AIMC Topic: Safety

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Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles.

Accident; analysis and prevention Sep 4, 2020
The era of Big Data has arrived. Recently, under the environment of intelligent transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been applied in various fields in transportation including traffic safety. In this study...
Artificial Intelligence Research Design Big Data Humans Automobile Driving Automation Transportation Accidents, Traffic Safety
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Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization.

PloS one Jul 17, 2020
This study establishes a model of prefabricated building project risk management system based on the Modified Teaching-Learning-Based-Optimization (MTLBO) algorithm and a prediction model of deep learning multilayer feedforward neural network (Backpr...
Facility Design and Construction Risk Management Safety Deep Learning Decision Making
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Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications.

Sensors (Basel, Switzerland) Jul 15, 2020
Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and remote monitoring. However, they also pose serious security threats to public privacy. The timely detection of a malicious drone is currently an open research issue fo...
Safety Support Vector Machine Aircraft
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Influence of the combination of big data technology on the Spark platform with deep learning on elevator safety monitoring efficiency.

PloS one Jun 17, 2020
To effectively minimize elevator safety accidents, big data technology is combined with deep learning technology based on the Spark platform. This study first introduces the relevant theories of elevator safety monitoring technology, namely big data ...
Safety Big Data Elevators and Escalators Deep Learning
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Role of Artificial Intelligence and Machine Learning in Nanosafety.

Small (Weinheim an der Bergstrasse, Germany) Jun 15, 2020
Robotics and automation provide potentially paradigm shifting improvements in the way materials are synthesized and characterized, generating large, complex data sets that are ideal for modeling and analysis by modern machine learning (ML) methods. N...
Robotics Safety Toxicology Machine Learning Artificial Intelligence Algorithms
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Beyond safety drivers: Applying air traffic control principles to support the deployment of driverless vehicles.

PloS one May 21, 2020
By adopting and extending lessons from the air traffic control system, we argue that a nationwide remote monitoring system for driverless vehicles could increase safety dramatically, speed these vehicles' deployment, and provide employment. It is bec...
Software Algorithms Computer Systems Humans Robotics Artificial Intelligence Safety Aviation Automation United States Automobile Driving Motor Vehicles Man-Machine Systems Models, Theoretical
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Machine Learning Systems Applied to Health Data and System.

European journal of health law May 19, 2020
The use of machine learning (ML) in medicine is becoming increasingly fundamental to analyse complex problems by discovering associations among different types of information and to generate knowledge for medical decision support. Many regulatory and...
Drug Development Decision Making Risk Management Trust Drug Discovery Malpractice Safety Medical Informatics Bias Confidentiality Humans Software Precision Medicine Machine Learning Medical Device Legislation
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Human Factors Contributions to the Development of Standards for Displays of Unmanned Aircraft Systems in Support of Detect-and-Avoid.

Human factors Apr 14, 2020
OBJECTIVE: The aim is to provide a high-level synthesis of human factors research that contributed to the development of detect-and-avoid display requirements for unmanned aircraft systems (UAS).
Ergonomics Man-Machine Systems Robotics Data Display Aircraft Accidents, Aviation Safety
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Hardhat-Wearing Detection Based on a Lightweight Convolutional Neural Network with Multi-Scale Features and a Top-Down Module.

Sensors (Basel, Switzerland) Mar 27, 2020
Construction sites are dangerous due to the complex interaction of workers with equipment, building materials, vehicles, etc. As a kind of protective gear, hardhats are crucial for the safety of people on construction sites. Therefore, it is necessar...
Construction Industry Occupational Exposure Safety Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Predicting real-time traffic conflicts using deep learning.

Accident; analysis and prevention Jan 10, 2020
Recently, technologies for predicting traffic conflicts in real-time have been gaining momentum due to their proactive nature of application and the growing implementation of ADAS technology in intelligent vehicles. In ADAS, machine learning classifi...
Humans Algorithms Safety Deep Learning Reproducibility of Results Data Collection Accidents, Traffic
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