AIMC Topic: Neural Networks, Computer

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Research on Online Social Network Information Leakage-Tracking Algorithm Based on Deep Learning.

Computational intelligence and neuroscience
The rapid iteration of information technology makes the development of online social networks increasingly rapid, and its corresponding network scale is also increasingly large and complex. The corresponding algorithms to deal with social networks an...

Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network.

Computational intelligence and neuroscience
In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth research and analysis of sports health big data, and an intelligent analysis system is designed for the practical process. A convolutional neural networ...

Application of Deep Learning Model in the Avoidance of Investment Risk of Multinational Enterprises.

Computational intelligence and neuroscience
With the continuous improvement and development of the socialist market economic system, China's economic development has full momentum, but the domestic market is no longer sufficient to meet the needs of enterprise development. China has always foc...

Application of Human Posture Recognition Based on the Convolutional Neural Network in Physical Training Guidance.

Computational intelligence and neuroscience
The application of sports game video analysis in athlete training and competition analysis feedback has attracted extensive attention, but the traditional sports human body posture estimation method has a large error between the athlete's human body ...

Exploring Evaluation of Enterprise Economic Benefits Using Big Data.

Journal of environmental and public health
The purpose is to improve Chinese enterprises' economic benefit evaluation system based on big data and promote sustainable enterprise production. This paper studies the power supply enterprises-oriented Evaluation Index System (EIS) under the big da...

Evaluation of Traumatic Subdural Hematoma Volume by Using Image Segmentation Assessment Based on Deep Learning.

Computational and mathematical methods in medicine
Rapid and accurate evaluations of hematoma volume can guide the treatment of traumatic subdural hematoma. We aim to explore the consistency between the measurement results of traumatic subdural hematoma (TSDH) using a deep learn-based image segmentat...

The contribution of object identity and configuration to scene representation in convolutional neural networks.

PloS one
Scene perception involves extracting the identities of the objects comprising a scene in conjunction with their configuration (the spatial layout of the objects in the scene). How object identity and configuration information is weighted during scene...

Deep learning for preliminary profiling of panoramic images.

Oral radiology
OBJECTIVE: This study explored the feasibility of using deep learning for profiling of panoramic radiographs.

Exploring Deep Learning of Quantum Chemical Properties for Absorption, Distribution, Metabolism, and Excretion Predictions.

Journal of chemical information and modeling
Quantum mechanical (QM) descriptors of small molecules have wide applicability in understanding organic reactivity and molecular properties, but the substantial compute cost required for QM calculations limits their broad usage. Here, we investigate...

Active learning of causal structures with deep reinforcement learning.

Neural networks : the official journal of the International Neural Network Society
We study the problem of experiment design to learn causal structures from interventional data. We consider an active learning setting in which the experimenter decides to intervene on one of the variables in the system in each step and uses the resul...