Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges

A Alhammadi, I Shayea, AA El-Saleh… - … Journal of Intelligent …, 2024 - Wiley Online Library
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …

6G and Intelligent Healthcare: Taxonomy, Technologies, Open Issues and Future Research Directions

A Ahad, Z Jiangbina, M Tahir, I Shayea, MA Sheikh… - Internet of Things, 2024 - Elsevier
ABSTRACT A decentralized patient-centric paradigm is gradually replacing the traditional
hospital and specialist-focused healthcare model. Communication technologies have made …

An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID‐19 Diagnosis

SKB Sangeetha, MS Kumar, DK… - … Methods in Medicine, 2022 - Wiley Online Library
As a result of the COVID‐19 outbreak, which has put the world in an unprecedented
predicament, thousands of people have died. Data from structured and unstructured sources …

A novel deep learning-based cooperative communication channel model for wireless underground sensor networks

K Radhakrishnan, D Ramakrishnan, OI Khalaf… - Sensors, 2022 - mdpi.com
Wireless Underground Sensor Networks (WUSNs) have been showing prospective
supervising application domains in the underground region of the earth through sensing …

Design of graph‐based layered learning‐driven model for anomaly detection in distributed cloud IoT network

OI Khalaf, KA Ogudo… - Mobile Information …, 2022 - Wiley Online Library
Within numerous IoT domains, recent IoT proliferation has influenced organizational
activities and business procedures. The number of connected edge devices has increased …

IoT based urban flooding high definition surveillance using concurrent multipath wireless system

R Dhaya, R Kanthavel - Earth science informatics, 2022 - Springer
Flooding is described as an excess of water or sludge over parched soil, and it is caused by
water runoff inside water routes from various water sources, such as canals. Urban flooding …

A deep learning approach to detect microsleep using various forms of eeg signal

SKB Sangeetha, SK Mathivanan… - Mathematical …, 2023 - Wiley Online Library
Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness
behind the wheel. Using EEG technology for driving fatigue detection still presents …

Microsleep Predicting Comparison Between LSTM and ANN Based on the Analysis of Time Series EEG Signal

MM Hasan, MM Hossain, N Sulaiman… - Journal of …, 2024 - jtec.utem.edu.my
A microsleep is an unintentional, transient loss of consciousness correlated with sleep that
lasts up to fifteen seconds. Electroencephalogram (EEG), recordings have been extensively …

A Deep Learning Approach for Wireless Network Performance Classification Based on UAV Mobility Features

Y Bai, D Yu, X Zhang, M Chai, G Liu, J Du, L Wang - Drones, 2023 - mdpi.com
The unmanned aerial vehicle (UAV) has drawn attention from the military and researchers
worldwide, which has advantages such as robust survivability and execution ability. Mobility …

The Application of 6G and Augmented Reality Technology in Education and Training

Y Zhang, MFAB Azizui, C Yan - Wireless Personal Communications, 2024 - Springer
The short evolution of 6G and augmented reality (AR) technology heralds a transformative
era in education and training, promising to redefine traditional learning paradigms using …