activity
20082023
most citedPinched Hysteresis Loops is the Fingerprint of Memristive Devices

22 citations · 38 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2023★ 5 cited

Variation-Aware Semantic Image Synthesis

Mingle Xu, Jaehwan Lee, Sook Yoon +2

Semantic image synthesis (SIS) aims to produce photorealistic images aligning to given conditional semantic layout and has witnessed a significant improvement in recent years. Alth…

eess.IV2019★ 4 cited

Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images

Mohammad Ibrahim Sarker, Hyongsuk Kim, Denis Tarasov +1

This paper presents results of applying Inception v4 deep convolutional neural network to ICIAR-2018 Breast Cancer Classification Grand Challenge, part a. The Challenge task is to…

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.CV2019

Corn leaf detection using Region based convolutional neural network

Mohammad Ibrahim Sarker, Heechan Yang, Hyongsuk Kim

The field of machine learning has become an increasingly budding area of research as more efficient methods are needed in the quest to handle more complex image detection challenge…

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…

cs.CV2019★ 4 cited

Farm land weed detection with region-based deep convolutional neural networks

Mohammad Ibrahim Sarker, Hyongsuk Kim

Machine learning has become a major field of research in order to handle more and more complex image detection problems. Among the existing state-of-the-art CNN models, in this pap…