Results 81 to 90 of about 497,808 (317)
Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics
Advanced Functional Materials, EarlyView.Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti +3 more
wiley +1 more source
Short-Term Traffic Prediction With Deep Neural Networks: A Survey
IEEE Access, 2021 In modern transportation systems, an enormous amount of traffic data is generated every day. This has led to rapid progress in short-term traffic prediction (STTP), in which deep learning methods have recently been applied.
Kyungeun Lee +4 more
doaj +1 more source
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation [PDF]
arXiv, 2023 The analysis of spatiotemporal data is increasingly utilized across diverse domains, including transportation, healthcare, and meteorology. In real-world settings, such data often contain missing elements due to issues like sensor malfunctions and data transmission errors.
arxiv
Appearance-and-Relation Networks for Video Classification
, 2018 Spatiotemporal feature learning in videos is a fundamental problem in computer vision. This paper presents a new architecture, termed as Appearance-and-Relation Network (ARTNet), to learn video representation in an end-to-end manner.
Li, Wei +3 more
core +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks [PDF]
arXiv, 2022 Video-based analysis of facial expressions has been increasingly applied to infer health states of individuals, such as depression and pain. Among the existing approaches, deep learning models composed of structures for multiscale spatiotemporal processing have shown strong potential for encoding facial dynamics.
arxiv
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
, 2017 Automatic visual speech recognition is an interesting problem in pattern recognition especially when audio data is noisy or not readily available.
Ekenel, Hazım Kemal +3 more
core +1 more source
Advanced Functional Materials, EarlyView.Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du +11 more
wiley +1 more source
Spatially Focused Attack against Spatiotemporal Graph Neural Networks [PDF]
arXiv, 2021 Spatiotemporal forecasting plays an essential role in various applications in intelligent transportation systems (ITS), such as route planning, navigation, and traffic control and management. Deep Spatiotemporal graph neural networks (GNNs), which capture both spatial and temporal patterns, have achieved great success in traffic forecasting ...
arxiv
Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation
, 2016 Joint segmentation and classification of fine-grained actions is important for applications of human-robot interaction, video surveillance, and human skill evaluation. However, despite substantial recent progress in large-scale action classification, the
G Navarro +6 more
core +1 more source