بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (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)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
element » elements (توسيع البحث)
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Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"
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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. …"
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Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
منشور في 2025"…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …"
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022الموضوعات: -
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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Decision-level Gait Fusion for Human Identification at a Distance
منشور في 2014احصل على النص الكامل
doctoralThesis -
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Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
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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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Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization
منشور في 2019احصل على النص الكامل
doctoralThesis -
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…The feature fusion approach substantially improved the classification accuracy, with the SVM trained on fused features from the task specific-data achieving an accuracy of 97.3%. …"
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احصل على النص الكامل
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…The feature fusion approach substantially improved the classification accuracy, with the SVM trained on fused features from the task specific-data achieving an accuracy of 97.3%. …"
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