Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review
Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that is increasingly applied
to several medical diagnosis tasks, including a wide range of diseases. Importantly, various …
to several medical diagnosis tasks, including a wide range of diseases. Importantly, various …
Parkinson's Disease Diagnosis Using Deep Learning: A Bibliometric Analysis and Literature Review
Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
Intelligent metaverse scene content construction
J Wang, S Chen, Y Liu, R Lau - IEEE Access, 2023 - ieeexplore.ieee.org
The integration of artificial intelligence (AI) and virtual reality (VR) has revolutionized
research across various scientific fields, with AI-driven VR simulations finding applications in …
research across various scientific fields, with AI-driven VR simulations finding applications in …
Blockchain for AI-enabled industrial IoT with 5G network
The world is advancing to a new digitalized world that has one of the most powerful
technologies that ever existed in human history. These technologies are making humans …
technologies that ever existed in human history. These technologies are making humans …
SLAM-OR: simultaneous localization, mapping and object recognition using video sensors data in open environments from the sparse points cloud
P Mazurek, T Hachaj - Sensors, 2021 - mdpi.com
In this paper, we propose a novel approach that enables simultaneous localization, mapping
(SLAM) and objects recognition using visual sensors data in open environments that is …
(SLAM) and objects recognition using visual sensors data in open environments that is …
Design and implementation of reinforcement learning‐based intelligent jamming system
S Zhang, H Tian, X Chen, Z Du, L Huang… - IET …, 2020 - Wiley Online Library
Here the intelligent jammer issue is studied. With the rapid development of cognitive radio
technology, current cognitive terminals can adaptively or intelligently switch channel by …
technology, current cognitive terminals can adaptively or intelligently switch channel by …
A novel varying-parameter periodic rhythm neural network for solving time-varying matrix equation in finite energy noise environment and its application to robot arm
C Li, B Zheng, Q Ou, Q Wang, C Yue, L Chen… - Neural Computing and …, 2023 - Springer
Solving matrix equation with noise interference is a challenging problem in mathematical
and engineering applications. Unlike the traditional recurrent neural network, a novel …
and engineering applications. Unlike the traditional recurrent neural network, a novel …
Survey and Tutorial on Hybrid Human-Artificial Intelligence
The growing computing power, easy acquisition of large-scale data, and constantly
improved algorithms have led to a new wave of artificial intelligence (AI) applications, which …
improved algorithms have led to a new wave of artificial intelligence (AI) applications, which …
Emotion detection using generative adversarial network
With the rapid design and development of innovative technologies and techniques for audio,
text, and image processing, several effective and efficient deep learning methods are …
text, and image processing, several effective and efficient deep learning methods are …
高速动车组强耦合模型的分布式滑模控制策略
李中奇， 金柏， 杨辉， 谭畅， 付雅婷 - 自动化学报, 2020 - aas.net.cn
高速动车组是由多节车辆与钩缓装置链接而成的复杂系统. 将钩缓装置等效成弹簧− 阻尼器系统,
分析动车组运行过程中钩缓装置对相邻车辆作用的动力学机理, 明确作用方式 …
分析动车组运行过程中钩缓装置对相邻车辆作用的动力学机理, 明确作用方式 …