All Outputs (3)

Plant Disease Detection and Classification by Deep Learning (2019)
Journal Article
Saleem, M. H., Potgieter, J., & Arif, K. M. (2019). Plant Disease Detection and Classification by Deep Learning. Plants, 8(11), 468. https://doi.org/10.3390/plants8110468

Plant diseases affect the growth of their respective species, therefore their early identification is very important. Many Machine Learning (ML) models have been employed for the detection and classification of plant diseases but, after the advanceme... Read More about Plant Disease Detection and Classification by Deep Learning.

Parametric Sensitivity Analyses for Perceived Impedance in Haptic Teleoperation (2019)
Journal Article
Uddin, R., Saleem, M. H., & Ryu, J. (2019). Parametric Sensitivity Analyses for Perceived Impedance in Haptic Teleoperation. International Journal of Control, Automation and Systems, 17(8), 2083-2096. https://doi.org/10.1007/s12555-018-0614-8

In this paper, sensitivity analyses (SA) are performed in order to find the effect of variations of master/slave site dynamics parameters on the perceived impedance in haptic teleoperation in the absence/presence of communication time delays. These a... Read More about Parametric Sensitivity Analyses for Perceived Impedance in Haptic Teleoperation.

Intelligent Control System to Identify Fault in Distribution Network of Smart Grid through Neural Network (2019)
Conference Proceeding
Saleem, M. H., & Uddin, R. (2019). Intelligent Control System to Identify Fault in Distribution Network of Smart Grid through Neural Network.

In distribution network of smart grid there are various type of fault occur in the network, which are challenge for the control system to identify its type of fault, location and restore the network automatically. In this paper we applied neural netw... Read More about Intelligent Control System to Identify Fault in Distribution Network of Smart Grid through Neural Network.