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 …
preservation of Government of Iraq records in digital format. In literature, many existing …
Survey On Recognition Hand Gesture By Using Data Mining Algorithms
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 …
gesture detection applications, I've discovered that employing data mining to recognize …
[PDF][PDF] Speaker identification model based on deep neural networks
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 …
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
Epilepsy is a group of neurological disorders that affect normal brain activities and human
behavior. Electroencephalogram based automatic epileptic seizure detection has significant …
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
Analyzing electroencephalography (EEG) signals with machine learning approaches has
become an attractive research domain for linking the brain to the outside world to establish …
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
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 …
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 …
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
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 …
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
Electroencephalography (EEG) sensor plays an important role in developing brain-computer
interfaces (BCI) to enhance human-computer interaction (HCI). Nowadays, various types of …
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
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 …
event related potential (ERP). Electroencephalography (EEG) data during ERP can be used …