2 citations · 3 across the 10 of their papers we have counts for
10 papers
IoT-Enhanced CNN-Based Labelled Crack Detection for Additive Manufacturing Image Annotation in Industry 4.0
Mohsen Asghari Ilani, Yaser Mike Banad
This paper presents an IoT-enhanced deep learning framework for automated crack detection in Additive Manufacturing (AM) surfaces using convolutional neural networks (CNNs). By int…
Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN
Mohsen Asghari Ilani, Yaser M. Banad
Artificial intelligence (AI)-powered deep learning has advanced brain tumor diagnosis in Internet of Things (IoT)-healthcare systems, achieving high accuracy with large datasets. B…
LabelImg: CNN-Based Surface Defect Detection
Mohsen Asghari Ilani, Yaser Mike Banad
In the journey of computer vision system development, the acquisition and utilization of annotated images play a central role, providing information about object identity, spatial…
AM-DefectNet: Additive Manufacturing Defect Classification Using Machine Learning -- A comparative Study
Mohsen Asghari Ilani, Yaser Mike Banad
Additive Manufacturing (AM) processes present challenges in monitoring and controlling material properties and process parameters, affecting production quality and defect detection…
TransMatch: A Transfer-Learning Framework for Defect Detection in Laser Powder Bed Fusion Additive Manufacturing
Mohsen Asghari Ilani, Yaser Mike Banad
Surface defects in Laser Powder Bed Fusion (LPBF) pose significant risks to the structural integrity of additively manufactured components. This paper introduces TransMatch, a nove…
COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach
Mohsen Asghari Ilani, Saba Moftakhar Tehran, Ashkan Kavei +1
The ongoing COVID-19 pandemic continues to pose significant challenges to global public health, despite the widespread availability of vaccines. Early detection of the disease rema…
Exploring Machine Learning Models for Lung Cancer Level Classification: A comparative ML Approach
Mohsen Asghari Ilani, Saba Moftakhar Tehran, Ashkan Kavei +1
This paper explores machine learning (ML) models for classifying lung cancer levels to improve diagnostic accuracy and prognosis. Through parameter tuning and rigorous evaluation,…
Automatic Image Annotation (AIA) of AlmondNet-20 Method for Almond Detection by Improved CNN-based Model
Mohsen Asghari Ilani, Saba Moftakhar Tehran, Ashkan Kavei +1
In response to the burgeoning global demand for premium agricultural products, particularly within the competitive nut market, this paper introduces an innovative methodology aimed…
CNN-based Labelled Crack Detection for Image Annotation
Mohsen Asghari Ilani, Leila Amini, Hossein Karimi +1
Numerous image processing techniques (IPTs) have been employed to detect crack defects, offering an alternative to human-conducted onsite inspections. These IPTs manipulate images…
Modeling Melt Pool Geometry in Metal Additive Manufacturing Using Goldak's Semi-Ellipsoidal Heat Source: A Data-driven Computational Approach
Mohsen Asghari Ilani, Yaser Mike Banad
This analytical solution, based on Goldak's Semi-Ellipsoidal Heat Source model, captures the dynamic temperature evolution from a semi-ellipsoidal power density moving heat source…