بدائل البحث:
implementing forest » implementing iot (توسيع البحث)
forest algorithm » firefly algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
b algorithm » _ algorithms (توسيع البحث), rd algorithm (توسيع البحث)
element b » elements _ (توسيع البحث), clement k (توسيع البحث)
implementing forest » implementing iot (توسيع البحث)
forest algorithm » firefly algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
b algorithm » _ algorithms (توسيع البحث), rd algorithm (توسيع البحث)
element b » elements _ (توسيع البحث), clement k (توسيع البحث)
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FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2020"…The results of the conducted experiments indicate that random forest outperforms other algorithms achieving a maximum accuracy of 98.5% and an F-score of 0.932. …"
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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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FPGA-Based Network Traffic Classification Using Machine Learning
منشور في 2019احصل على النص الكامل
doctoralThesis -
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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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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS
منشور في 2020احصل على النص الكامل
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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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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
منشور في 2025"…The paper uses naive Bayes, Support Vector Machine (SVM), and Random Forest (RF) as classifiers after careful investigation. …"
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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
منشور في 2019"…The reported accuracy dramatically outperforms the previous algorithms, including gradient tree boosting (GTB), random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), and linear discriminant analysis (LDA). …"
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Developing a UAE-Based Disputes Prediction Model using Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
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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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Face Recognition in Uncontrolled Indoor Environment
منشور في 2013احصل على النص الكامل
doctoralThesis -
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
منشور في 2024احصل على النص الكامل
doctoralThesis -
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Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array
منشور في 2022"…The antenna is comprised of metamaterial-loaded with three substrate layers, including two air gaps. One 1 × 4 MTM array element is used in the top layer and middle layer, and one 3 × 2 MTM array element is used in the bottom layer. …"
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Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
منشور في 2021احصل على النص الكامل
doctoralThesis -
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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