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Mohammad Ibrahim Sarker

6 papers hereh-index 4133 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.NE2
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most cited3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information

8 citations · 16 across the 6 of their papers we have counts for

collaborators
Showing cs.NEShow all

2 papers · 1 filter

cs.NE2019

Optimizing method for Neural Network based on Genetic Random Weight Change Learning Algorithm

Mohammad Ibrahim Sarker, Zubaer Ibna Mannan, Hyongsuk Kim

Random weight change (RWC) algorithm is extremely component and robust for the hardware implementation of neural networks. RWC and Genetic algorithm (GA) are well known methodologi…

cs.NE2019

Genetic Random Weight Change Algorithm for the Learning of Multilayer Neural Networks

Mohammad Ibraim Sarker, Yali Nie, Hong Yongki +1

A new method to improve the performance of Random weight change (RWC) algorithm based on a simple genetic algorithm, namely, Genetic random weight change (GRWC) is proposed. It is…

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