Search Results - (( parameters virtualization learning algorithm ) OR ( java segmentation using algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Enhancing hyperparameters of LSTM network models through genetic algorithm for virtual learning environment prediction
Published 2025“…In today's technology-driven era, innovative methods for predicting behaviors and patterns are crucial. Virtual Learning Environments (VLEs) represent a rich domain for exploration due to their abundant data and potential for enhancing learning experiences. …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Parameter Estimation of Lorenz Attractor: A Combined Deep Neural Network and K-Means Clustering Approach
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Evaluation of the Transfer Learning Models in Wafer Defects Classification
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Machine learning model to predict the contact of angle using mineralogy, TOC and process parameters in shale
Published 2021“…A machine learning is needed to predict the contact angle in the shale using the process parameters and TOC and Minerology of the shale. …”
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Artificial neural networks based optimization techniques: A review
Published 2023“…This paper emphasizes enhancing the neural network via optimization algorithms by manipulating its tuned parameters or training parameters to obtain the best structure network pattern to dissolve the problems in the best way. …”
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Design and analysis of an early heart attack detection using openCV
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A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets
Published 2022“…Finally, we evaluate the emotion recognition system by using popular machine learning algorithms and compare them for both intra-subject and inter-subject classification. …”
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PATCH-IQ: A Patch Based Learning Framework For Blind Image Quality Assessment
Published 2017“…However, this approach requires an intensive training phase to optimise the regression parameters. In this paper, we overcome this limitation by proposing an alternative BIQA model that predicts image quality using nearest neighbour methods which have virtually zero training cost. …”
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REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…The partitioning allows allocation of appropriate DVC coding parameters (virtual channel, rate, and quantizer) to each region. …”
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