Volume 13 (2025)
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)

Technical Paper H.3. Artificial Intelligence
Improving the Hierarchical Classification of Protein Families and Model Interpretation with the Grad-CAM Method and Transformers

Naeimeh Mohammad Karimi; Mehdi Rezaeian

Articles in Press, Accepted Manuscript, Available Online from 30 April 2025

https://doi.org/10.22044/jadm.2025.15493.2667

Abstract
  In the era of massive data, analyzing bioinformatics fields and discovering its functions are very important. The rate of sequence generation using sequence generation techniques is increasing rapidly, and researchers are faced with many unknown functions. One of the essential operations in bioinformatics ...  Read More

Original/Review Paper H.5. Image Processing and Computer Vision
A Phenology Based Paddy Rice Mapping by Correlation Analysis on Sentinel-1/2 Imagery in Fragmented Lands Using GEE Platform

Fateme Namazi; Mehdi Ezoji; Ebadat Ghanbari Parmehr

Articles in Press, Accepted Manuscript, Available Online from 03 May 2025

https://doi.org/10.22044/jadm.2025.15379.2639

Abstract
  Paddy fields in the north of Iran are highly fragmented, leading to challenges in accurately mapping them using remote sensing techniques. Cloudy weather often degrades image quality or renders images unusable, further complicating monitoring efforts. This paper presents a novel paddy rice mapping method ...  Read More

Technical Paper B.3. Communication/Networking and Information Technology
Anomaly Detection in IoT Traffic in the Presence of Gaussian Noise Using Deep Neural Networks

Roya Morshedi; S. Mojtaba Matinkhah

Articles in Press, Accepted Manuscript, Available Online from 06 May 2025

https://doi.org/10.22044/jadm.2025.15672.2684

Abstract
  The Internet of Things (IoT) is a rapidly growing domain essential for modern smart services. However, resource limitations in IoT nodes create significant security vulnerabilities, making them prone to cyberattacks. Deep learning models have emerged as effective tools for detecting anomalies in IoT ...  Read More

Applied Article H.5.9. Scene Analysis
Attention-HAR: Advanced Human Activity Recognition Using a Deep ‎Learning Model with an Integrated Attention Mechanism

Navid Raisi; Mahdi Rezaei; Behrooz Masoumi

Articles in Press, Accepted Manuscript, Available Online from 28 May 2025

https://doi.org/10.22044/jadm.2025.15658.2683

Abstract
  Human Activity Recognition (HAR) using computer vision is an ‎expanding field with diverse applications, including healthcare, ‎transportation, and human-computer interaction. While classical ‎approaches such as Support Vector Machines (SVM), Histogram ‎of Oriented Gradients (HOG), and ...  Read More