Deep Learning-Based Approach
A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA with SWIPT
... V. C ONCLUSIONS The resource allocation problem for a downlink of SWIPT- enabled MC-NOMA system with PDMA scheme has been studied in this work. In particular, we focus on jointly opti- mizing characteristic pattern ...
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A Deep Learning Based Approach to Transliteration
... Byte-Pair based segmentation Byte Pair encoding is a simple data compression technique in which the most common pair of con- secutive bytes of data are replaced with a byte that does not occur within the ...
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Optical Flow and Deep Learning Based Approach to Visual Odometry
... Figure 3.2: Convolutional neural network architecture based on the contractive part of FlowNetS. 3.2 Training Data For this system, ego-motion is estimated from two consecutive video frames. Instead of inputting ...
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Improving TDWZ Correlation Noise Estimation: A Deep Learning based Approach
... paper, deep- learning based correlation noise modeling (DL-CNM) technique that estimates CNM parameters at band level is ...The learning process is carried out on the residual frame which is ...
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A Deep Learning-based Approach for Fault Diagnosis of Roller Element Bearings
... 2,6 Department of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50011 USA 5,6 Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011 USA A BSTRACT ...
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A deep learning-based approach for defect classification with context information in semiconductor manufacturing
... SVMs are used to classify each cluster. Each wafer is finally labeled accordingly to the classification result of each cluster. Generally, the original feature set extracted from wafer maps is high-dimensional. Yu and Lu ...
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A deep learning-based approach for localization of pedicle regions in preoperative CT scans
... It is often difficult or expensive to acquire a large number of clinical volumesets. Therefore, we designed a data augmentation process that could generate a large number of unique training instances based on a ...
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Recognizing Textual Entailment based on Deep Learning Approach
... The approach achieved a relatively high accuracy of ...usually based on only two methods with one acting as primary strategy and the other as a ...are based on multiple methods with voting mechanism ...
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A Deep Learning Approach for Wi-Fi Based People Localization
... proposed deep learning approach with the compressive sensing approach described in section 5, 1000 Monte Carlo runs were performed to evaluate the compressive sensing approach under ...
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Deep Tweets Analyzer Model for Twitter Mood Visualization and Prediction Based Deep Learning Approach
... a Deep model for Twitter opinion (Mood) visualization based Deep Learning ...and Deep Learning framework for Twitter’s opinion mining visualization and ...is based on ...
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A Survey on Deep Learning Based IoT Approach for Precision Crop Suggestion
... technologies. Based on the values generated by the sensor there is a need for an effective technology to be used for improving agricultural productivity, sustainability, and ...
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Arabic Financial Stock Prediction Approach Based On Deep Learning Technique
... words, based on the above, the combination of sentiment analysis and natural language processing could prove ...machine learning algorithms are used to obtain information on the relationship between ...
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A multi-biometric iris recognition system based on a deep learning approach
... efficient deep learning system based on a combination of the CNN and Softmax classifier is proposed and to extract discriminative features from the iris image without any domain knowledge and then ...
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Freeway Travel Time Prediction Research Based on A Deep Learning Approach
... Research Based on A Deep Learning Approach Junfeng Zhang 1,2, a ,Hongxi Chen 1, 2,b ,Hong Zhou 3, c , Zhihai Wu 1,2, d 1 School of Transportation Science and Engineering, Beihang University, ...
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A Deep Learning Approach to Machine Transliteration
... transliteration based on DBNs, which despite not having competitive results can be an important ad- ditional cue for system combination ...is based on sound and valid theories from machine ...are ...
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A Deep Learning Approach to Uncertainty Quantification
... Regression Most machine learning (ML) algorithms are based on supervised learning, that is when both training inputs and outputs are available. Supervised ML problems can be divided into regression ...
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Unsupervised and Transfer Learning Challenge: a Deep Learning Approach
... with Deep Learning algorithms in particular is that the structure of the input distribution P (X) is strongly connected with the structure of the class predictor P (Y |X) for all of the classes Y ...
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Deep learning based approaches for imitation learning.
... Rather than using a single model to reproduce human behaviour, a hierarchical model can be employed that breaks down the learned actions into a number of phases. A classification model can be used to decide which action ...
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A deep learning, image based approach for automated diagnosis for inflammatory skin diseases
... with deep learning network-developed APPs will continue to benefit doctors in real-world clinical practice in dermatological and likely many other types of human ...
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PANDA: prioritization of autism-genes using network-based deep-learning approach
... Graph neural network (GNN) has recently become a promising technique of learn- ing with graph-structured data [52]. GNN is a family of deep learning methods that directly analyze data structured as graphs ...
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