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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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3
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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Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems
منشور في 2023"…In this paper, a novel hybrid optimization algorithm is proposed to solve various benchmark functions, which is called IPDOA. …"
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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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Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
منشور في 2023"…The method is firstly developed in a centralized scheme and then extended to a distributed framework using appropriate asymptotically convergent consensus algorithms. Therefore, the asymptotic convergence of the designed distributed algorithm to the centralized one is guaranteed. …"
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Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
منشور في 2013احصل على النص الكامل
doctoralThesis -
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Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
منشور في 2017احصل على النص الكامل
doctoralThesis -
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Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…We found that multimodality fusion models outperformed traditional single-modality models for the same task. …"
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…This work proposes various machine learning methods, including transfer learning via fine-tuning, transfer learning via feature extraction, ensembles of deep convolutional neural network (CNN) models, and fusion of CNN features, to develop a preliminary dysgraphia diagnosis system based on handwritten images. …"
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…This work proposes various machine learning methods, including transfer learning via fine-tuning, transfer learning via feature extraction, ensembles of deep convolutional neural network (CNN) models, and fusion of CNN features, to develop a preliminary dysgraphia diagnosis system based on handwritten images. …"
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Computational evluation of protein energy functions
منشور في 2014"…A protein is characterized by its 3D structure, which defines its biological function. Proteins fold into 3D structures in a way that leads to low-energy state. …"
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conferenceObject -
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A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022"…The proposed energy-efficient routing protocol is based on an enhanced genetic algorithm and data fusion technique. In the proposed energy-efficient routing protocol, an existing genetic algorithm is enhanced by adding an encoding strategy, a crossover procedure, and an improved mutation operation that helps determine the nodes. …"
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Evolution Of Activation Functions for Neural Architecture Search
منشور في 2020"…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …"
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masterThesis -
17
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Stochastic evolution algorithm for technology mapping
منشور في 1998"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …"
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Evolutionary algorithm for protein structure prediction
منشور في 2010"…A protein is characterized by its 3D structure, which defines its biological function. The protein structure prediction problem has real-world significance where several diseases are associated with the wrong folding of proteins. …"
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conferenceObject