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Heteroscedasticity effects as component to future stock market predictions using RNN-based models.
PloS one
May 24, 2024
Heteroscedasticity effects are useful for forecasting future stock return volatility. Stock volatility forecasting provides business insight into the stock market, making it valuable information for investors and traders. Predicting stock volatility ...
Revolutionizing energy practices: Unleashing the power of artificial intelligence in corporate energy transition.
Journal of environmental management
Apr 6, 2024
Corporate energy transition is crucial for long-term sustainable development. The widely discussed Artificial Intelligence (AI), as a disruptive technological innovation, is highly potential for enhancing environment performance. However, the specifi...
Innovative Metaheuristic Optimization Approach with a Bi-Triad for Rehabilitation Exoskeletons.
Sensors (Basel, Switzerland)
Mar 30, 2024
The present work proposes a comprehensive metaheuristic methodology for the development of a medical robot for the upper limb rehabilitation, which includes the topological optimization of the device, kinematic models (5 DOF), human-robot interface, ...
Study protocol for factors influencing the adoption of ChatGPT technology by startups: Perceptions and attitudes of entrepreneurs.
PloS one
Feb 15, 2024
BACKGROUND: Generative Artificial Intelligence (AI) technology, for instance Chat Generative Pre-trained Transformer (ChatGPT), is continuously evolving, and its userbase is growing. These technologies are now being experimented by the businesses to ...
Evaluation and screening of technology start-ups based on PCA and GA-BPNN.
PloS one
Feb 8, 2024
PURPOSE: Due to the existence of information opacity, there is a common problem of adverse selection in the process of screening alternative technology start-ups (TSs) and determining investment targets by venture capital institutions, which does not...
Security Implications of AI Chatbots in Health Care.
Journal of medical Internet research
Nov 28, 2023
Artificial intelligence (AI) chatbots like ChatGPT and Google Bard are computer programs that use AI and natural language processing to understand customer questions and generate natural, fluid, dialogue-like responses to their inputs. ChatGPT, an AI...
Hybrid deep learning models with multi-classification investor sentiment to forecast the prices of China's leading stocks.
PloS one
Nov 27, 2023
The prediction of stock prices has long been a captivating subject in academic research. This study aims to forecast the prices of prominent stocks in five key industries of the Chinese A-share market by leveraging the synergistic power of deep learn...
Long- and Short-Term Memory Model of Cotton Price Index Volatility Risk Based on Explainable Artificial Intelligence.
Big data
Nov 17, 2023
Market uncertainty greatly interferes with the decisions and plans of market participants, thus increasing the risk of decision-making, leading to compromised interests of decision-makers. Cotton price index (hereinafter referred to as cotton price) ...
Impact of industrial robot applications on global value chain participation of China manufacturing industry: Mediation effect based on product upgrading.
PloS one
Nov 8, 2023
Promoting the application of industrial robot (IR) is an important module for China to build core competitiveness, and it is also the main grasp of global value chain participation (GVCP). Using China manufacturing industry panel data from 2006-2014,...
A Method for Predicting Production Costs Based on Data Fusion from Multiple Sources for Industry 4.0: Trends and Applications of Machine Learning Methods.
Computational intelligence and neuroscience
Oct 10, 2023
There is a growing need for manufacturing processes that improve product quality and production rates while reducing costs. With the advent of multisensory information fusion technology, individuals can acquire a broader range of information. Several...
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