Zobrazeno 1 - 10
of 210
pro vyhledávání: '"Verma, Nishchal K."'
Autor:
Maurya, Seetaram, Verma, Nishchal K.
Various methods for designing input features have been proposed for fault recognition in rotating machines using one-dimensional raw sensor data. The available methods are complex, rely on empirical approaches, and may differ depending on the conditi
Externí odkaz:
http://arxiv.org/abs/2402.09957
Autor:
Sharma, Arun K., Verma, Nishchal K.
Biomedical image classification requires capturing of bio-informatics based on specific feature distribution. In most of such applications, there are mainly challenges due to limited availability of samples for diseased cases and imbalanced nature of
Externí odkaz:
http://arxiv.org/abs/2306.01594
This paper deals with the tracking control problem for a class of unknown pure feedback system with pure state constraints on the state variables and unknown time-varying bounded disturbances. An adaptive controller is presented for such systems for
Externí odkaz:
http://arxiv.org/abs/2210.04211
This paper deals with the tracking control problem for a very simple class of unknown nonlinear systems. In this paper, we presents a design strategy for tracking control of time-varying state constrained nonlinear systems in an adaptive framework. T
Externí odkaz:
http://arxiv.org/abs/2210.04897
Autor:
Sharma, Arun K., Verma, Nishchal K.
The diagnostic performance of most of the deep learning models is greatly affected by the selection of model architecture and hyperparameters. Manual selection of model architecture is not feasible as training and evaluating the different architectur
Externí odkaz:
http://arxiv.org/abs/2111.06885
Autor:
Sharma, Arun K., Verma, Nishchal K.
The performance of a deep neural network (DNN) for fault diagnosis is very much dependent on the network architecture. Also, the diagnostic performance is reduced if the model trained on a laboratory case machine is used on a test dataset from an ind
Externí odkaz:
http://arxiv.org/abs/2109.13479
Autor:
Sharma, Arun K., Verma, Nishchal K.
Publikováno v:
In Engineering Applications of Artificial Intelligence February 2024 128