Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)
H.3. Artificial Intelligence
Segmentation of Breast Cancer using Convolutional Neural Network and U-Net Architecture

Saiful Bukhori; Muhammad Almas Bariiqy; Windi Eka Y. R; Januar Adi Putra

Volume 11, Issue 3 , July 2023, , Pages 477-485

https://doi.org/10.22044/jadm.2023.12676.2419

Abstract
  Breast cancer is a disease of abnormal cell proliferation in the breast tissue organs. One method for diagnosing and screening breast cancer is mammography. However, the results of this mammography image have limitations because it has low contrast and high noise and contrast as non-coherence. This research ...  Read More

Automatic Visual Inspection System based on Image Processing and Neural Network for Quality Control of Sandwich Panel

V. Torkzadeh; S. Toosizadeh

Volume 10, Issue 2 , April 2022, , Pages 217-231

https://doi.org/10.22044/jadm.2022.11002.2247

Abstract
  In this study, an automatic system based on image processing methods using features based on convolutional neural networks is proposed to detect the degree of possible dipping and buckling on the sandwich panel surface by a colour camera. The proposed method, by receiving an image of the sandwich panel, ...  Read More

AgriNet: a New Classifying Convolutional Neural Network for Detecting Agricultural Products’ Diseases

F. Salimian Najafabadi; M. T. Sadeghi

Volume 10, Issue 2 , April 2022, , Pages 285-302

https://doi.org/10.22044/jadm.2022.11360.2295

Abstract
  An important sector that has a significant impact on the economies of countries is the agricultural sector. Researchers are trying to improve this sector by using the latest technologies. One of the problems facing farmers in the agricultural activities is plant diseases. If a plant problem is diagnosed ...  Read More

Automatic Grayscale Image Colorization using a Deep Hybrid Model

K. Kiani; R. Hematpour; R. Rastgoo

Volume 9, Issue 3 , July 2021, , Pages 321-328

https://doi.org/10.22044/jadm.2021.9957.2131

Abstract
  Image colorization is an interesting yet challenging task due to the descriptive nature of getting a natural-looking color image from any grayscale image. To tackle this challenge and also have a fully automatic procedure, we propose a Convolutional Neural Network (CNN)-based model to benefit from the ...  Read More

Convolutional Neural Network Equipped with Attention Mechanism and Transfer Learning for Enhancing Performance of Sentiment Analysis

H. Sadr; Mir M. Pedram; M. Teshnehlab

Volume 9, Issue 2 , April 2021, , Pages 141-151

https://doi.org/10.22044/jadm.2021.9618.2100

Abstract
  With the rapid development of textual information on the web, sentiment analysis is changing to an essential analytic tool rather than an academic endeavor and numerous studies have been carried out in recent years to address this issue. By the emergence of deep learning, deep neural networks have attracted ...  Read More

Automatic Facial Expression Recognition Method Using Deep Convolutional Neural Network

Seyedeh H. Erfani

Volume 9, Issue 2 , April 2021, , Pages 153-159

https://doi.org/10.22044/jadm.2020.8801.2018

Abstract
  Facial expressions are part of human language and are often used to convey emotions. Since humans are very different in their emotional representation through various media, the recognition of facial expression becomes a challenging problem in machine learning methods. Emotion and sentiment analysis ...  Read More