AIMC Topic: Automation

Clear Filters Showing 261 to 270 of 967 articles

DIY liquid handling robots for integrated STEM education and life science research.

PloS one
Automation has played a key role in improving the safety, accuracy, and efficiency of manufacturing and industrial processes and has the potential to greatly increase throughput in the life sciences. However, the lack of accessible entry-point automa...

Deep Learning System for Recycled Clothing Classification Linked to Cloud and Edge Computing.

Computational intelligence and neuroscience
Recently, IT technologies related to the Fourth Industrial Revolution (4IR), such as artificial intelligence (AI), Internet of things (IoT), cloud computing, and edge computing have been studied. Although there are many used clothing occurrences with...

Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging.

Scientific reports
Thus far, there have been no reported specific rules for systematically determining the appropriate augmented sample size to optimize model performance when conducting data augmentation. In this paper, we report on the feasibility of synthetic data a...

A robot-assisted acoustofluidic end effector.

Nature communications
Liquid manipulation is the foundation of most laboratory processes. For macroscale liquid handling, both do-it-yourself and commercial robotic systems are available; however, for microscale, reagents are expensive and sample preparation is difficult....

Capturing fine-grained details for video-based automation of suturing skills assessment.

International journal of computer assisted radiology and surgery
OBJECTIVES: Manually-collected suturing technical skill scores are strong predictors of continence recovery after robotic radical prostatectomy. Herein, we automate suturing technical skill scoring through computer vision (CV) methods as a scalable m...

Improving remote material classification ability with thermal imagery.

Scientific reports
Material recognition using optical sensors is a key enabler technology in the field of automation. Nowadays, in the age of deep learning, the challenge shifted from (manual) feature engineering to collecting big data. State of the art recognition app...

Towards fully automated robotic platform for remote auscultation.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Since most developed countries are facing an increase in the number of patients per healthcare worker due to a declining birth rate and an ageing population, relatively simple and safe diagnosis tasks may need to be performed using roboti...

Towards an automated approach for smart sterility test examination.

SLAS technology
As new technologies emerge, deep learning applications are often integral parts of new products as features and often as differentiating benefits. This is especially notable in commercial consumer products in everyday applications, such as voice assi...

A Smart Alcoholmeter Sensor Based on Deep Learning Visual Perception.

Sensors (Basel, Switzerland)
Process automation, in general, enables the enhancement of productivity, product quality, and consistency alongside other production metrics. Liquor production on an industrial scale also follows the automation trend. However, small and medium produc...

Smart systems and data-driven services in healthcare.

Computers in biology and medicine
The modern development of Medicine and Healthcare is primarily based on the automation of various processes to support the correct and timely medical decisions. A doctor or other medical staff's fast, accurate, reliable diagnosis, prevention, and tre...