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
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