Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jaison Mulerikkal"'
Autor:
Deepa Merlin Dixon K, Binu Ayyappan, Jaison Mulerikkal, Vinith Rejathalal, Sajanraj Thandassery
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:9146-9156
This paper deals with an intelligent data analytics platform - Jaison-Paul Data Analytics Platform (JP-DAP) - for metro rail transport systems. JP-DAP is intended to ensure smooth functioning, improved customer experience, ridership forecasting, and
Publikováno v:
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems.
Autor:
Lakshmi Naryanan, Nazeer Shaik, S. Sivasubramanian, Jaison Mulerikkal, S. Markkandan, Beulah Jackson
Publikováno v:
Intelligent Automation & Soft Computing. 32:361-375
Publikováno v:
Neural Computing and Applications. 34:983-994
In the field of transportation planning and management, passenger flow analysis is a significant problem with a wide range of applications. The prediction performance of forecast models is hence cardinal to any software analytic system. A predominant
Publikováno v:
Neural Network World. 31:173-189
Autor:
G. Sasikala, M. Laavanya, B. Sathyasri, C. Supraja, V. Mahalakshmi, S. S. Sreeja Mole, Jaison Mulerikkal, S. Chidambaranathan, C. Arvind, K. Srihari, Minilu Dejene
Publikováno v:
Wireless Communications and Mobile Computing.
There has been an increase in credit card fraud as e-commerce has become more widespread. Financial transactions are essential to our economy, so detecting bank fraud is essential. Experiments on automated and real-time fraud detection are needed her
Publikováno v:
Data Management, Analytics and Innovation ISBN: 9789811629334
Most of the people in India give less care to safety rules. As we all know passengers are not allowed to cross the yellow line in metro stations, there arises a need for an alert system. The proposed system focuses on the detection of moving objects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7f9a15dcca87e945f48516da4946aa9
https://doi.org/10.1007/978-981-16-2934-1_12
https://doi.org/10.1007/978-981-16-2934-1_12