Results 71 to 80 of about 82,380 (218)

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

PondNet – towards a global network of experiments on the effects of climate change on aquatic ecosystems

Ecography, EarlyView.
Global change is reshaping the distribution of biodiversity and the functioning of ecosystems. Predicting the long‐term consequences of such changes remains a challenge due to a need for a clear understanding of the mechanisms underpinning ecosystem‐level responses, as well as the role of geographical and environmental contingencies.
Miguel G. Matias, Dominique Gravel, Jonathan M. Chase, Carla Pinto‐ Cruz, David García‐ Callejas, M. Thomas P. Gilbert, Mathew A. Leibold, Dora Neto, Cátia L. Pereira, Carlos Ramos, Pedro M. Raposeiro, Alejandro Rozenfeld, Katarzyna Sroczynska, David R. Vieites, Guy Woodward, Miguel B. Araújo   +15 more
wiley   +1 more source

A data- and expert-driven framework for establishing land cover–related essential variables for SDG monitoring and assessment

Geography and Sustainability
Sustained and spatially explicit monitoring of the United Nations 2030 Agenda for Sustainable Development is critical for effectively tracking progress toward the global Sustainable Development Goals (SDGs).
Hao Wu, Ping Zhang, Jun Chen, Songnian Li, Jing Li, Shu Peng, Dongyang Hou, Jun Zhang, Hao Chen   +8 more
doaj   +1 more source

Changing patterns of colonisation and persistence during the wolf recolonisation of the human‐dominated Italian alpine region

Ecography, EarlyView.
Dynamic occupancy models are fundamental for understanding complex species recolonisation processes, as they allow the assessment of both colonisation and persistence probabilities over time. Using a dynamic occupancy model and a large‐scale multi‐year dataset on wolf presence collected in the Italian alpine region between 2014 and 2020, we analysed ...
M. V. Boiani, P. Dupont, R. Bischof, O. Friard, F. Bisi, G. Bombieri, S. Calderola, S. Carolfi, C. Chioso, L. Corlatti, U. Fattori, P. Ferrari, S. Filacorda, M. Geary, P. Molinari, E. Pernechele, D. Righetti, M. Tomasella, F. Truc, E. Avanzinelli, A. von Hardenberg, F. Marucco   +21 more
wiley   +1 more source

HI4HC and AAAAD: Exploring a hierarchical method and dataset using hybrid intelligence for remote sensing scene captioning

International Journal of Applied Earth Observations and Geoinformation
Remote sensing scene captioning is crucial for the deep understanding and intelligent analysis of Earth observation data. Many existing methods and datasets lack a fine-grained description of key geographical elements, fail to capture the full diversity ...
Jiaxin Ren, Wanzeng Liu, Jun Chen, Shunxi Yin   +3 more
doaj   +1 more source

TreeMig framework ver. 1.0: an R package with GUI to simulate spatio‐temporal forest dynamics

Ecography, EarlyView.
Spatio‐temporal vegetation models are essential for simulating dynamics and shifts in species distributions over large areas, particularly under global change. One such model is the dynamic forest landscape model TreeMig. We have developed a framework that makes the model more user‐friendly, improves its functionality, and expands its possibilities ...
Heike Lischke, David Böhm, Dirk R. Schmatz, Achilleas Psomas, Thomas J. Löffler, Alain Joss, Daniel Scherrer   +6 more
wiley   +1 more source

LatAtk: A Medical Image Attack Method Focused on Lesion Areas with High Transferability

Journal of Imaging
The rise in trusted machine learning has prompted concerns about the security, reliability and controllability of deep learning, especially when it is applied to sensitive areas involving life and health safety.
Long Li, Yibo Huang, Chong Li, Fei Zhou, Jingjing Li, Kamarul Hawari Ghazali   +5 more
doaj   +1 more source

A practical guide to species trend detection with unstructured data using local frequency scaling (Frescalo)

Ecography, EarlyView.
Accurately measuring biodiversity change remains a central challenge in ecology. Beyond the general idea of quantifying temporal species frequency changes, several sampling‐related biases in data collection remain key methodological challenges to consider. Long‐term standardized ecological data are rare, and most available datasets exhibit considerable
Romain Goury, Diana E. Bowler, Colin Harrower, Tamara Münkemüller, Jeanne Vallet, Jon M. Yearsley, Wilfried Thuiller, Oliver L. Pescott   +7 more
wiley   +1 more source

89Zr-labeled ImmunoPET targeting the cancer stem cell antigen CD133 using fully-human antibody constructs

EJNMMI Research
Background Cancer stem cells play an important role in driving tumor growth and treatment resistance, which makes them a promising therapeutic target to prevent cancer recurrence.
Kevin Wyszatko, Melissa Chassé, Nancy Janzen, Luis Rafael Silva, Luke Kwon, Teesha Komal, Manuela Ventura, Chitra Venugopal, Sheila K. Singh, John F. Valliant, Saman Sadeghi   +10 more
doaj   +1 more source

Application of the Reconstructed Solar-Induced Chlorophyll Fluorescence by Machine Learning in Agricultural Drought Monitoring of Henan Province, China from 2010 to 2022

Agronomy
Solar-induced chlorophyll fluorescence (SIF) serves as a proxy indicator for vegetation photosynthesis and can directly reflect the growth status of vegetation.
Guosheng Cai, Xiaoping Lu, Xiangjun Zhang, Guoqing Li, Haikun Yu, Zhengfang Lou, Jinrui Fan, Yushi Zhou   +7 more
doaj   +1 more source