Results 171 to 180 of about 22,071 (254)

Digital Twins for Offshore Wind Operation and Maintenance: A Review

Wind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT Offshore wind has become a key focus for achieving carbon neutrality. However, offshore wind turbines face considerable operational and maintenance challenges due to harsh conditions and difficult access. Integrating digital twin technology helps support operation and maintenance activities.
Xiaomei Hu, Ravi Pandit, Yifan Zhao, Bernadin Namoano, Jiarong Hong   +4 more
wiley   +1 more source

SMARTMed: semi-fragile dual watermarking with deep tamper detection and adversarial DNN fingerprinting for secure medical image transmission. [PDF]

Sci Rep
Jagadeesh S, Parida AK, Kollati M.
europepmc   +1 more source

Assessing Deep Learning Segmentation Models for Mapping Landslides From LiDAR‐Based Elevation Data

Earth and Space Science, Volume 13, Issue 10, October 2026.
Abstract Robust landslide inventories are critical for characterizing landslide hazard and helping reduce societal vulnerability. For this study, LiDAR‐derived digital elevation models (DEMs), their derivatives, and a landslide inventory were used to train different deep learning segmentation models to assess the functionality of automatic segmentation
Hudson J. Koch, Junfeng Zhu, Shashank Bhatt, Nathan Jacobs, Jason M. Dortch   +4 more
wiley   +1 more source

Pulmonary ventilation images from planning CT images using deep learning on locally-advanced NSCLC patients. [PDF]

J Appl Clin Med Phys
Katsuta Y, Hoshino T, Yamamoto T, Kadoya N, Tanaka S, Arai K, Umezawa R, Takahashi N, Jingu K.   +8 more
europepmc   +1 more source

A Machine Learning‐Based Model of Three‐Dimensional Ion Fluxes in the High‐Altitude Earth's Northern Cusp

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Magnetic reconnection at the dayside magnetopause is the primary pathway for transferring mass, momentum, and energy from the solar wind into the terrestrial magnetosphere. Previous studies have shown that the spatiotemporal dynamics of dayside magnetic reconnection can be inferred remotely from properties of Earth's cusps, specifically their ...
Gonzalo Cucho‐Padin, David Sibeck, Xueyi Wang, Daniel da Silva, Xiaolei Li, Gowtan Valluri, Cristian Ferradas, Hyunju Connor, Yu Lin   +8 more
wiley   +1 more source

EcoNet-Multi: optimising deep learning frameworks for robust waste detection in diverse global environments. [PDF]

Front Plant Sci
Shukla AK, Dwivedi S.
europepmc   +1 more source

A Near‐Real‐Time Deep‐Learning Solar Flare Forecasting System Supported by SDO/HMI and ASO‐S/FMG Magnetograms

Space Weather, Volume 24, Issue 10, October 2026.
Abstract This study develops and evaluates five deep learning models, including image‐based (CNN, SwinT) and video‐based (CNN‐LSTM, SwinT‐LSTM, Video SwinT), to forecast ≥ ${\ge} $M‐class flares within the next 24 hr using cross‐validation (CV) data sets.
Yongshang Lv, Pengchao Yan, Yanfang Zheng, Xuebao Li, Suo Liu, Ting Li, Jiaben Lin, Rui Wang, Liang Dong, Zamri Zainal Abidin, Noraisyah Mohamed Shah, Honglei Jin, Hongwei Ye, Shunhuang Zhang, Xiaotian Wang, JinFang Wei, Zixian Wu, Xusheng Huang   +17 more
wiley   +1 more source

A mask-based peak-to-average power ratio reduction scheme for affine frequency division multiplexing systems using Volterra Series-Driven PolyNet. [PDF]

PLoS One
Liu X, Zhang Y, Guo J, Zhu R, Wang F, Wang L.   +5 more
europepmc   +1 more source

Environmental Filtering, Spatial Structure and Species Associations Shape Estuarine Shorebird Metacommunities Across a Continental Network

Journal of Biogeography, Volume 53, Issue 10, October 2026.
ABSTRACT Aim Australian estuaries provide important non‐breeding habitat near the southern end of the East Asian–Australasian Flyway, but many are affected by coastal modification, vegetation expansion and changing hydrological conditions. We examined how habitat composition, habitat configuration, regional connectivity and residual species ...
Li Wen
wiley   +1 more source

An Intelligent Directionality System for Hearing Aids Incorporating Deep Neural Networks: Improving Speech Understanding While Preserving Spatial Awareness. [PDF]

Audiol Res
Marquardt D, Xiao J, Ganeshkumar A, Xu J, Taylor L, McKinney M, Fabry DA, Bhowmik AK.   +7 more
europepmc   +1 more source