesis -
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Multidimensional Gains for Stochastic Approximation
منشور في 2019"…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …"
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Efficient Seismic Volume Compression using the Lifting Scheme
منشور في 2000"…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…"
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article -
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Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer
منشور في 2007احصل على النص الكامل
doctoralThesis -
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Multigrid solvers in reconfigurable hardware. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
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Downlink channel estimation for IMT-DS
منشور في 2001"…To obtain channel estimates during pilot symbols, we propose a chip level adaptive channel estimation which performs better than the conventional method. …"
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Measuring ripple effect for object-oriented programs. (c2004)
منشور في 2004احصل على النص الكامل
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masterThesis -
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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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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. …"