Results 31 to 40 of about 17,091,611 (155)
Simulation of Human Ear Recognition Sound Direction Based on Convolutional Neural Network
In recent years, more and more people are applying Convolutional Neural Networks to the study of sound signals. The main reason is the translational invariance of convolution in time and space.
Wang Zhuhe +4 more
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AI as a Digital Transformation Tool for Competitive Business Development [PDF]
Artificial intelligence contributes to the transformation of businesses and affects their competitiveness. The purpose of this research is to create a company's business model by analysing the impact of artificial intelligence tools on business ...
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Business Intelligence Systems [PDF]
The aim of this article is to show the importance of business intelligence and its growing influence. It also shows when the concept of business intelligence was used for the first time and how it evolved over time.
Bogdan NEDELCU
doaj
The prediction of time series is of great significance for rational planning and risk prevention. However, time series data in various natural and artificial systems are nonstationary and complex, which makes them difficult to predict.
Zhigang Shi +5 more
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This paper studies the effects of different combinations of scanning strategies between layers on the surface quality, tensile properties, and microstructure of samples in a laser beam powder bed fusion (L-PBF) formation experiment of Ti-6Al-4V titanium ...
Wentian Shi +5 more
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A single unmanned surface combatant (USV) has poor mission execution capability, so the cooperation of multiple unmanned surface ships is widely used. Cooperative hunting is an important aspect of multi USV collaborative research.
Zhihao Chen +5 more
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In the era of globalization, the role of Information and Communication Technology (ICT) is the main asset in winning the global competition. Currently the role of ICT in education is enormous.
Ardhin Primadewi +2 more
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Nonstationary Time Series Prediction Based on Deep Echo State Network Tuned by Bayesian Optimization
The predictions from time series data can help us sense development trends and make scientific decisions in advance. The commonly used forecasting methods with backpropagation consume a lot of computational resources. The deep echo state network (DeepESN)
Yu-Ting Bai +5 more
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Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting
Air quality plays a vital role in people’s health, and air quality forecasting can assist in decision making for government planning and sustainable development.
Xue-Bo Jin +7 more
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A Conceptual Model for determining the Value of Business Intelligence Systems [PDF]
Philosophiae Doctor - PhDBusiness Intelligence refers to the use of Information Systems to enable raw data to be collated into information that can be reported, with the end goal of using this information to enhance the business decision-making process.
Budree, Adheesh
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