Zobrazeno 1 - 10
of 20
pro vyhledávání: '"H. S. Hota"'
Publikováno v:
Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development ISBN: 9781003386599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ce7f061f98ebe549dd0d8899d46f46
https://doi.org/10.1201/9781003386599-15
https://doi.org/10.1201/9781003386599-15
Publikováno v:
Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development ISBN: 9781003386599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e8abb5b70a0ac20ad4588a8672d4423
https://doi.org/10.1201/9781003386599-17
https://doi.org/10.1201/9781003386599-17
Publikováno v:
International Journal of System Assurance Engineering and Management
Traditional statistical as well as artificial intelligence techniques are widely used for stock market forecasting. Due to the nonlinearity in stock data, a model developed using the traditional or a single intelligent technique may not accurately fo
Publikováno v:
International Journal of System Assurance Engineering and Management.
Artificial Neural Network (ANN) techniques are often used for time-series data forecasting, and Fuzzy Logic (FL) is integrated with the ANN to improve forecasting. This research aims to develop forecasting models using a hybrid approach of ANN and FL
This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced. The content addresses topics within the scope of the book from the ground up, providing readers with a trustworthy source of theoretical
COVID-19 is a kind of virus of the Corona family originated from Wuhan, China, and spread over more than 215 countries in the world, more than 2.3 lakhs people died, and more than 32 lakhs are affected globally till date and numbers are continuously
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25b6a69f2bab0355a4f86a0da534af64
https://doi.org/10.1016/b978-0-12-824536-1.00015-0
https://doi.org/10.1016/b978-0-12-824536-1.00015-0
Forecasting about the Novel coronavirus disease 2019 (COVID-19) pandemic involves high uncertainty and may be affected by measures taken by the government to fight the disease. This research explores machine learning (ML) techniques to forecast the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47fa5ab67b9df94fd2da8e928f8d8450
https://doi.org/10.1016/b978-0-12-824536-1.00030-7
https://doi.org/10.1016/b978-0-12-824536-1.00030-7
Autor:
Tarun Dhar Diwan, Siddartha Choubey, H. S. Hota, S. B Goyal, Sajjad Shaukat Jamal, Piyush Kumar Shukla, Basant Tiwari
Publikováno v:
Mobile Information Systems, Vol 2021 (2021)
Identification of anomaly and malicious traffic in the Internet of things (IoT) network is essential for IoT security. Tracking and blocking unwanted traffic flows in the IoT network is required to design a framework for the identification of attacks
Publikováno v:
Procedia Computer Science. 132:900-907
Phishing E-mail is an unwanted E-mail, sent by the phishers to get the sensitive information like password, account number and credit card details from users. This research work emphasizes on constructing an ensemble Machine Learning (ML) based model
Publikováno v:
International Journal of Computer Applications. 149:9-14