41 citations · 81 across the 6 of their papers we have counts for
15 papers
Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum
Armin Masoumian, Pezhman kazemi, Mohammad Chehreghani Montazer +2
The inverted pendulum is a non-linear unbalanced system that needs to be controlled using motors to achieve stability and equilibrium. The inverted pendulum is constructed with Leg…
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time
Armin Masoumian, Pezhman kazemi, Mohammad Chehreghani Montazer +2
The objective of this paper is to describe an approach to detect the slip and contact force in real-time feedback. In this novel approach, the DAVIS camera is used as a vision tact…
Absolute distance prediction based on deep learning object detection and monocular depth estimation models
Armin Masoumian, David G. F. Marei, Saddam Abdulwahab +3
Determining the distance between the objects in a scene and the camera sensor from 2D images is feasible by estimating depth images using stereo cameras or 3D cameras. The outcome…
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation
Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser +2
Lung cancer is deadly cancer that causes millions of deaths every year around the world. Accurate lung nodule detection and segmentation in computed tomography (CT) images is the m…
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation
Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan +4
In this paper, we propose an efficient blood vessel segmentation method for the eye fundus images using adversarial learning with multiscale features and kernel factorization. In t…
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser +5
This paper proposes an efficient solution for tumor segmentation and classification in breast ultrasound (BUS) images. We propose to add an atrous convolution layer to the conditio…