Seeing The Lay Of The Land With AI

LEOMs like open-source Clay automate detailed Earth mapping, enabling rapid analysis for research, government, business.
Scientific Research Publishing

ASTM D2487-17 (2017). Standard Practice for Classification of Soils for Engineering Purposes (Unified Soil Classification System). ASTM International.

ABSTRACT: Expansive soils present a significant geohazard to light infrastructure worldwide, causing costly damage through swelling and shrinkage cycles driven by moisture content changes. One key ...
Frontiers

Multi-Scale graph wavelet convolutional network for hyperspectral image classification

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
IEEE

Medical Graph Diffusion: Hybrid Graph Diffusion with Heterogeneous Graph Convolutional Networks for Medical Text Classification

Abstract: Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model ...
WNCT

Argo Living Soils Corp. Announces Research and Development Agreement with Graphene Leaders Canada Inc. to Advance Graphene Concrete Solutions

VANCOUVER, British Columbia, May 05, 2025 (GLOBE NEWSWIRE) -- Argo Living Soils Corp. (CSE: ARGO) (OTCQB: ARLSF) (FSE: 94Y0) ("Argo" or the "Company") is pleased to announce it has entered into a ...
Scientific Research Publishing

IUSS Working Group WRB (2022) World Reference Base for Soil Ressources. In-ternational Soil Classification System for Naming Soils and Creating Legends for Soil Maps. 4th ...

ABSTRACT: Enhancing the value of indigenous food crops such as Egusi melon, which is considered a “lost crop” in many places around the globe, can significantly contribute to food security of millions ...
EurekAlert!

D2-GCN: a graph convolutional network with dynamic disentanglement for node classification

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...
Frontiers

Characterization and classification of soils in the irrigable land of Achewa small-scale irrigation area, Itang special district, southwest Gambella, Ethiopia

The characterization and classification of soils in irrigable areas are crucial for understanding soil types and nutrient status, which in turn help to optimize crop yield and to design soil ...