Results 211 to 220 of about 176,187 (274)

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions.
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian McAuley, Guandong Xu, Shui Yu   +7 more
wiley   +1 more source

Leveraging Machine Learning Classifiers in Transfer Learning for Few-Shot Modulation Recognition. [PDF]

Sensors (Basel)
Li S, Wang Y, Xiong J, Wang X.
europepmc   +1 more source

A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan, Siyu Wu, Chang Su, Nan Xiang, Zhijie Xu, Yushan Pan   +5 more
wiley   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

An optimized ensemble framework for machinery fault detection in IoT environments. [PDF]

Sci Rep
Devi Gayadri SV, Kanagaraj G, Giri J, Kanan M.   +3 more
europepmc   +1 more source

Examining the Use of Consumer Wearable Devices and Digital Tools for Stress Measurement in College Students: Scoping Review of Methods.

JMIR Mhealth Uhealth
Sathyanarayana A, Amin OB, An J, Onnela JP.   +3 more
europepmc   +1 more source

Multi-output learning for systematic missing value imputation in DNA methylation arrays. [PDF]

Bioinform Adv
Ma T, Nie J, Huang J, Zhang YB, Biernacka JM, Wang L.   +5 more
europepmc   +1 more source

Denoising framework for X‐ray absorption spectroscopy data

Journal of Synchrotron Radiation, EarlyView.
We introduce a high‐performance Python‐based XAS denoising package called XASDenoise, which implements our newly developed stationarity warping method and advanced denoising techniques based on Gaussian process regression and a convolutional autoencoder.X‐ray absorption spectroscopy (XAS) is a powerful tool for probing the structural and electronic ...
Tomas Aidukas, Ilnura Usmanova, Benjamín Béjar Haro, Maarten Nachtegaal, Adam H. Clark   +4 more
wiley   +1 more source

Bioinspired Optimization for Feature Selection in Post-Compliance Risk Prediction. [PDF]

Biomimetics (Basel)
Paz Á, Crawford B, Monfroy E, Rodriguez-Tello E, Barrera-García J, Cisternas-Caneo F, Cortés BL, Lazo Y, Yáñez A, Peña Fritz Á, Soto R.   +10 more
europepmc   +1 more source