Results 121 to 130 of about 12,889,375 (285)

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

AI‐Powered GPR Characterization of Peatland Underground Cavity Induced by Smoldering Wildfire: A Laboratory Proof‐of‐Concept

Safety Science and Technology, EarlyView.
We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang, Zilong Wang, Yichao Zhang, Yanghan Su, Shaorun Lin, Xinyan Huang   +5 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

AI‐Powered TAT‐Net Hyperspectral Imaging for Rapid and Accurate Differentiation of Sinonasal Inverted Papilloma and Malignancy

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Background Sinonasal inverted papilloma (IP) and malignancies share overlapping clinical and endoscopic features, and conventional histopathology frequently requires time‐consuming adjunct immunohistochemistry. Hyperspectral imaging (HSI) can capture subtle spectral changes associated with malignant transformation that are not apparent on ...
Hao‐Miao Zhao, Jia‐Chang Kong, Yun‐Ze Li, Wei Li, Xin Feng   +4 more
wiley   +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

An improved Expectation Maximization algorithm for hyperspectral image classification

, 2013
In this paper, we propose an improved Expectation Maximization (EM) algorithm for hyperspectral image classification. As an excellent machine learning algorithm, EM is an iterative process for finding Maximum A Posteriori estimation (MAP) of parameters ...
Li Ni, Lianru Gao, Zhang, Bing, Gao, Lianru, Lina Zhuang, Ni, Li, Zhuang, Lina, Bing Zhang   +7 more
core   +1 more source

Integrating large mammalian herbivores into Dynamic Global Vegetation Models: Status and next steps

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Zoogeochemistry, the study of how animals influence elemental cycling within ecosystems, bridges the fields of zoology, ecology and biogeochemistry. Yet, most terrestrial ecosystem models, especially Dynamic Global Vegetation Models (DGVMs), remain largely plant‐centric
Yue Cheng, Joanne Alice O'Keeffe, Andrew J. Abraham, Jesper Riis Christiansen, Frederik Nygaard Philipsen, Klaus Steenberg Larsen, Fabio Berzaghi, Carsten W. Mueller, Lars Vesterdal, Jeppe A. Kristensen, Elizabeth Le Roux   +10 more
wiley   +1 more source

Hyperspectral texture analysis for colon tissue biopsy classification [PDF]

, 2007
Diagnosis and cure of colon cancer can be improved by performing automated histopathological analysis of colon biopsy samples. Due to significant observational variation between pathologists in several histological features, there is a need for the ...
Rajpoot, Nasir M. (Nasir Mahmood), Qureshi, Hammad A., Rajpoot, Kashif, Masood, Khalid   +3 more
core  

A validated 3D point‐cloud analysis workflow for the creation of seagrass canopy height models

Methods in Ecology and Evolution, EarlyView.
Abstract Seagrasses support highly productive ecosystems in both temperate and tropical waters and provide essential ecosystem services. Despite their importance, the vertical structure of seagrasses (i.e. the canopy) remains poorly characterised at the microscale, even though it is a strong predictor of ecological processes that influence both ...
Daniele Ventura
wiley   +1 more source