A comprehensive review of deep learning power in steady-state visual evoked potentials
Brain–computer interfacing (BCI) research, fueled by deep learning, integrates insights from
diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI …
diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI …
The use of islamic spiritual care practices among critically ill adult patients: A systematic review
M Rababa, S Al-Sabbah - Heliyon, 2023 - cell.com
Spiritual care is essential to the healthcare plans of critically ill patients and their families.
However, spiritual care remains neglected and requires healthcare institutions and …
However, spiritual care remains neglected and requires healthcare institutions and …
Optimal Time Window Selection in the Wavelet Signal Domain for Brain–Computer Interfaces in Wheelchair Steering Control
ZT Al-Qaysi, MS Suzani… - … Data Science and …, 2024 - mesopotamian.press
Background and objective: Principally, the procedure of pattern recognition in terms of
segmentation plays a significant role in a BCI-based wheelchair control system for avoiding …
segmentation plays a significant role in a BCI-based wheelchair control system for avoiding …
Generalized Time Domain Prediction Model for Motor Imagery-based Wheelchair Movement Control
ZT Al-Qaysi, MS Suzani… - … Journal of Big Data, 2024 - mesopotamian.press
Brain-computer interface (BCI-MI)-based wheelchair control is, in principle, an appropriate
method for completely paralyzed people with a healthy brain. In a BCI-based wheelchair …
method for completely paralyzed people with a healthy brain. In a BCI-based wheelchair …
A Frequency-Domain Pattern Recognition Model for Motor Imagery-Based Brain-Computer Interface
ZT Al-Qaysi, MS Suzani… - Applied Data …, 2024 - journals.mesopotamian.press
Brain-computer interface (BCI) is an appropriate technique for totally paralyzed people with
a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in …
a healthy brain. BCI based motor imagery (MI) is a common approach and widely used in …
Development of hybrid feature learner model integrating FDOSM for golden subject identification in motor imagery
Brain-computer interfaces (BCIs) based on motor imagery (MI) face challenges due to the
complex nature of brain activity, nonstationary and high-dimensional properties, and …
complex nature of brain activity, nonstationary and high-dimensional properties, and …
[PDF][PDF] Hybrid Model for Motor Imagery Biometric Identification
RA Aljanabi, ZT Al-Qaysi, MA Ahmed… - Iraqi Journal For Computer …, 2024 - iasj.net
Biometric systems are a continuously evolving and promising technological domain that can
be used in automatic systems for the unique and efficient identification and authentication of …
be used in automatic systems for the unique and efficient identification and authentication of …
Taxonomy, Open Challenges, Motivations, and Recommendations in Driver Behavior Recognition: A Systematic Review
Driver behavior has a major role in many of the unpleasant things that happen when driving,
such as crashes or accidents, heavy traffic, abrupt braking, and acceleration and …
such as crashes or accidents, heavy traffic, abrupt braking, and acceleration and …
BAWS3TS: Browsing authentication web-based smartphone using 3D touchscreen sensor
ML Shuwandy, HA Aljubory… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
Modern mobile devices, especially smartphones, have developed rapidly and are widely
adopted by people of all ages. Smartphones can assist users in various activities, ie, from …
adopted by people of all ages. Smartphones can assist users in various activities, ie, from …
Fuzzy-weightedzero-inconsistency, FWZIC, Multi-criteria Decision Making, MCDM, Weighting Methods, Fuzzy Set
MM Salih, RA Yousif - Iraqi Journal for Computer …, 2024 - ijcsm.researchcommons.org
Researchers in various fields have consistently used Multi-Criteria Decision-Making
(MCDM) methods for discipline improvement, employing both standard and novel …
(MCDM) methods for discipline improvement, employing both standard and novel …