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)
Robust Vein Recognition against Rotation using Kernel Sparse Representation

A. Nozaripour; H. Soltanizadeh

Volume 9, Issue 4 , November 2021, , Pages 571-582

https://doi.org/10.22044/jadm.2021.10253.2164

Abstract
  Sparse representation due to advantages such as noise-resistant and, having a strong mathematical theory, has been noticed as a powerful tool in recent decades. In this paper, using the sparse representation, kernel trick, and a different technique of the Region of Interest (ROI) extraction which we ...  Read More

A Recommendation System for Finding Experts in Online Scientific Communities

S. Javadi; R. Safa; M. Azizi; Seyed A. Mirroshandel

Volume 8, Issue 4 , November 2020, , Pages 573-584

https://doi.org/10.22044/jadm.2020.9087.2045

Abstract
  Online scientific communities are bases that publish books, journals, and scientific papers, and help promote knowledge. The researchers use search engines to find the given information including scientific papers, an expert to collaborate with, and the publication venue, but in many cases due to search ...  Read More

H.3. Artificial Intelligence
Fast COVID-19 Infection Prediction with In-House Data Using Machine Learning Classification Algorithms: A Case Study of Iran

Ali Rebwar Shabrandi; Ali Rajabzadeh Ghatari; Nader Tavakoli; Mohammad Dehghan Nayeri; Sahar Mirzaei

Volume 11, Issue 4 , November 2023, , Pages 573-585

https://doi.org/10.22044/jadm.2023.13291.2458

Abstract
  To mitigate COVID-19’s overwhelming burden, a rapid and efficient early screening scheme for COVID-19 in the first-line is required. Much research has utilized laboratory tests, CT scans, and X-ray data, which are obstacles to agile and real-time screening. In this study, we propose a user-friendly ...  Read More

Vehicle Type, Color and Speed Detection Implementation by Integrating VGG Neural Network and YOLO algorithm utilizing Raspberry Pi Hardware

Mojtaba Nasehi; Mohsen Ashourian; Hosein Emami

Volume 10, Issue 4 , November 2022, , Pages 579-588

https://doi.org/10.22044/jadm.2022.11915.2338

Abstract
  Vehicle type recognition has been widely used in practical applications such as traffic control, unmanned vehicle control, road taxation, smuggling detection, and so on. In this paper, various techniques such as data augmentation and space filtering have been used to improve and enhance the data. Then, ...  Read More

Hybrid Particle Swarm Optimization with Ant-Lion Optimization: Experimental in Benchmarks and Applications

Z. Hassani; M. Alambardar Meybodi

Volume 9, Issue 4 , November 2021, , Pages 583-595

https://doi.org/10.22044/jadm.2021.10550.2195

Abstract
  A major pitfall in the standard version of Particle Swarm Optimization (PSO) is that it might get stuck in the local optima. To escape this issue, a novel hybrid model based on the combination of PSO and AntLion Optimization (ALO) is proposed in this study. The proposed method, called H-PSO-ALO, uses ...  Read More

H.3.2.6. Games and infotainment
Harnessing Machine Learning for Procedural Content Generation in Gaming: A Comprehensive Review

Shaqayeq Saffari; Morteza Dorrigiv; Farzin Yaghmaee

Volume 12, Issue 4 , November 2024, , Pages 583-597

https://doi.org/10.22044/jadm.2025.15016.2603

Abstract
  Procedural Content Generation (PCG) through automated and algorithmic content generation is an active research field in the gaming industry. Recently, Machine Learning (ML) approaches have played a pivotal role in advancing this area. While recent studies have primarily focused on examining one or a ...  Read More

H.3. Artificial Intelligence
Investigating Shallow and Deep Learning Techniques for Emotion Classification in Short Persian Texts

Mahdi Rasouli; Vahid Kiani

Volume 11, Issue 4 , November 2023, , Pages 587-598

https://doi.org/10.22044/jadm.2023.13675.2485

Abstract
  The identification of emotions in short texts of low-resource languages poses a significant challenge, requiring specialized frameworks and computational intelligence techniques. This paper presents a comprehensive exploration of shallow and deep learning methods for emotion detection in short Persian ...  Read More

G.3.7. Database Machines
A Multi-layered Hidden Markov Model for Real-Time Fraud Detection in Electronic Financial Transactions

Abdul Aziz Danaa Abukari; Mohammed Daabo Ibrahim; Alhassan Abdul-Barik

Volume 11, Issue 4 , November 2023, , Pages 599-608

https://doi.org/10.22044/jadm.2023.11990.2357

Abstract
  Hidden Markov Models (HMMs) are machine learning models that has been applied to a range of real-life applications including intrusion detection, pattern recognition, thermodynamics, statistical mechanics among others. A multi-layered HMMs for real-time fraud detection and prevention whilst reducing ...  Read More

B.3. Communication/Networking and Information Technology
Exploring Impact of Data Noise on IoT Security: a Study using Decision Tree Classification in Intrusion Detection Systems

S. Mojtaba Matinkhah; Roya Morshedi; Akbar Mostafavi

Volume 11, Issue 4 , November 2023, , Pages 609-626

https://doi.org/10.22044/jadm.2023.12964.2442

Abstract
  The Internet of Things (IoT) has emerged as a rapidly growing technology that enables seamless connectivity between a wide variety of devices. However, with this increased connectivity comes an increased risk of cyber-attacks. In recent years, the development of intrusion detection systems (IDS) has ...  Read More

H.3. Artificial Intelligence
Applying Twin-Hybrid Feature Selection Scheme on Transient Multi-Trajectory Data for Transient Stability Prediction

Seyed Alireza Bashiri Mosavi; Omid Khalaf Beigi

Volume 11, Issue 4 , November 2023, , Pages 627-638

https://doi.org/10.22044/jadm.2023.13545.2472

Abstract
  A speedy and accurate transient stability assessment (TSA) is gained by employing efficient machine learning- and statistics-based (MLST) algorithms on transient nonlinear time series space. In the MLST’s world, the feature selection process by forming compacted optimal transient feature space ...  Read More

H.6. Pattern Recognition
Parallel Incremental Mining of Regular-Frequent Patterns from WSNs Big Data

Sadegh Rahmani Rahmani-Boldaji; Mehdi Bateni; Mahmood Mortazavi Dehkordi

Volume 11, Issue 4 , November 2023, , Pages 639-648

https://doi.org/10.22044/jadm.2023.13034.2448

Abstract
  Efficient regular-frequent pattern mining from sensors-produced data has become a challenge. The large volume of data leads to prolonged runtime, thus delaying vital predictions and decision makings which need an immediate response. So, using big data platforms and parallel algorithms is an appropriate ...  Read More

Joint Burst Denoising and Demosaicking via Regularization and an Efficient Alignment

R. Azizi; A. M. Latif

Volume 8, Issue 4 , November 2020

https://doi.org/10.22044/jadm.2020.9193.2055

Abstract
  In this work, we show that an image reconstruction from a burst of individually demosaicked RAW captures propagates demosaicking artifacts throughout the image processing pipeline. Hence, we propose a joint regularization scheme for burst denoising and demosaicking. We model the burst alignment functions ...  Read More

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

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

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

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