Results 91 to 100 of about 24,881,858 (314)

Supervised Distance-Based Feature Selection for Hyperspectral Target Detection

Remote Sensing, 2019
Feature/band selection (FS/BS) for target detection (TD) attempts to select features/bands that increase the discrimination between the target and the image background. Moreover, TD usually suffers from background interference. Therefore, bands that help
Amir Moeini Rad, Ali Akbar Abkar, Barat Mojaradi   +2 more
doaj   +1 more source

The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo - A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data

Remote Sensing, 2017
Drone-borne hyperspectral imaging is a new and promising technique for fast and precise acquisition, as well as delivery of high-resolution hyperspectral data to a large variety of end-users.
S. Jakob, R. Zimmermann, Richard Gloaguen   +2 more
semanticscholar   +1 more source

Robust Representation Learning for Clean Feature Discovery in Incomplete Multi‐View Clustering

Advanced Intelligent Systems, EarlyView.
Robust feature discovery in incomplete multi‐view clustering is achieved by coupling RPCA‐based clean representation recovery with neural‐network‐assisted graph learning. The resulting RIMVC framework constructs cleaner and more discriminative graph‐structured representations from incomplete and noisy multi‐view data, improving clustering robustness ...
Ping Hu, Chenggang Lu, Rui Zhang, Haijun Yan, Yesong Xu   +4 more
wiley   +1 more source

Spatial Cell Death and Oxidative Stress Dynamics in Gas Plasma‐Treated Tumor Tissues

Advanced NanoBiomed Research, EarlyView.
Schematic representation of the four experimental models to study tissue penetration and oxidation. Four tissue models were used. Human pancreatic cancer cells were grown on the chorioallantois membrane of chicken embryos and gas plasma‐treated in ovo, murine colorectal tumor tissue was gas plasma‐exposed ex vivo, murine squamous cell carcinoma cells ...
Anke Schmidt, Shahrzad Rokhsary, Linus Hübner, Lea Miebach, Sander Bekeschus   +4 more
wiley   +1 more source

Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency

Remote Sensing, 2018
Spectral, temporal and spatial dimensions are difficult to model together when predicting in situ plant traits from remote sensing data. Therefore, machine learning algorithms solely based on spectral dimensions are often used as predictors, even when ...
A. D. Rocha, T. Groen, A. Skidmore, R. Darvishzadeh, L. Willemen   +4 more
semanticscholar   +1 more source

Tackling cancer stemness with nanotechnology in the era of precision medicine

BMEMat, EarlyView.
Precise customization of nanoparticles (NPs) enables active targeting of cancer stem cells (CSCs), thereby improving drug delivery and therapeutic efficacy. NP‐based probing enhances CSC detection through imaging and liquid biopsy, whereas diverse therapeutic payloads improve therapeutic outcomes.
Shaolei Guo, Shun Yao, Lihui Meng, Chunyuan Chen, Yuechu Lucinda Lu, Rong Lu, Kashif Rafiq Zahid, Umar Raza, Qingzhi Wu, Wenli Chen   +9 more
wiley   +1 more source

Comparative Assessment of Landsat‐8 and SPOT‐7 Satellite Data With Field Spectral Measurements for Estimating Plant Diversity in Sandy Grasslands

Biological Diversity, EarlyView.
We compared Landsat‐8 OLI, SPOT, and hyperspectral data for estimating vascular plant diversity in China's Hunshandak Sandland. SPOT data showed the strongest correlation with alpha diversity, followed by hyperspectral data, with Landsat‐8 performing the weakest.
Ying Ye, Jianxiong Lan, Xiaoyue Zhang, Yu Peng   +3 more
wiley   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Effect of Sequential and Combined Space‐Based Stressors on Perovskite Solar Cell Stability

EcoEnergy, EarlyView.
A correlation between loss in performance and mobile ion concentration has been established by sequential stressing of perovskite solar cells under Low Earth Orbit conditions with exposure to protons, light, and thermal cycling. It is shown that the loss in performance increases when ion concentration increases and vice versa.
Saivineeth Penukula, Brandon K. Durant, Megh N. Khanal, Mohin Sharma, Todd A. Byers, Vincent R. Whiteside, Haley P. Harblin, Ian R. Sellers, Bibhudutta Rout, Nicholas Rolston   +9 more
wiley   +1 more source

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +1 more source