Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Arup Kumar Mohanty"'
Autor:
Asit Kumar Das, Debahuti Mishra, Kaberi Das, Arup Kumar Mohanty, Mazin Abed Mohammed, Alaa S. Al-Waisy, Seifedine Kadry, Jungeun Kim
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3632 (2022)
In the Forex market, trend trading, where trend traders identify trends and attempt to capture gains through the analysis of an asset’s momentum in a particular direction, is a great way to profit from market movement. When the price of currency is
Externí odkaz:
https://doaj.org/article/643b4f2361064659aec02f502459b476
Publikováno v:
International Journal of Computer Science and Informatics. :1-13
Data Mining is an integral part of KDD (Knowledge Discovery in Databases) process. It deals with discovering unknown patterns and knowledge hidden in data. Classification is a pivotal data mining technique with a very wide range of applications. Now
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44ae10566784b75d454a283d039808f2
https://doi.org/10.47893/ijcsi.2022.1191
https://doi.org/10.47893/ijcsi.2022.1191
The 2019 novel corona virus was declared a global pandemic by the World Health Organization (WHO) on March 11th, 2020. The world is stressed out because of this disease's high infectiousness and transmission mode. A predictive model of the COVID-19 o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ca78b70d46ff0f3a4b7763bd0a04cb3
https://doi.org/10.4018/978-1-6684-4580-8.ch010
https://doi.org/10.4018/978-1-6684-4580-8.ch010
Autor:
Mohammad Alnabhan, Ahmad Khader Habboush, Qasem Abu Al-Haija, Arup Kumar Mohanty, Saumendra Pattnaik, Binod Kumar Pattanayak
Publikováno v:
Mobile Information Systems.
This research utilizes metaheuristic optimization inspired by the Egyptian Vulture Optimization (EVO) technique. Biomedical image segregation is developed to reduce the complex association of hyperparameters of Convolutional Neural networks (CNN). Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::303098ecf11a630a608b0e6a967a0440
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811698729
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02af6bab6b8074a3bc7c3cb165d52f00
https://doi.org/10.1007/978-981-16-9873-6_33
https://doi.org/10.1007/978-981-16-9873-6_33
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811648069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9ea379d261a5ef6660e601a077c5201
https://doi.org/10.1007/978-981-16-4807-6_38
https://doi.org/10.1007/978-981-16-4807-6_38
Autor:
Arup Kumar Mohanty
Publikováno v:
International Journal of Innovative Technology and Exploring Engineering. 8:680-684
The aim of this paper is to model a network and predict the exchange price of United States Dollar to Indian Rupees using daily exchange rates from Dec 18, 1991-Jul 19, 2007. In this paper, Water Cycle Optimization (WCA) technique has been used to op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29ac7e19a576fdcbd011e1d81b5b2e4e
https://doi.org/10.35940/ijitee.j8793.0881019
https://doi.org/10.35940/ijitee.j8793.0881019
Autor:
Arup Kumar Mohanty
Publikováno v:
International Journal of Recent Technology and Engineering (IJRTE). 8:4738-4748
The market of foreign exchange is very huge, complex, and volatile in nature. Prediction task for this market is highly challenging as the data is highly chaotic, volatile and noisy. In this work Artificial Neural Networks (ANN), Functional Link Arti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcc867b25eae19e05125dd6a11ee4e59
https://doi.org/10.35940/ijrte.b3753.078219
https://doi.org/10.35940/ijrte.b3753.078219
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9789811559709
Currency exchange rate forecasting has been the focus of research in the field of engineering and mathematics since the last decade. As the exchange rate data are nonlinear and dynamic in nature, variants of artificial neural network (ANN) models are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e13e30870471eac212ac8760ae9c0e4b
https://doi.org/10.1007/978-981-15-5971-6_19
https://doi.org/10.1007/978-981-15-5971-6_19
Publikováno v:
2019 International Conference on Applied Machine Learning (ICAML).
Exchange rate forecasting is one of the important research domain in financial time series forecasting. The currency exchange rate data are nonlinear and dynamic in nature. This paper focuses on the development of exchange rate forecasting model usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cebc403de343969615822688d7b055c
https://doi.org/10.1109/icaml48257.2019.00030
https://doi.org/10.1109/icaml48257.2019.00030