Results 221 to 230 of about 8,486 (262)

StratGAN: Conditional Adversarial Network for Permittivity Inversion of Borehole Radar Data in Stratified Media. [PDF]

Sensors (Basel)
Qing S, Yang D, Persico R, Guo C, Hu C, Huo J, Tong J, Liang J, Zhao Q.   +8 more
europepmc   +1 more source

Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun, Bojie Fan, Bo Yin, Jie Nie, Anan Liu   +4 more
wiley   +1 more source

Investigation of the Robustness and Transferability of Adversarial Patches in Multi-View Infrared Target Detection. [PDF]

J Imaging
Zhou Q, Zhou Z, Zhang Z, Luo W, Xiao F, Xia S, Zhu C, Wang L.   +7 more
europepmc   +1 more source

Edge‐Channel Aggregation Network and Two‐Stage Fine Tuning Scheme for Handwritten Dongba Character Recognition

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Handwritten Dongba Character Recognition (HDCR) contains a large number of visually similar characters with subtle and fragile edge cues, posing severe challenges to feature learning. To address this issue, an Edge Channel Aggregation Network (EdgeCANet) model is proposed.
Xiali Li, Yang Xiao, Xiaojun Bi, Yanlong Luo   +3 more
wiley   +1 more source

Electromechanical Impedance Data-Driven Metal Structural Tensile Stress Identification Using Generative Adversarial Networks. [PDF]

Materials (Basel)
Ai D, Zhang R.
europepmc   +1 more source

Optimisation or Learning? Appropriate Choice of Models and Methods for Sequential Decision‐Making in Power System Operation

Energy Internet, EarlyView.
ABSTRACT Power system operation is inherently a sequential decision‐making problem, traditionally addressed through optimisation models built upon high‐quality load forecasts. However, the rapid proliferation of renewable generation and price‐responsive demands, such as electric vehicles and merchant energy storage, has introduced multiple sources of ...
Wei Wei, Runze Liang
wiley   +1 more source

Enhancing Early Prediction of Gestational Diabetes Mellitus Through Data Augmentation and Feature Guidance: Model Development and Validation Study. [PDF]

JMIR Med Inform
Chen X, Jiang Z, Su D, Chen X, Chen A, Zhang Z, Wang H.   +6 more
europepmc   +1 more source

Regional Infrared and Visible Image Registration for Distribution Substation Areas With Wide Depth of Field

High Voltage, EarlyView.
ABSTRACT Infrared and visible image registration is a key task in automated distribution network inspection. Previous approaches typically apply a single homography to align infrared and visible images leading to local misalignment. To address this, this study proposes a novel region‐based registration algorithm specifically designed for wide‐depth ...
Yingchen Zhang, Bo Wang, Fei Tang
wiley   +1 more source

Enhanced cybersecurity threat detection using novel tri-metaheuristic loss functions in generative adversarial networks with adaptive attention preservation for network traffic augmentation. [PDF]

Sci Rep
Khalil HM, Elrefaiy A, Elbaz M, Loey M.
europepmc   +1 more source

Fine‐tuning ab initio XANES spectra calculations using the Bayesian optimization algorithm

Journal of Synchrotron Radiation, EarlyView.
A Bayesian optimization technique is used to tune the FEFF and FDMNES packages and to improve matching between theoretical and experimental spectra. The tests were performed on monometallic Ni, Fe and Pd K‐edge XANES spectra using several different spectrum similarity metrics.Theoretical modeling of X‐ray absorption near‐edge structure (XANES) spectra ...
Andrey A. Sapronov, Dmitry E. Doronkin, Jan-Dierk Grunwaldt   +2 more
wiley   +1 more source