AIMC Topic: Data Collection

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Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy.

Scientific reports Feb 24, 2023
Pollen monitoring have become data-intensive in recent years as real-time detectors are deployed to classify airborne pollen grains. Machine learning models with a focus on deep learning, have an essential role in the pollen classification task. With...
Spectrometry, Fluorescence Deep Learning Artificial Intelligence Pollen Data Collection
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Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2023
Intelligent fault diagnosis aims to build robust mechanical condition recognition models with limited dataset. At this stage, fault diagnosis faces two practical challenges: (1) the variability of mechanical working conditions makes the collected dat...
Intelligence Data Collection Deep Learning Working Conditions Recognition, Psychology
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The Impact of Robotic-Assisted Total Knee Arthroplasty on Resident Training.

The Journal of arthroplasty Feb 11, 2023
BACKGROUND: As robotic-assisted total knee replacement (rTKA) continues to gain popularity, the impact of this technology on resident education remains unknown. The purpose of this study was to describe trainee experience and perceptions of rTKA and ...
Robotics Robotic Surgical Procedures Humans Data Collection Knee Joint Orthopedics Arthroplasty, Replacement, Knee
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The Evolution and Application of Artificial Intelligence in Rhinology: A State of the Art Review.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jan 29, 2023
OBJECTIVE: To provide a comprehensive overview on the applications of artificial intelligence (AI) in rhinology, highlight its limitations, and propose strategies for its integration into surgical practice.
Image Processing, Computer-Assisted Robotics Algorithms Data Collection Artificial Intelligence Humans
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Brain Data Standards - A method for building data-driven cell-type ontologies.

Scientific data Jan 24, 2023
Large-scale single-cell 'omics profiling is being used to define a complete catalogue of brain cell types, something that traditional methods struggle with due to the diversity and complexity of the brain. But this poses a problem: How do we organise...
Brain Humans Callithrix Biological Ontologies Mice Animals Data Collection
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BioSAXS at European Synchrotron Radiation Facility - Extremely Brilliant Source: BM29 with an upgraded source, detector, robot, sample environment, data collection and analysis software.

Journal of synchrotron radiation Jan 1, 2023
As part of its Extremely Brilliant Source (EBS) upgrade project, the ESRF's BM29 BioSAXS beamline was subject to a significant upgrade and refurbishment. In addition to the replacement of the beamline's original bending magnet source by a two-pole wi...
Synchrotrons Scattering, Small Angle Data Collection X-Ray Diffraction Robotics Software Humans
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A robust and resilience machine learning for forecasting agri-food production.

Scientific reports Dec 16, 2022
This research proposes a new framework for agri-food capacity production by considering resiliency and robustness and paying attention to disruption and risk for the first time. It is applied robust stochastic optimization by adding robustness to the...
Food Data Collection Machine Learning Forecasting
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Protocol for the operation of a breathing and vaping biomimetic robot to delineate real-time inhaled particle profile of electronic cigarettes.

STAR protocols Nov 30, 2022
We recently developed a robotic human vaping mimetic real-time particle analyzer (HUMITIPAA) to evaluate the impact of change in chemical constituents and breathing profiles of electronic cigarettes (ECs) on potential pulmonary toxicity. Here, we des...
Data Collection Electronic Nicotine Delivery Systems Vaping Robotics Humans Biomimetics
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Applied Machine Learning for IIoT and Smart Production-Methods to Improve Production Quality, Safety and Sustainability.

Sensors (Basel, Switzerland) Nov 25, 2022
Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders at many levels much faster, with much greater granularity than ever before. When it comes to smart production, the aim of analyzing the collected data is usu...
Communication Data Collection Evidence Gaps Machine Learning Industry
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1D Barcode Detection: Novel Benchmark Datasets and Comprehensive Comparison of Deep Convolutional Neural Network Approaches.

Sensors (Basel, Switzerland) Nov 14, 2022
Recent advancement in Deep Learning-based Convolutional Neural Networks (D-CNNs) has led research to improve the efficiency and performance of barcode recognition in Supply Chain Management (SCM). D-CNNs required real-world images embedded with groun...
Data Collection Neural Networks, Computer Algorithms
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