Terahertz channel propagation phenomena, measurement techniques and modeling for 6G wireless communication applications: A survey, open challenges and …

D Serghiou, M Khalily, TWC Brown… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The Terahertz (THz) band (0.3-3.0 THz), spans a great portion of the Radio Frequency (RF)
spectrum that is mostly unoccupied and unregulated. It is a potential candidate for …

A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges

Q An, S Rahman, J Zhou, JJ Kang - Sensors, 2023 - mdpi.com
Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

Loading condition monitoring of high-strength bolt connections based on physics-guided deep learning of acoustic emission data

D Li, JH Nie, H Wang, WX Ren - Mechanical systems and signal processing, 2024 - Elsevier
Aiming at life-cycle condition monitoring of high-strength bolt connections, a physics-guided
deep learning framework integrating supervised and unsupervised learning was developed …

A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era

MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …

Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network

Y Che, Y Zheng, Y Wu, X Sui, P Bharadwaj, DI Stroe… - Applied Energy, 2022 - Elsevier
Accurate and reliable prediction of the battery capacity degradation is vital for predictive
health management. This paper proposes a novel framework to improve the accuracy and …

Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …

Channel measurements and models for 6G: current status and future outlook

J Zhang, P Tang, L Yu, T Jiang, L Tian - Frontiers of information technology …, 2020 - Springer
With the commercialization of fifth generation networks worldwide, research into sixth
generation (6G) networks has been launched to meet the demands for high data rates and …

Deep learning based improved classification system for designing tomato harvesting robot

L Zhang, J Jia, G Gui, X Hao, W Gao, M Wang - IEEE Access, 2018 - ieeexplore.ieee.org
Maturity level-based classification system plays an essential role in the design of tomato
harvesting robot. Traditional knowledge-based systems are unable to meet the current …

A Shared Cluster-based Stochastic Channel Model for Integrated Sensing and Communication Systems

Y Liu, J Zhang, Y Zhang, Z Yuan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Integrated Sensing And Communication (ISAC) has been recognized as a promising
technology in the 6G communication. A realistic channel model is a prerequisite for …

Exploring the landscape of hybrid recommendation systems in e-commerce: A systematic literature review

KC Bodduluri, F Palma, A Kurti, I Jusufi… - IEEE …, 2024 - ieeexplore.ieee.org
This article presents a systematic literature review on hybrid recommendation systems
(HRS) in the e-commerce sector, a field characterized by constant innovation and rapid …