Deep neural networks for spatial-temporal cyber-physical systems: A survey
Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …
computational elements into physical processes to facilitate the control of physical systems …
A review of graph neural network applications in mechanics-related domains
Mechanics-related tasks often present unique challenges in achieving accurate geometric
and physical representations, particularly for non-uniform structures. Graph neural networks …
and physical representations, particularly for non-uniform structures. Graph neural networks …
Idea: A flexible framework of certified unlearning for graph neural networks
Graph Neural Networks (GNNs) have been increasingly deployed in a plethora of
applications. However, the graph data used for training may contain sensitive personal …
applications. However, the graph data used for training may contain sensitive personal …
Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview
Z Rudnicka, J Szczepanski, A Pregowska - Electronics, 2024 - mdpi.com
Recently, artificial intelligence (AI)-based algorithms have revolutionized the medical image
segmentation processes. Thus, the precise segmentation of organs and their lesions may …
segmentation processes. Thus, the precise segmentation of organs and their lesions may …
Towards facing uncertainties in biofuel supply chain networks: a systematic literature review
Biofuel supply chains (BSCs) face diverse uncertainties that pose serious challenges. This
has led to an expanding body of research focused on studying these challenges. Hence …
has led to an expanding body of research focused on studying these challenges. Hence …
图卷积神经网络及其在图像识别领域的应用综述.
李文静， 白静， 彭斌， 杨瞻源 - Journal of Computer …, 2023 - search.ebscohost.com
卷积神经网络被广泛应用于图像识别领域并且展现出强大的特征提取能力,
但它只能处理欧氏空间的结构化数据, 无法适用于非结构化数据的处理. 为应对该限制 …
但它只能处理欧氏空间的结构化数据, 无法适用于非结构化数据的处理. 为应对该限制 …
A new layer structure of cyber-physical systems under the era of digital twin
Cyber-Physical Systems (CPS) are new systems designed to support and synthesize
sensing, communication, and computing components that interact with physical objects so …
sensing, communication, and computing components that interact with physical objects so …
Enhancement of traffic forecasting through graph neural network-based information fusion techniques
To improve forecasting accuracy and capture intricate interactions within transportation
networks, information fusion approaches are crucial for traffic predictions based on graph …
networks, information fusion approaches are crucial for traffic predictions based on graph …
A Spatial-Temporal Graph Convolutional Recurrent Network for Transportation Flow Estimation
Accurate estimation of transportation flow is a challenging task in Intelligent Transportation
Systems (ITS). Transporting data with dynamic spatial-temporal dependencies elevates …
Systems (ITS). Transporting data with dynamic spatial-temporal dependencies elevates …
An all-purpose method for optimal pressure sensor placement in water distribution networks based on graph signal analysis
Many researchers have addressed the challenge of optimal pressure sensor placement for
different purposes, such as leakage detection, model calibration, state estimation, etc …
different purposes, such as leakage detection, model calibration, state estimation, etc …