Results 51 to 60 of about 46,131 (256)

Integrative IRT for documentation and interpretation of archaeological structures [PDF]

open access: yes, 2019
The documentation of built heritage involves tangible and intangible features. Several morphological and metric aspects of architectural structures are acquired throughout a massive data capture system, such as the Terrestrial Laser Scanner (TLS) and the
Cimadomo, Paolo   +2 more
core   +1 more source

Evaluation of the breathing mode by infrared thermography

open access: yesBrazilian Journal of Otorhinolaryngology, 2023
Abstract Objective To analyze breathing modes with infrared thermography. Methods Cross-sectional observational exploratory study conducted in 20 female participants with a mean age of 26.0 years. The thermograms were made following the principles of the American Academy of Thermology and the Brazilian Thermology Society. The camera FLIR A315
Yasmim Carvalho Telson   +4 more
openaire   +4 more sources

Challenges of measuring body temperatures of free-ranging birds and mammals [PDF]

open access: yes, 2015
The thermal physiology of most birds and mammals is characterised by considerable spatial and temporal variation in body temperature. Body temperature is, therefore, a key parameter in physiological, behavioural and ecological research.
Gallon, S., McCafferty, D.J., Nord, A.
core   +2 more sources

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Depth estimation of inner wall defects by means of infrared thermography [PDF]

open access: yes, 2009
There two common methods dealing with interpreting data from infrared thermography: qualitatively and quantitatively. On a certain condition, the first method would be sufficient, but for an accurate interpretation, one should undergo the second one ...
Mohd. Mokji, Musa   +1 more
core  

thermogram Breast Cancer Detection : a comparative study of two machine learning techniques [PDF]

open access: yes, 2020
Breast cancer is considered one of the major threats for women’s health all over the world. The World Health Organization (WHO) has reported that 1 in every 12 women could be subject to a breast abnormality during her lifetime. To increase survival rates,
AlFayez, F, El-Soud, MWA, Gaber, T
core   +2 more sources

Anomalous Pressure‐Temperature Ultrahigh Sensitivities in Atomically Engineered Carbonitride MXenes for Multifunctional Wearable Human–Machine Interfaces: Joint Computational–Experimental Elucidations

open access: yesAdvanced Functional Materials, EarlyView.
Atomically engineered layered 2D Ti3CNTz carbonitride MXene exhibits ultrahigh heat and pressure sensitivity, enabling dual‐mode sensors with 300%–400% performance enhancement and durability for real‐time health‐monitoring interface devices. Precise nitrogen incorporation (e.g., Ti3C1.8N0.2Tz) boosts conductivity, enhancing temperature response, while ...
Debananda Mohapatra   +12 more
wiley   +1 more source

The use of thermography in the diagnosis of ship piston internal combustion engines

open access: yesMATEC Web of Conferences, 2018
The intensity of infrared radiation emitted by objects depends mainly on their temperature. One of the diagnostic signals may be the temperature field. In infrared thermography, this quantity is used as an indicator of the technical condition of marine ...
Monieta Jan
doaj   +1 more source

Evaluation of Natural Stone Weathering in Heritage Building by Infrared Thermography

open access: yesHeritage, 2022
The application of non-contact diagnostic methodologies is the current challenge in the frame of the cultural heritage, referred to as preservation, monitoring and restoration.
Giovanna Pappalardo   +3 more
doaj   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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