AIMC Topic: Artificial Intelligence

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Predicting Bulk Average Velocity with Rigid Vegetation in Open Channels Using Tree-Based Machine Learning: A Novel Approach Using Explainable Artificial Intelligence.

Sensors (Basel, Switzerland)
Predicting the bulk-average velocity (U) in open channels with rigid vegetation is complicated due to the non-linear nature of the parameters. Despite their higher accuracy, existing regression models fail to highlight the feature importance or causa...

Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals.

Scientific reports
Solar energy-based technologies have developed rapidly in recent years, however, the inability to appropriately estimate solar energy resources is still a major drawback for these technologies. In this study, eight different artificial intelligence (...

Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings.

Nature communications
The pathological identification of lymph node (LN) metastasis is demanding and tedious. Although convolutional neural networks (CNNs) possess considerable potential in improving the process, the ultrahigh-resolution of whole slide images hinders the ...

A photosynthetic rate prediction model using improved RBF neural network.

Scientific reports
A photosynthetic prediction rate model is a theoretical basis for light environmental regulation, and the existing photosynthetic rate prediction models are limited by low modeling speed and prediction accuracy. Therefore, this paper analyses effects...

Structure of cytoplasmic ring of nuclear pore complex by integrative cryo-EM and AlphaFold.

Science (New York, N.Y.)
INTRODUCTION The nuclear pore complex (NPC) is the molecular conduit in the nuclear membrane of eukaryotic cells that regulates import and export of biomolecules between the nucleus and the cytosol, with vertebrate NPCs ~110 to 125 MDa in molecular m...

AI-based structure prediction empowers integrative structural analysis of human nuclear pores.

Science (New York, N.Y.)
INTRODUCTION The eukaryotic nucleus pro-tects the genome and is enclosed by the two membranes of the nuclear envelope. Nuclear pore complexes (NPCs) perforate the nuclear envelope to facilitate nucleocytoplasmic transport. With a molecular weight of ...

The Artificial Intelligence and Neural Network in Teaching.

Computational intelligence and neuroscience
This study aims to explore the application of artificial intelligence (AI) and network technology in teaching. By studying the AI-based smart classroom teaching mode and the advantages and disadvantages of network teaching using network technology an...

Construction of Tourism E-Commerce Platform Based on Artificial Intelligence Algorithm.

Computational intelligence and neuroscience
In the late twentieth century, with the rapid development of the Internet, e-commerce has emerged rapidly, which has changed the way people travel around the world. The greatest advantages of e-commerce are the flow of information and data and the im...

The Use of Big Data Combined with Artificial Intelligence Neural Network Technology in Urban Spatial Evaluation System.

Computational intelligence and neuroscience
This exploration aims to promote the development of urbanization in China and improve the utilization rate of urban resources. First, intensive theory and spatial economics are studied. Next, an input-output urban spatial evaluation system is establi...

Designing Equitable Health Care Outreach Programs From Machine Learning Patient Risk Scores.

Medical care research and review : MCRR
There is growing interest in ensuring equity and guarding against bias in the use of risk scores produced by machine learning and artificial intelligence models. Risk scores are used to select patients who will receive outreach and support. Inappropr...