( en | de | ru )

 

Disambiguation of "Rajakumar, M. P."

Author of the publication

copydeleteadd this publication to your clipboard
Health monitoring and fault prediction using a lightweight deep convolutional neural network optimized by Levy flight optimization algorithm.

, , and . Neural Comput. Appl., 33 (19): 12513-12534 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Patrick M P Prokopczuk

Constantin P M Kahn

Berry P M Dongelmans

Constantin P M Kahn

Andreas P M Weber

 

Other publications of authors with the same name

Dynamic differential annealing-based anti-spoofing model for fingerprint detection using CNN., , and . Neural Comput. Appl., 34 (11): 8617-8633 (2022)Health monitoring and fault prediction using a lightweight deep convolutional neural network optimized by Levy flight optimization algorithm., , and . Neural Comput. Appl., 33 (19): 12513-12534 (2021)Medical Image Segmentation and Classification Using Modified DoubleU-Net and PolyNet Deep Neural Networks., , , and . Int. J. Pattern Recognit. Artif. Intell., 37 (13): 2357013:1-2357013:30 (October 2023)Alzheimer's Disease Segmentation and Classification on MRI Brain Images Using Enhanced Expectation Maximization Adaptive Histogram (EEM-AH) and Machine Learning., , , and . Inf. Technol. Control., 51 (4): 786-800 (2022)Deep CNN with Hybrid Binary Local Search and Particle Swarm Optimizer for Exudates Classification from Fundus Images., , and . J. Digit. Imaging, 35 (1): 56-67 (2022)Novel Machine Learning for Human Actions Classification Using Histogram of Oriented Gradients and Sparse Representation., , , and . Inf. Technol. Control., 50 (4): 686-705 (2021)HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification., , and . Neural Comput. Appl., 33 (15): 9677-9690 (2021)