AIMC Topic: Neural Networks, Computer

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Panoramic Manifold Projection (Panoramap) for Single-Cell Data Dimensionality Reduction and Visualization.

International journal of molecular sciences
Nonlinear dimensionality reduction (NLDR) methods such as t-Distributed Stochastic Neighbour Embedding (t-SNE) and Uniform Manifold Approximation and Projection (UMAP) have been widely used for biological data exploration, especially in single-cell a...

Design of ultra-thin underwater acoustic metasurface for broadband low-frequency diffuse reflection by deep neural networks.

Scientific reports
Underwater acoustic metasurfaces have broad application prospects for the stealth of underwater objects. However, problems such as a narrow operating frequency band, poor operating performance, and considerable thickness at low frequencies remain. In...

Human Gait Analysis: A Sequential Framework of Lightweight Deep Learning and Improved Moth-Flame Optimization Algorithm.

Computational intelligence and neuroscience
Human gait recognition has emerged as a branch of biometric identification in the last decade, focusing on individuals based on several characteristics such as movement, time, and clothing. It is also great for video surveillance applications. The ma...

An Improved Math Word Problem (MWP) Model Using Unified Pretrained Language Model (UniLM) for Pretraining.

Computational intelligence and neuroscience
Natural Language Understanding (NLU) and Natural Language Generation (NLG) are the general methods that support machine understanding of text content. They play a very important role in the text information processing system including recommendation ...

Application of an Artificial Intelligence System Recognition Based on the Deep Neural Network Algorithm.

Computational intelligence and neuroscience
With the development of artificial intelligence and computer technology, the deep neural network algorithm is applied to the intelligentization of various fields of production and life. However, from the current application status, the application of...

Application of Improved VMD-LSTM Model in Sports Artificial Intelligence.

Computational intelligence and neuroscience
In recent years, with the rapid development of a new generation of artificial intelligence technology, how to deeply apply artificial intelligence technology to physical education and break through the limitations of time-space scenarios and knowledg...

Short-Term Demand Forecast of E-Commerce Platform Based on ConvLSTM Network.

Computational intelligence and neuroscience
Based on real sales data, this article constructed LGBM and LSTM sales prediction models to compare and verify the performance of the proposed models. In this article, we forecast the product sales of stores in the future  + 3 days and use MAPE as th...

IGBT Fault Prediction Combining Terminal Characteristics and Artificial Intelligence Neural Network.

Computational and mathematical methods in medicine
The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and energy domains because of its high input impedance and minimal on-voltage drop. IGBTs are frequently used in industrial applications for lengthy periods...

Feature-level ensemble approach for COVID-19 detection using chest X-ray images.

PloS one
Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2), also known as the coronavirus disease 2019 (COVID-19), has threatened many human beings around the world and capsized economies at unprecedented magnitudes. Therefore, the detection of thi...

Machine Learning in the Prediction of Trauma Outcomes: A Systematic Review.

Annals of emergency medicine
STUDY OBJECTIVE: Machine learning models carry unique potential as decision-making aids and prediction tools for improving patient care. Traumatically injured patients provide a uniquely heterogeneous population with severe injuries that can be diffi...