Building a Smart System for Preservation of Government Records in Digital Form

AI Shaban, MA Farhan… - … International Congress on …, 2022 - ieeexplore.ieee.org
In this research paper, we concentrated on the development of a smart system for the
preservation of Government of Iraq records in digital format. In literature, many existing …

Survey On Recognition Hand Gesture By Using Data Mining Algorithms

LI Khalaf, SA Aswad, SR Ahmed… - … Congress on Human …, 2022 - ieeexplore.ieee.org
We investigated the usage of hand motion recognition using data mining approaches. In
gesture detection applications, I've discovered that employing data mining to recognize …

[PDF][PDF] Speaker identification model based on deep neural networks

ZA Abbood, BT Yasen, MR Ahmed, AD Duru - Iraqi Journal For Computer …, 2022 - iasj.net
This study aims is to establish a small system of text-independent recognition of speakers for
a relatively small group of speakers at a sound stage. The fascinating justification for the …

Epileptic seizure detection in EEG using mutual information-based best individual feature selection

KM Hassan, MR Islam, TT Nguyen, MKI Molla - Expert Systems with …, 2022 - Elsevier
Epilepsy is a group of neurological disorders that affect normal brain activities and human
behavior. Electroencephalogram based automatic epileptic seizure detection has significant …

[HTML][HTML] Investigating feature selection techniques to enhance the performance of EEG-based motor imagery tasks classification

MH Kabir, S Mahmood, A Al Shiam, AS Musa Miah… - Mathematics, 2023 - mdpi.com
Analyzing electroencephalography (EEG) signals with machine learning approaches has
become an attractive research domain for linking the brain to the outside world to establish …

[HTML][HTML] Dynamic fall detection using graph-based spatial temporal convolution and attention network

R Egawa, ASM Miah, K Hirooka, Y Tomioka, J Shin - Electronics, 2023 - mdpi.com
The prevention of falls has become crucial in the modern healthcare domain and in society
for improving ageing and supporting the daily activities of older people. Falling is mainly …

Blockchain: the next direction of digital payment in drug purchase

I Al Barazanchi, HR Abdulshaheed… - … Congress on Human …, 2022 - ieeexplore.ieee.org
Several years ago, an unknown person/group proposed the coined term Bitcoin, described
how the innovation of the blockchain, a peer-to-peer correlated structure, could be used to …

[HTML][HTML] Motor-imagery classification using riemannian geometry with median absolute deviation

ASM Miah, MA Rahim, J Shin - Electronics, 2020 - mdpi.com
Motor imagery (MI) from human brain signals can diagnose or aid specific physical activities
for rehabilitation, recreation, device control, and technology assistance. It is a dynamic state …

Movie oriented positive negative emotion classification from eeg signal using wavelet transformation and machine learning approaches

ASM Miah, J Shin, MAM Hasan… - 2022 IEEE 15th …, 2022 - ieeexplore.ieee.org
Electroencephalography (EEG) sensor plays an important role in developing brain-computer
interfaces (BCI) to enhance human-computer interaction (HCI). Nowadays, various types of …

Event-Related Potential Classification based on EEG data using xDWAN with MDM and KNN

ASM Miah, MA Mouly, C Debnath, J Shin… - … on Computing Science …, 2021 - Springer
A way of measuring a brain response during cognitive, sensory, or motor event is called
event related potential (ERP). Electroencephalography (EEG) data during ERP can be used …