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SHINE选择Deep Isolation垃圾处理技术（图）
核聚变 放射性废物 核废料处理
2024/4/25
聚变技术公司 SHINE Technologies 选择 Deep Isolation 的技术作为其存储和处置高放废物的首选解决方案，这些废物在部署 SHINE 的技术回收废核燃料后仍将作为残留物。
Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States
LiDAR airborne laser scanning enhanced forest inventory aboveground biomass forest carbon deep learning Maine New Hampshire Vermont Massachusetts Connecticut Rhode Island
2023/12/5
Light detection and ranging (LiDAR) has become a commonly-used tool for generating remotely-sensed forest inventories. However, LiDAR-derived forest inventories have remained uncommon at a regional sc...
Climate-Based Regionalization and Inclusion of Spectral Indices for Enhancing Transboundary Land-Use/Cover Classification Using Deep Learning and Machine Learning
machine learning ratio-based indices orthogonal indices Koppen–Geiger climate regionalization landscape change remote sensing landcover
2023/12/4
Accurate land use and cover data are essential for effective land-use planning, hydrological modeling, and policy development. Since the Okavango Delta is a transboundary Ramsar site, managing natural...
Forest Farm Fire Drone Monitoring System Based on Deep Learning and Unmanned Aerial Vehicle Imagery
Forest Farm Fire Monitoring System Deep Learning
2023/12/1
Forest fires represent one of the main problems threatening forest sustainability. Therefore, an early prevention system of forest fire is urgently needed. To address the problem of forest farm fire m...
A Hybrid Classification of Imbalanced Hyperspectral Images Using ADASYN and Enhanced Deep Subsampled Multi-Grained Cascaded Forest
hyperspectral image imbalanced data oversampling adaptive synthetic sampling tree-based classifier subsampling deep multi-grained cascade forest
2023/11/29
Hyperspectral image (HSI) analysis generally suffers from issues such as high dimensionality, imbalanced sample sets for different classes, and the choice of classifiers for artificially balanced data...
Targeted and untargeted metabolomics reveals deep analysis of drought stress responses in needles and roots of Pinus taeda seedlings
drought tolerance phytohormones fatty acids neurotransmitters sugars amino acids organic acids ?avenoids and terpenoids
2023/11/16
Drought stress is one of major environmental stresses affecting plant growth and yield. Although Pinus taeda trees are planted in rainy southern China, local drought sometime occurs and can last sever...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Accelerating Decentralized Deep Training with Sparse and Effective Topologies
稀疏有效 拓扑加速 分散式 深度训练
2023/11/13
Decentralized optimization algorithms save remarkable communication overheads in distributed deep learning since each node averages locally with neighbors. The network topology connecting all nodes de...
The radioactive waste management organisations of Slovenia and Croatia have contracted Deep Isolation to deliver a cost study on potential borehole disposal of used fuel and high-level radioactive was...
On the Interplay Between Deep Learning and Dynamical Systems
Deep Learning Dynamical Systems 北大
2023/6/16
The explosion of spatiotemporal data in the physical world requires new deep learning tools to model complex dynamical systems.
The Deep Borehole Demonstration Center has signed a memorandum of understanding (MoU) with Norsk Kjernekraft to collaborate on demonstration of deep borehole disposal in Norway. The centre - launched ...
Live: Particle pursuit, a journey of the Deep Underground Neutrino Experiment（图）
中微子实验 粒子追逐 欧洲核子研究中心
2023/6/12
On 15 June, join CERN, Fermilab and Sanford Underground Research Facility (SURF) for an interactive livestream that will take you on a journey of the Deep Underground Neutrino Experiment (DUNE). The C...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Deep leaning-based hyperspectral image classification
深度倾斜 高光谱 图像分类
2023/5/4
In this talk, we will introduce some hyperspectral image classification methods based on deep learning architecture. Recently, deep learning-based hyperspectral image classification has attracted more...
Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their n...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Optimization-inspired deep unfolding correction-distillation network for CS-MRI reconstruction
优化启发 CS-MRI 重建深度展开 校正-蒸馏网络
2023/4/27
In this talk, we discuss a unifying deep unfolding multi-sampling-ratio interpretable CS-MRI framework. The combined approach offers more generalizability than the existing deep-learning-based CS-MRI ...
Can humans endure long-term living in deep space?The answer is a lukewarm maybe, according to a new theory describing the complexity of maintaining gravity and oxygen, obtaining water, developing agri...