SRM UNIVERSITY FACULTY OF ENGINEERING AND TECHNOLOGY SCHOOL - Course Plan for Artificial IntelligenceMid September
Artificial intelligence methods have been employed to overcome the effects of parameter variation on the drive control. Comparison of results with classical approaches shows a significant improvement in performance of the SRM drive.关键词: error compensation intelligent control machine control reluctance ...
embedded systems or computer forensics to choose from. Most of these courses are offered in close collaboration with foreign universities. Even at UG level specialized engineering programs like Artificial Intelligence, Big Data Analytics, IoT etc. are offered. All the programs offered are approved by...
SRM Introduces Artificial Intelligence Offering to Help Financial Institutions Safely Adopt AI Solutions MEMPHIS, Tenn., May 29, 2024 – SRM (Strategic Resource Management, Inc.) announced the launch of a suite of Artificial Intelligence (AI) advisory services focused on… Empty heading SRM Acquires...
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· Min Sun (sunmin@cs.washington.edu), University of Washington, · Michael Stark (mst@stanford.edu), Max Planck Institute for Informatics, · Silvio Savarese (ssilvio@stanford.edu), Stanford University. Deadlines Submission deadline: May 15, 2014 ...
Furthermore, a machine learning algorithm with a convolutional neuralnetwork helps to train the artificial intelligence model to recognize the worker's gestures. Here, four typesof gestures were fixed, which helped the workers communicate. These gestures have been labeled GOOD,NOT GOOD, DOING FINE,...
This paper introduces the problem of parameter variation in mass\nproduction of switched reluctance motor (SRM) drive. Eccentricity has\nbeen chosen as an example to show the effects of manufacturing\ntolerances on the steady state and dynamics of the SRM drives.\nArtificial intelligence methods ...