AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
WLNS.com

Lansing may sell under-utilized parking lots for data center project

LANSING, Mich. (WLNS) — The owners of a data center company from the United Kingdom met with residents Saturday morning to discuss their proposal to create a 24 megawatt data center in downtown ...
IEEE

MRLF: Multimodal Representation Learning for Tabular Data Classification

Representation learning fundamentally determines the classification performance of models on tabular data. However, existing tabular data classification models typically focus on single-modal encoding ...
Reuters

As data flow revives, Fed still faces a deep policy divide

WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...
Scientific Research Publishing

Research on the Nonlinear Impact of Investor Sentiment on Stock Returns Based on Deep Learning and Text Mining ()

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...
WLNS.com

Deep Green proposes $120M Lansing data center to reshape energy

LANSING, Mich. (WLNS)– Deep Green, a computing infrastructure company based in England, is proposing a $120 million state-of-the-art data center at the corner of Kalamazoo and Cedar Street in Lansing, ...
IEEE

Data Augmentation for Text Classification Using Autoencoders

Abstract: Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire. To mitigate ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...