Applications of contemporary artificial intelligence technology in forensic odontology as primary forensic identifier: A sco** review
Background Forensic odontology may require a visual or clinical method during
identification. Sometimes it may require forensic experts to refer to the existing technique to …
identification. Sometimes it may require forensic experts to refer to the existing technique to …
The machine learning in lithium-ion batteries: a review
Among energy storage devices (ESDs), lithium-ion batteries (LIBs) have widespread
utilization in cleaner productions. Hence, accurate estimation of the state of LIBs has …
utilization in cleaner productions. Hence, accurate estimation of the state of LIBs has …
Develo** AI literacy for primary and middle school teachers in China: based on a structural equation modeling analysis
L Zhao, X Wu, H Luo - Sustainability, 2022 - mdpi.com
As smart technology promotes the development of various industries, artificial intelligence
(AI) has also become an important driving force for innovation and transformation in …
(AI) has also become an important driving force for innovation and transformation in …
Quantum machine learning for audio classification with applications to healthcare
Accessible rapid COVID-19 testing continues to be necessary and several studies involving
deep neural network (DNN) methods for detection have been published. As part of a …
deep neural network (DNN) methods for detection have been published. As part of a …
Do it the transformer way: a comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification
AG Alharthi, SM Alzahrani - Computers in Biology and Medicine, 2023 - Elsevier
Autism spectrum disorder (ASD) is a condition observed in children who display abnormal
patterns of interaction, behavior, and communication with others. Despite extensive research …
patterns of interaction, behavior, and communication with others. Despite extensive research …
Efficient predictive control method for ORC waste heat recovery system based on recurrent neural network
X Wu, J Qin, J Chen, Y Wang - Applied Thermal Engineering, 2024 - Elsevier
The model predictive control performs well in regulating operating parameters and ensuring
system safety when the organic Rankine cycles are operating with variable heat sources …
system safety when the organic Rankine cycles are operating with variable heat sources …
Towards a Machine Learning Driven Trust Management Heuristic for the Internet of Vehicles
The rapid proliferation of the emerging yet promising notion of the Internet-of-Vehicles (IoV)
has led to the development of a variety of conventional trust assessment schemes to tackle …
has led to the development of a variety of conventional trust assessment schemes to tackle …
[HTML][HTML] Understanding the Growth of Artificial Intelligence in Educational Research through Bibliometric Analysis
The purpose of this study was to investigate research trends in artificial intelligence studies
related to education that were published in the Web of Science database. This review …
related to education that were published in the Web of Science database. This review …
[HTML][HTML] Fault Diagnosis in Electrical Machines for Traction Applications: Current Trends and Challenges
M Pastura, M Zigliotto - Energies, 2024 - mdpi.com
The widespread diffusion of electric vehicles poses new challenges in the field of fault
diagnostics. Past studies have been focused mainly on machines designed for industrial …
diagnostics. Past studies have been focused mainly on machines designed for industrial …
Undergraduate research and education in quantum machine learning
This Work-In-Progress paper describes a program in quantum machine learning launched in
the academic year of 2021-22. The program engaged undergraduate students from STEM …
the academic year of 2021-22. The program engaged undergraduate students from STEM …