بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
element » elements (توسيع البحث)
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1
Decision-level Gait Fusion for Human Identification at a Distance
منشور في 2014احصل على النص الكامل
doctoralThesis -
2
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3
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4
Teaching–learning-based optimization algorithm: analysis study and its application
منشور في 2024"…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
احصل على النص الكامل
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5
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6
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022"…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. …"
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7
An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm
منشور في 2021"…First after preprocessing input images, the whole feature space (population) is built using a multimodal feature representation technique. Second, a feature level fusion approach is used to combine the features. …"
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
احصل على النص الكامل
احصل على النص الكامل
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10
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…Thus, to identify the best load forecasting method in cluster microgrids, this article implements a variety of machine learning algorithms, including linear regression (quadratic), support vector machines, long short-term memory, and artificial neural networks (ANN) to forecast the load demand in the short term. …"
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12
Artificial neural network algorithms. (c1999)
منشور في 1999احصل على النص الكامل
احصل على النص الكامل
masterThesis -
13
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
منشور في 2025"…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …"
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14
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
منشور في 2025"…While research in ASD diagnosis is evolving through the application of machine learning (ML) techniques, practical implementation in clinical settings has not progressed at the same pace. …"
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16
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Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
منشور في 2012"…The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …"
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احصل على النص الكامل
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Collision-Free Autonomous Navigation Solution for Mobile Wheeled
منشور في 2023احصل على النص الكامل
doctoralThesis -
20
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
منشور في 2021"…We implement a simulation environment to benchmark the proposed distributed DRL-based method against other methods such as Q-Learning (QL) and Deep Q-Networks (DQN), and centralized heuristic power allocation algorithms. …"