A Systematic Review of Using Deep Learning Technology in the Steady‐State Visually Evoked Potential‐Based Brain‐Computer Interface Applications: Current …
The significance of deep learning techniques in relation to steady‐state visually evoked
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
potential‐(SSVEP‐) based brain‐computer interface (BCI) applications is assessed through …
A systematic literature review of fuzzy-weighted zero-inconsistency and fuzzy-decision-by-opinion-score-methods: assessment of the past to inform the future
YR Muhsen, NA Husin, MB Zolkepli… - Journal of Intelligent & …, 2023 - content.iospress.com
The Fuzzy-Weighted Zero-Inconsistency (FWZIC) and Fuzzy-Decision-by-Opinion-Score-
Method (FDOSM) are considered the recent advance methods. FDOSM generates a ranking …
Method (FDOSM) are considered the recent advance methods. FDOSM generates a ranking …
Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications
OS Albahri, MS Al-Samarraay, HA AlSattar… - Neural Computing and …, 2023 - Springer
Intrusion detection systems (IDSs) are commonly employed to mitigate network security
threats in various fields, including federated learning applications within the Internet of …
threats in various fields, including federated learning applications within the Internet of …
Dynamic decision-making framework for benchmarking brain–computer interface applications: a fuzzy-weighted zero-inconsistency method for consistent weights and …
Benchmarking brain–computer interface (BCI) applications, considering all available smart
training environment (STE) criteria, is a challenging task due to the following issues …
training environment (STE) criteria, is a challenging task due to the following issues …
A trustworthy and explainable framework for benchmarking hybrid deep learning models based on chest X-ray analysis in CAD systems
Evaluating the trustworthiness of deep learning-based computer-aided diagnosis (CAD)
systems is challenging. There is a need to optimize trust and performance in model …
systems is challenging. There is a need to optimize trust and performance in model …
The Considerations of Trustworthy AI Components in Generative AI; A Letter to Editor
AS Albahri, YL Khaleel… - … Data Science and …, 2023 - journals.mesopotamian.press
Abstract Dear Editor: In navigating the ever-expanding realms of Artificial Intelligence (AI)
across diverse domains, particularly within the purviews of Generative AI, it becomes …
across diverse domains, particularly within the purviews of Generative AI, it becomes …
The Effect of Digital Business Strategy on Improving Customer Journey: Evidence from Users of Virtual Reality Platforms
MAAHA Al-Eabodi, AAA Zwain - International Multi-Disciplinary …, 2023 - Springer
The current research aims to test the effect of digital business strategy in improving the
customer journey. This study targeted users of virtual reality platforms, namely Roblox and …
customer journey. This study targeted users of virtual reality platforms, namely Roblox and …
Integrated Machine Learning Algorithms and MCDM Techniques in Optimal Ranking of Battery Electric Vehicles
S Sudha, DFX Edwin, M Nivetha - E3S Web of Conferences, 2023 - e3s-conferences.org
The automobile industries across the world of this present age are streamlining the
manufacture of battery electric vehicles (BEV) as a step towards creating pollution free …
manufacture of battery electric vehicles (BEV) as a step towards creating pollution free …