AIMC Topic: Industry

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Deep Learning for Intelligent Assessment of Financial Investment Risk Prediction.

Computational intelligence and neuroscience
Financial investment promotes the market's fast economic growth and gradually becomes a new trend of social development in the contemporary era. From the national level, financial risk investment activities directly affect the development process of ...

The compliance of head-mounted industrial PPE by using deep learning object detectors.

Scientific reports
The compliance of industrial personal protective equipment (PPE) still represents a challenging problem considering size of industrial halls and number of employees that operate within them. Since there is a high variability of PPE types/designs that...

Application of Price Competition Model Based on Computational Neural Network in Risk Prediction of Transnational Investment.

Computational intelligence and neuroscience
Aiming at the scenario where edge devices rely on cloud servers for collaborative computing, this paper proposes an efficient edge-cloud collaborative reasoning method. In order to meet the application's specific requirements for delay or accuracy, a...

A Comprehensive Assessment of Cultivation Environment of Top Innovative High-Level Talents Based on Deep Learning Algorithm.

Journal of environmental and public health
The quality of talent has increased across all fields due to the constant growth of different industries and the growing job saturation. Real-time job information on recruitment platforms can, therefore, accurately reflect the demand for talent from ...

Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network.

Computational intelligence and neuroscience
Mining and utilizing cultural heritage resources and creating and developing creative and cultural industries have become the priority direction of economic development, setting off a wave of cultural heritage resource development, and industrial tra...

Application of Neural Network with Autocorrelation in Long-Term Forecasting of Systemic Financial Risk.

Computational intelligence and neuroscience
Carrying out early warning of systemic financial risk is a prerequisite for timely adjustment of monetary policy and macroprudential policy to effectively prevent and resolve systemic financial risks. This paper constructs a systemic financial risk m...

Prediction of drivers' impact on green supply chain management using deep learning algorithm.

Environmental science and pollution research international
Nowadays, for controlling the organizations' environmental impact and attaining performance enhancement in industries, green supply chain management (GSCM) plays a significant role. This work considers four major drivers and five primary dimensions f...

Health State Assessment of Industrial Equipment Driven by the Fusion of Digital Twin Model and Intelligent Algorithm.

Computational intelligence and neuroscience
Equipment health state assessment is of great significance to improve the efficiency of industrial equipment maintenance support and realize accurate support. Using the method driven by the fusion of digital twin model and intelligent algorithm can m...

Predicting technological innovation in new energy vehicles based on an improved radial basis function neural network for policy synergy.

PloS one
Policy synergy is necessary to promote technological innovation and sustainable industrial development. A radial basis function (RBF) neural network model with an automatic coding machine and fractional momentum was proposed for the prediction of tec...

Creating Sustainable Cultural Industries: The Perspective of Artificial Intelligence and Global Value Chain.

Journal of environmental and public health
In the era of artificial intelligence (AI), cultural industries have introduced new development opportunities, and their global value chain (GVC) position is receiving more attention. This study uses panel data from global cross-borders from 56 count...