Journal ArticleDOI
Digitization of handwritten Devanagari text using CNN transfer learning – A better customer service support
TLDR
In this paper , a Convolutional Neural Network (CNN) was used for digitization of Devanagari handwritten text recognition (DHTR) using 46 classes of characters and each class has two thousand different images.About:
This article is published in Neuroscience Informatics.The article was published on 2022-09-01. It has received 12 citations till now. The article focuses on the topics: Devanagari & Computer science.read more
Citations
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Journal ArticleDOI
An efficient way of text-based emotion analysis from social media using LRA-DNN
Nilesh Shelke,Sushovan Chaudhury,Sudakshina Chakrabarti,Sunil L. Bangare,G. Yogapriya,Pratibha Pandey +5 more
TL;DR: In this article , a Leaky Relu activated Deep Neural Network (LRA-DNN) was proposed for emotion extraction from text, which comes under four categories, such as pre-processing, feature extraction, ranking and classification.
Journal ArticleDOI
A Review of Arthritis Diagnosis Techniques in Artificial Intelligence Era: Current Trends and Research Challenges
TL;DR: A survey of deep learning techniques for the diagnosis of osteoarthritis and rheumatoid arthritis can be found in this article , where the authors identify open problems and research gaps.
Journal ArticleDOI
Multimedia-based emerging technologies and data analytics for Neuroscience as a Service (NaaS)
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A hybrid scheme for AEP based hearing deficiency diagnosis: CWT and convoluted k-nearest neighbour (CKNN) pipeline
TL;DR: In this article , a hybridization scheme, represented as a hybrid convoluted k-nearest neighbor (CKNN) algorithm, consisting of concatenating the convolutional layer of CNN with k-NN classifier, was proposed to detect early hearing conditions.
References
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Journal ArticleDOI
Gradient-based learning applied to document recognition
Yann LeCun,Léon Bottou,Léon Bottou,Yoshua Bengio,Yoshua Bengio,Yoshua Bengio,Patrick Haffner +6 more
TL;DR: In this article, a graph transformer network (GTN) is proposed for handwritten character recognition, which can be used to synthesize a complex decision surface that can classify high-dimensional patterns, such as handwritten characters.
Journal ArticleDOI
Neuronutrient impact of Ayurvedic Rasayana therapy in brain aging
TL;DR: Certain recent studies conducted on these traditional remedies on scientific parameters have shown promising results which have been reviewed in this paper for providing lead for further studies.
Journal ArticleDOI
Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods
Mahesh Jangid,Sumit Srivastava +1 more
TL;DR: A layer-wise technique of DCNN has been employed that helped to achieve the highest recognition accuracy and also get a faster convergence rate and the results are favorable in comparison with those achieved by a shallow technique of handcrafted features and standard DCNN.
Journal ArticleDOI
Handwritten Devanagari Character Recognition using Artificial Neural Network
P.B. Khanale,S.D. Chitnis +1 more
Journal ArticleDOI
DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition
TL;DR: The writing style is a unique characteristic of a human being as it varies from one person to another and handwritten character recognition under the purv...
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