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pro vyhledávání: '"Arun K. Timalsina"'
Publikováno v:
SCITECH Nepal. 13:64-69
With an increasing trend of publishing news online on website, automatic text processing becomes more and more important. Automatic text classification has been a focus of many researchers in different languages for decades. There is a huge amount of
Plagiarism Detection Framework Using Monte Carlo Based Artificial Neural Network for Nepali Language
Publikováno v:
2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS).
This research work develops two frameworks for detecting plagiarism of Nepali language literatures incorporating Monte Carlo based Artificial Neural Network (MCANN) and Backpropagation (BP) neural network, which was applied for the plagiarism detecti
Autor:
Arun K. Timalsina, Ashok Basnet
Publikováno v:
2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS).
News classification is the process of grouping news documents into some predefined categories. Due to the increasing volume of the Nepali news content being generated every day by thousands of online news portals, appropriate classification of these
Publikováno v:
2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS).
EEG(Electroencephalogram) signals generated within the brain can be extracted using sensors. Thus generated signals can be classified based on the feature that are embedded within it. The signals once recognized can act as alternative inputs for user
Autor:
Ram Hari Regmi, Arun K. Timalsina
Publikováno v:
2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS).
Increasing trade volume adds up various challenges and risks for customs to maintain balance between trade facilitation and strong border control. With limited resources and manpower, it’s quite difficult to have exhaustive physical examination of
Autor:
Daya Sagar Baral, Ram Chandra Sapkota, Arun K. Timalsina, Sanjeeb Prasad Panday, Tri Ratna Bajracharya, Aman Shakya, Arbind Kumar Mishra, Bharat Raj Pahari, Subarna Shakya, Babu R. Dawadi, Shashidhar Ram Joshi
Publikováno v:
Journal of the Institute of Engineering; Vol 13 No 1 (2017); 190-200
Accepting the benefits of automation and to avoid the existing issues in semi-automated entrance examination system, Institute of Engineering (IOE) had decided to move into fully automated computer based entrance examination system in 2013. IOE had i
Autor:
Arun K. Timalsina
Publikováno v:
Nepalese Journal of Engineering. 1
Any diagnostic problem solving requires expert knowledge of that subject. As the degree of complexity of the problem rises, knowledge growth should be in both ways extensive and intensive, which is not possible to achieve with a single knowledge sour