Results 111 to 120 of about 11,136 (312)

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

Hyperspectral imagery super-resolution by sparse representation and spectral regularization

EURASIP Journal on Advances in Signal Processing, 2011
For the instrument limitation and imperfect imaging optics, it is difficult to acquire high spatial resolution hyperspectral imagery. Low spatial resolution will result in a lot of mixed pixels and greatly degrade the detection and recognition ...
Zhao Yongqiang, Yang Jinxiang, Zhang Qingyong, Song Lin, Cheng Yongmei, Pan Quan   +5 more
doaj  

A Novel Fully Convolutional Auto-Encoder Based on Dual Clustering and Latent Feature Adversarial Consistency for Hyperspectral Anomaly Detection

Remote Sensing
With the development of artificial intelligence, the ability to capture the background characteristics of hyperspectral imagery (HSI) has improved, showing promising performance in hyperspectral anomaly detection (HAD) tasks.
Rui Zhao, Zhiwei Yang, Xiangchao Meng, Feng Shao   +3 more
doaj   +1 more source

Airborne Visible/Infrared Imaging spectrometer AVIS: Design, characterization and calibration [PDF]

, 2007
The Airborne Visible/Infrared imaging Spectrometer AVIS is a hyperspectral imager designed for environmental monitoring purposes. The sensor, which was constructed entirely from commercially available components, has been successfully deployed during ...
Mauser, Wolfram, Oppelt, Natascha, Natascha Oppelt, Wolfram Mauser   +3 more
core   +1 more source

Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing enthusiasm for generative artificial intelligence (GenAI) in sustainability management, it remains unclear how such technologies translate vast ESG information into meaningful environmental outcomes. This study addresses this gap by investigating how ESG sensemaking capability mediates the relationship between GenAI integration
Surajit Bag, Gautam Srivastava, Susmi Routray, Andrea Chiarini   +3 more
wiley   +1 more source

New approaches on dimensionality reduction in hyperspectral images for classification purposes

, 2012
This paper presents a quasi-unsupervised methodology to detect endmembers within an hyperspectral scene and to derive a pixel-wise classification on its basis.
Rupert Mueller, Reinartz, Peter, Daniele Cerra, Müller, Rupert, Jakub Bieniarz, Cerra, Daniele, Peter Reinartz, Bieniarz, Jakub   +7 more
core   +1 more source

Discrimination of remnant tree species and regeneration stages in Queensland, Australia using hyperspectral imagery [PDF]

, 2009
This study assessed the utility of hyperspectral imagery in discriminating remnant tree species and stand regeneration stages in Southeast Queensland, Australia. Reflectance data of three species of woody vegetation (i.e.
T. Maraseni, Apan, Armando, Phinn, Stuart, Maraseni, Tek, A. Apan, S. Phinn   +5 more
core   +1 more source

Refractive Index–Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology

Cytometry Part A, EarlyView.
ABSTRACT Conventional bright‐field (BF) cytology of thyroid fine‐needle aspiration biopsy (FNAB) suffers from staining variability and limited subcellular contrast. Here, we present a refractive index–correlated pseudocoloring (RICP) framework that integrates quantitative refractive index (RI) maps obtained by holotomography (HT) with color BF images ...
Minseok Lee, Tal Lifshitz, Young Ki Lee, Geon Kim, Seog Yun Park, Hayoung Lee, Juyeon Park, Eun Kyung Lee, YongKeun Park   +8 more
wiley   +1 more source

Weighted Sparseness-Based Anomaly Detection for Hyperspectral Imagery. [PDF]

Sensors (Basel), 2023
Lian X, Zhao E, Zheng W, Peng X, Li A, Zhen Z, Wen Y.   +6 more
europepmc   +1 more source

Novel folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing

, 2014
As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory requirement and low efficacy in dealing with large dimensional datasets such as Hyperspectral ...
Han, Junwei, Zabalza, Jaime, Yang, Mingqiang, Zhang, Yi, Ren, Jinchang, Marshall, Stephen, Wang, Jun   +6 more
core   +1 more source