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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 Big Data Technology and Visual Neural Network in Emotional Expression Analysis of Oil Painting Theme Creation in Public Environment.

Journal of environmental and public health
With the progress of science and technology and the arrival of the big data era, people increasingly rely on computers to deal with daily life and related affairs. In recent years, machine learning has become more and more popular and has achieved go...

COVID-19 and public support for autonomous technologies-Did the pandemic catalyze a world of robots?

PloS one
By introducing a novel risk to human interaction, COVID-19 may have galvanized interest in uses of artificial intelligence (AI). But was the pandemic a large enough catalyst to change public attitudes about the costs and benefits of autonomous system...

Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques.

International journal of environmental research and public health
Research into assisted living environments -within the area of Ambient Assisted Living (ALL)-focuses on generating innovative technology, products, and services to provide medical treatment and rehabilitation to the elderly, with the purpose of incre...

Application of LSTM Neural Network Technology Embedded in English Intelligent Translation.

Computational intelligence and neuroscience
With the rapid development of computer technology, the loss of long-distance information in the transmission process is a prominent problem faced by English machine translation. The self-attention mechanism is combined with convolutional neural netwo...

Improved Real-Time Fire Warning System Based on Advanced Technologies for Visually Impaired People.

Sensors (Basel, Switzerland)
Early fire detection and notification techniques provide fire prevention and safety information to blind and visually impaired (BVI) people within a short period of time in emergency situations when fires occur in indoor environments. Given its direc...

A Study on the Application of BP Neural Network Based on Visual Recognition in Regional Economic Forecasting.

Computational intelligence and neuroscience
The economic growth in the new normal is no longer limited to the total amount and scale of economic growth in the traditional and neoclassical periods, but has changed to "quality" and "development" under the dual requirements of historical changes ...

A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey.

Trends in plant science
Artificial intelligence (AI) has emerged as a fundamental component of global agricultural research that is poised to impact on many aspects of plant science. In digital phenomics, AI is capable of learning intricate structure and patterns in large d...

Visual Resolve of Modern Educational Technology Based on Artificial Intelligence under the Digital Background.

Computational intelligence and neuroscience
With the development of Internet technology and the arrival of the knowledge-driven era, the breadth and depth of educational informatization are increasing day by day. Educational technology is not only a subject but also a career adapted to educati...

How do people think about the implementation of speech and video recognition technology in emergency medical practice?

PloS one
BACKGROUND: Recently, speech and video information recognition technology (SVRT) has developed rapidly. Introducing SVRT into the emergency medical practice process may lead to improvements in health care. The purpose of this study was to evaluate th...