AIMC Topic: Neural Networks, Computer

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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 (...

A deep learning approach for detecting drill bit failures from a small sound dataset.

Scientific reports
Monitoring the conditions of machines is vital in the manufacturing industry. Early detection of faulty components in machines for stopping and repairing the failed components can minimize the downtime of the machine. In this article, we present a me...

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 ...

Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP.

Nature communications
The complete biosynthetic pathways are unknown for most natural products (NPs), it is thus valuable to make computer-aided bio-retrosynthesis predictions. Here, a navigable and user-friendly toolkit, BioNavi-NP, is developed to predict the biosynthet...

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...

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...

Analysis Model of Human Resource Cross-Media Fusion Based on Deep Neural Network.

Computational intelligence and neuroscience
With the continuous deepening of enterprise system reform and the rapid development of national economy, enterprises are facing the great challenge of market competition. In the new market and social environment, the role of human resource management...

The Empirical Analysis of Bitcoin Price Prediction Based on Deep Learning Integration Method.

Computational intelligence and neuroscience
As a new type of electronic currency, bitcoin is more and more recognized and sought after by people, but its price fluctuation is more intense, the market has certain risks, and the price is difficult to be accurately predicted. The main purpose of ...

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...

Raman spectroscopy for on-line monitoring of botanical extraction process using convolutional neural network with background subtraction.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Aqueous extraction is the most common and cost-effective means of obtaining active ingredients from medicinal plants. However, botanical extracts generally contain high pigment content and complex chemical composition posing a challenge for the proce...