Results 131 to 140 of about 15,264 (300)

AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development

Sustainable Development, EarlyView.
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley   +1 more source

Spectrally Segmented-Enhanced Neural Network for Precise Land Cover Object Classification in Hyperspectral Imagery

Remote Sensing
The paradigm shift brought by deep learning in land cover object classification in hyperspectral images (HSIs) is undeniable, particularly in addressing the intricate 3D cube structure inherent in HSI data. Leveraging convolutional neural networks (CNNs),
Touhid Islam, Rashedul Islam, Palash Uddin, Anwaar Ulhaq   +3 more
doaj   +1 more source

Structural, Compositional, and Dielectric State Profiling in Label‐Free Single‐Cell Monitoring

Small Methods, EarlyView.
Label‐free single‐cell monitoring leverages distinct physical interactions to access structural, compositional, and dielectric states of cells, enabling non‐perturbative, repeatable, and information‐rich measurements across diverse biological contexts. This review organizes representative platforms by intrinsic state variables and connects measurement ...
Changi Baek, Youngho Song, Seongcheol Park, Sujin Hyung, Sang Eun Yoon, Yong Jae Shin, Soo‐Yeon Cho   +6 more
wiley   +1 more source

Deep Relation Network for Hyperspectral Image Few-Shot Classification

, 2020
Deep learning has achieved great success in hyperspectral image classification. However, when processing new hyperspectral images, the existing deep learning models must be retrained from scratch with sufficient samples, which is inefficient and ...
Kuiliang Gao, Bing Liu, Xuchu Yu, Jinchun Qin, Pengqiang Zhang, Xiong Tan   +5 more
core   +1 more source

SMILE: Extraction‐free submicron‐resolution mapping of lipid chain length and unsaturation by stimulated Raman imaging

VIEW, EarlyView.
In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou, Xiangjie Huang, Xingxin Liu, Ling Zhang, Jie Huang, Jing Zhao, Yongqing Zhang, Jin Zhang, Yanqing Gong, Delong Zhang, Hyeon Jeong Lee   +10 more
wiley   +1 more source

Tensor morphological profile for hyperspectral image classification

, 2016
This paper proposes a novel multi-dimensional morphology descriptor, tensor morphology profile (TMP), for hyperspectral image classification. TMP is a general framework to extract the multi-dimensional structures in high-dimensional data.
Jun Zhou, Zhou, Jun, Jie Liang, Liang, Jie, Yongsheng Gao, Gao, Yongsheng   +5 more
core   +1 more source

Integration of Micro‐CT and XRF Mapping for Multimodal 3D Analysis of Polychrome Wooden Artifacts

X-Ray Spectrometry, EarlyView.
ABSTRACT Over the past 5 years, computer applications have become crucial to archeological research. Since the 1990s, the focus has transitioned from data management tools to the development of virtual models. Recently, digital documentation of cultural heritage has gained considerable focus, with 3D modeling of objects.
Josiane E. Cavalcante, Olga Araujo, Alessandra Machado, Roberta M. P. S. Borges, Isis V. N. S. Franzi, Anderson G. de Paula, Roberta Leitão, Marcelino dos Anjos, Renato Freitas, Ricardo T. Lopes, Davi F. Oliveira   +10 more
wiley   +1 more source

Interactive Classification of Urban Areas Using Decision Trees

, 2011
Conventionally decision trees are fixed structures for sequential classification, which are designed for certain regions and specific research questions. In heterogeneous and dynamic urban environments their broad application requires a continual change
Taubenböck, Hannes, Stilla, U., H. Taubenbock, Abelen, S., S. Abelen, U. Stilla   +5 more
core   +1 more source

Facilitating macrosystem biology with organismal‐scale airborne remote sensing: Challenges and opportunities

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Emergent ecosystem properties, such as population and trait distributions, biodiversity and energy and water fluxes, occur because of the dynamic interactions of individuals in their environment.
Sarah J. Graves, Ritesh Chowdhry, Meilun Zhou, Ira Harmon, Ben Weinstein, S. K. Morgan Ernest, Alina Zare, Ethan P. White, Stephanie A. Bohlman   +8 more
wiley   +1 more source

RCTNet: Residual conv-attention transformer network for corn hyperspectral image classification

Frontiers in Remote Sensing
Classifying corn varieties presents a significant challenge due to the high-dimensional characteristics of hyperspectral images and the complexity of feature extraction, which hinder progress in developing intelligent agriculture systems.
Yihan Li, Yihan Li, Yan Li, Gongchao Chen, Linfang Li, Songlin Jin, Ling Zhou   +6 more
doaj   +1 more source