Navigating the metaverse: unraveling the impact of artificial intelligence—a comprehensive review and gap analysis
In response to the burgeoning interest in the Metaverse—a virtual reality-driven immersive
digital world—this study delves into the pivotal role of AI in shaping its functionalities and …
digital world—this study delves into the pivotal role of AI in shaping its functionalities and …
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 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 …
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …
[HTML][HTML] Exploring decision-making techniques for evaluation and benchmarking of energy system integration frameworks for achieving a sustainable energy future
Abstract Energy Systems Integration (ESI) involves coordinating and planning energy
systems to provide reliable and affordable energy services while minimizing environmental …
systems to provide reliable and affordable energy services while minimizing environmental …
A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set
The modeling of smart training environments (STEs) for motor imagery-based brain–
computer interface (MI-BCI) falls under the multi-attribute decision analysis (MADA) due to …
computer interface (MI-BCI) falls under the multi-attribute decision analysis (MADA) due to …
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 …
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 …
Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based …
Autism spectrum disorder (ASD) presents challenges for accurate diagnosis, prompting
researchers to search for an optimal diagnostic process. Feature selection (FS) approaches …
researchers to search for an optimal diagnostic process. Feature selection (FS) approaches …
Machine learning-based new approach to films review
The main purpose of Sentiment Analysis (SA) is to derive useful insights from large amounts
of unstructured data compiled from various sources. This analysis helps to interpret and …
of unstructured data compiled from various sources. This analysis helps to interpret and …