Results 101 to 110 of about 4,082 (191)

Gene Expression Alterations Associated With Resveratrol‐Induced Antiproliferative Effects and S‐Phase Cell Cycle Arrest in Osteosarcoma Cancer Cells

Journal of Cellular and Molecular Medicine, Volume 30, Issue 7, April 2026.
ABSTRACT Osteosarcoma (OS) is an aggressive primary bone tumour with high metastatic potential. Current treatments including surgery and chemotherapy are limited by side effects and chemoresistance, underscoring the need for novel therapies. This study aimed to investigate the antitumor potential of resveratrol (RSV), a natural polyphenol, as a novel ...
Raffaella De Pace, Maria Rosa Iaquinta, Roberta Chiarelli, Maria Giulia Dell'Aquila, Fabio Casciano, Cinzia Brenna, Elisa Mazzoni   +6 more
wiley   +1 more source

Spectral–Spatial HyperspectralImage Classification With K-Nearest Neighbor and Guided Filter

IEEE Access, 2018
Explosive growth of applications in hyperspectral image (HSI) has made HSI classification a hot topic in the remote sensing community. The key to improve classification accuracy is how to make full use of the spectral and spatial information.
Yanhui Guo, Han Cao, Siming Han, Yunchuan Sun, Yu Bai   +4 more
doaj   +1 more source

Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification

, 2019
Convolutional neural networks (CNNs) have recently shown outstanding capability for hyperspectral image (HSI) classification. In this work, a novel CNN model is proposed, which is wider than other existing deep learning-based HSI classification models ...
Lingling Li, Miaomiao Liang, Zhe Meng, Licheng Jiao, Zhixi Feng, Xu Tang   +5 more
core   +1 more source

H2A2Net: A Hybrid Convolution and Hybrid Resolution Network with Double Attention for Hyperspectral Image Classification

, 2022
Deep learning (DL) has recently been a core ingredient in modern computer vision tasks, triggering a wave of revolutions in various fields. The hyperspectral image (HSI) classification task is no exception.
Youqiang Zhang, Hao Shi, Peng Fu, Yanbo Liu, Zixian Ge, Guo Cao   +5 more
core   +1 more source

Remote Sensing of Endogenous Pigmentation by Inducible Synthetic Circuits in Grasses

Plant Biotechnology Journal, Volume 24, Issue 4, Page 2244-2259, April 2026.
ABSTRACT Plant synthetic biology holds great promise for engineering plants to meet future demands. Genetic circuits are being designed, built and tested in plants to demonstrate the proof of concept. However, developing these components in monocots, which the world relies on for grain, lags behind dicot models, such as Arabidopsis thaliana and ...
Dong‐Yeon Lee, Lucia Acosta‐Gamboa, Luke Saleh, Sunita Pathak, Nathan Swyers, Austin Morgan, Susan Meerdink, Caroline Kuzio, Santiago Calderon, Hudanyun Sheng, Samuel Kenney, Alina Zare, Malia Gehan, Dmitri A. Nusinow   +13 more
wiley   +1 more source

A New Concept for an Integrated Mapping of Rare‐Earth Elements using Laser–Induced Fluorescence and Reflectance Spectroscopy

Advanced Sensor Research, Volume 5, Issue 3, March 2026.
We introduce a new integrated line‐scan sensor system that combines hyperspectral and laser‐induced fluorescence imaging as a non‐invasive alternative characterization technique specifically suited for rare‐earth element (REE) mapping and identification. We investigate in detail the potential and limitations in comparison to state‐of‐the‐art approaches
Titus Abend, Margret Fuchs, Jan Beyer, Sandra Lorenz, Nadine Schüler, Kay Dornich, Johannes Heitmann, Richard Gloaguen   +7 more
wiley   +1 more source

Local and Global Spectral Features for Hyperspectral Image Classification

, 2023
Hyperspectral images (HSI) contain powerful spectral characterization capabilities and are widely used especially for classification applications. However, the rich spectrum contained in HSI also increases the difficulty of extracting useful information,
Xiaocan Zhang, Cheng Su, Shirou Wang, Zeyu Xu   +3 more
core   +1 more source

DCFF-Net: Deep Context Feature Fusion Network for High-Precision Classification of Hyperspectral Image

Remote Sensing
Hyperspectral images (HSI) contain abundant spectral information. Efficient extraction and utilization of this information for image classification remain prominent research topics.
Zhijie Chen, Yu Chen, Yuan Wang, Xiaoyan Wang, Xinsheng Wang, Zhouru Xiang   +5 more
doaj   +1 more source

Few-shot Hyperspectral Image Classification using Relational Generative Adversarial Network

Hyperspectral image (HSI) classification is an essential task in remote sensing, but its performance is greatly affected by limited labeled samples.
Guo, Baoqing, Xiao, Chuangbai, Zhou, Jun, Wei, Wei, Tong, Lei   +4 more
core   +1 more source

Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network

, 2020
In recent years, researchers have paid increasing attention on hyperspectral image (HSI) classification using deep learning methods. To improve the accuracy and reduce the training samples, we propose a double-branch dual-attention mechanism network ...
Xiqi Wang, Chenxi Duan, Shunyi Zheng, Rui Li, Yang Yang   +4 more
core   +1 more source