Deep Learning Approaches
A Review on Deep Learning Approaches to Image Classification and Object Segmentation
... Abstract: Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent ...large-scale deep ...
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Changing the learning environment to promote deep learning approaches in first year accounting students
... the learning environment to promote deep learning approaches in first-year accounting students ABSTRACT Developing deep approaches to learning is claimed to enhance ...
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Patch-based deep learning approaches for artefact detection of endoscopic images
... and Qian, Yu (2019) Patch-based deep learning approaches for artefact detection of endoscopic images.. In: Endoscopic artefact detection challenge 2019 (EAD2019),.[r] ...
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Detecting Traffic Information From Social Media Texts With Deep Learning Approaches
... machine learning problem of short text ...itive approaches, including the support vector machine (SVM) model based on a bag of n-gram features, the SVM model based on word vector features, and the ...
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Deep Learning: Approaches and Challenges
... popular deep learning tools and libraries that are available to construct and execute efficiently deep learning ...Environment, deep learning toolk- its provide a development ...
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A Survey on Deep Learning Approaches in Healthcare
... Deep learning has in nearby years put a getting worked up new general direction in machine ...of deep learning are very much established in the traditional neural system (NN) ...NNs, ...
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Deep Learning Approaches to Text Production
... Shashi Narayan is a research associate at the School of Informatics at the University of Edinburgh. His research focuses on natural language generation, understanding and structured predictions. A major aim of his ...
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Application of Deep Learning Approaches in SAR ATR
... those approaches enable significantly improved performance for SAR ...the deep learning method in the field of automatic target recognition for SAR images and the nature of the university are ...
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Advanced deep learning approaches for biosingnals applications
... -xvi- Abstract A wide gap exists between clinical application results and those from laboratory observations concerning hand rehabilitation devices. In most instances, laboratory observations show superior outcomes the ...
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Potential deep learning approaches for the physical layer
... As said, 5G brings most stringent requirements when catering to the advanced applications and services which will be supported by it. For example, ultra-reliable low- latency communication (URLLC), one category out of ...
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Are Deep Learning Approaches Suitable for Natural Language Processing?
... Machine Learning (ML) is a robust AI tool, which has shown its usefulness in our daily lives, for example, with technologies used in search engines, image understand- ing, predictive analytics, transforming speech ...
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A Brief Bibliometric Survey of Leukemia Detection by Machine Learning and Deep Learning Approaches
... Detection and diagnosis of leukemia is best possible by microscopic analysis of blood cells[]. The following figure shows how the morphological changes indicate the leukemia cells from normal cells. The body’s ...
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Deep learning approaches to aircraft maintenance, repair and overhaul: a review
... using deep learning techniques, however, have demonstrated its usefulness in assisting on the analysis aircraft health ...on deep learning architectures and their application in aircraft ...
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Botnet detection in the internet of things using deep learning approaches.
... a Deep Bidirectional Long Short Term Memory based RNN (BLSTM-RNN) can be used which provides promising results for text ...since deep neural networks require arrays to be of equal length, we needed to find ...
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A Survey To Detect Financial Fraud Using Deep Learning Approaches
... the approaches that use profound learning and timely analysis of existing methods for the detection of payment ...a deep understanding of fraud are ...
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A Survey On Deep Learning Approaches For Vehicle And Number Plate Detection
... machine learning approach for processing this ...various approaches of the methods also to give a perspective of different approaches used for the detection of vehicles using different ...
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Beyond PCA: Deep Learning Approaches for Face Modeling and Aging
... developing deep generative models that are able to interpret the temporal relationship between images in a face ...a deep convolutional network while keeping the advantages of probabilistic models with ...
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Overcomplete Dictionary and Deep Learning Approaches to Image and Video Analysis
... We cannot solve the above optimization problem simply using the K-SVD algorithm [1] since we need to optimize both the dictionary D and the representation matrix Λ. Similar to many multi- variable optimization problems, ...
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A Systematic Review of Deep Learning Approaches to Educational Data Mining
... of learning items to recommend to a student, and this recommendation largely depends on the background knowledge, abilities, and goals of the ...of learning (such as the sequences that can be found in a ...
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Introduction to the special issue on deep learning approaches for machine translation
... (MT), deep learning was first introduced in stan- dard statistical ...how deep learning has been gradually introduced in ...of deep learning in statistical MT; development of the ...
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