the properties and application of artificial

Artificial Intelligence: A New Reality for Chemical

Beginning with a very large number of candidate polymers, the AI technology can predict polymer properties in less than one second per polymer, according to SDK. Current trials have focused on determining polymers' glass transition temperature from a field of 417 different types of polymer structural data, but the technology could easily be applied to any number of desired properties.

The Healing Uses of Artificial Skin

2018/3/30Artificial skins have also been produced by growing sheets of skin live skin cells taken from the patient or other humans. One major source is the foreskins of newborns, taken after circumcision. Such cells often do not stimulate the body's immune system—a property that allows fetuses to develop in their mother's wombs without being rejected—and hence are much less likely to be

APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS IN DRILLING

AISCR, 2015, Vol. 5, No. 2, pp. 121 APPLICATION OF ARTIFICIAL INTELLIGENCE METHODS IN DRILLING SYSTEM DESIGN AND OPERATIONS: A REVIEW OF THE STATE OF THE ART Opeyemi Bello1, Javier Holzmann1, Tanveer Yaqoob1, Catalin Teodoriu2

Investigating mechanical properties and biocement

Investigating mechanical properties and biocement application of CaCO 3 precipitated by a newly-isolated Lysinibacillus sp. WH using artificial neural networks. Jindarat Ekprasert Department of Microbiology, Faculty of Science, Khon Kaen University, 123

Application of Artificial Neural Networks in Prediction of

Application of Artificial Neural Networks in Prediction of Compressive Strength of Concrete by Using Ultrasonic Pulse Velocities Mr. P.S quality since the pulse velocity depends only on the elastic properties of the material and not on the geometry. reason

Chemistry and Use of Artificial Intense Sweeteners

2017/6/6The artificial sweeteners are chemical compounds with a diverse range of chemical structuresincluding sulfonamides, sucrose derivatives, peptides and their derivatives (Seldman, 2010). Due to different physicochemical properties of artificial agent in a

APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN GEOTECHNICAL

Artificial Neural Networks), is based on the application of artificial neural networks. Applications include developing maps of discrete spatially-distributed fields (e.g. log-hydraulic conductivity fields) given estimates of hydraulic conductivity from pumping

The Healing Uses of Artificial Skin

2018/3/30Artificial skins have also been produced by growing sheets of skin live skin cells taken from the patient or other humans. One major source is the foreskins of newborns, taken after circumcision. Such cells often do not stimulate the body's immune system—a property that allows fetuses to develop in their mother's wombs without being rejected—and hence are much less likely to be

Artificial cells: from basic science to applications

2016/11/1Although an artificial cell that possesses all basic properties of a living cell has not been created so far, recent advancements indicate that it is now a realistic goal. Up till now, two main fundamental approaches have been considered for the construction of an artificial cell: A top-down approach and a bottom-up approach ( Fig. 1 ) [12] .

Artificial Neural Networks to Estimate the Thermal Properties of an Experimental Micro

Artificial Neural Networks to Estimate the Thermal Properties of an Experimental Micro-Alloyed Steel and Their Application to the Welding Thermal Analysis 743 same temperature [22], i.e., the thermal properties would be different. It can be concluded that the

Application of multiple artificial neural networks for the determination of the optical properties

Application of multiple artificial neural networks for the determination of the optical properties of turbid media Marion Jger, Florian Foschum, and Alwin Kienle Institut fr Lasertechnologien in der Medizin und Metechnik an der Universitt Ulm, Helmholtzstrae 12

Application of Artificial Neural Networks to Study the

Application of Artificial Neural Networks to Study the Properties of Reconstructed Attractors for Time Series Юрий Куперин Download PDF Download Full PDF Package This paper A short summary of this paper 37 Full PDFs related to this paper READ PAPER

Application of Artificial Neural Networks (ANN)to Predict Geomechanical Properties

Application of Artificial Neural Networks (ANN)to Predict Geomechanical Properties of AsmariLimestones M. Razifard1, M.Khamechian1*, M.R.AminNaseri2 1) Department of Engineering Geologyt,Tarbiat Modares University, P.O. Box 14115-175, Tehran, Iran

Application of Artificial Neural Networks for Prediction of Nickel

Application of Artificial Neural Networks for Prediction of Nickel-based Superalloys Service Properties Based on the Chemical Composition ANDREY TYAGUNOV, OLEG MILDER, DMITRY TARASOV Department of IT and Automation Ural Federal University Mira

Application of an artificial neural network in the use of

2012/2/13Application of an artificial neural network in the use of physicochemical properties as a low cost proxy of power transformers DGA data Abstract: This paper is about the relationship between dissolved gases and the quality of the insulating mineral oil used in power transformers.

Intelligent Agents: Characteristics and Applications

ADVERTISEMENTS: In this article we will discuss about:- 1. Meaning of Intelligent Agents 2. Characteristics and Applications of Intelligent Agents. Meaning of Intelligent Agents: Intelligent Agents (IA) are software programs which represent a new technology with the potential to become one of the most important tools of information technology in the twenty-first century. IA can []

Application of artificial neural networks for the prediction

2020/1/28Further, it is shown that the trained traction-separation ANN captures important physical properties and is able to predict traction values for given separations not contained in the training data. For example, MD simulations show a transition in traction-separation behaviour from pure sliding mode under shear load to combined GB sliding and decohesion with intermediate hardening regime at

Application of artificial neural networks for the prediction

2020/1/28Further, it is shown that the trained traction-separation ANN captures important physical properties and is able to predict traction values for given separations not contained in the training data. For example, MD simulations show a transition in traction-separation behaviour from pure sliding mode under shear load to combined GB sliding and decohesion with intermediate hardening regime at

Artificial Intelligence MCQ (Multiple Choice Questions)

Artificial Intelligence MCQ (Multiple Choice Questions) with Tutorial, Introduction, History of Artificial Intelligence, AI, AI Overview, types of agents, intelligent agent, agent environment etc. Answer: d. Partial local Information Explanation: The Wumpus world is an example environment that is made of grids of squares surrounded by walls.

Chemistry and Use of Artificial Intense Sweeteners

2017/6/6The artificial sweeteners are chemical compounds with a diverse range of chemical structuresincluding sulfonamides, sucrose derivatives, peptides and their derivatives (Seldman, 2010). Due to different physicochemical properties of artificial agent in a

Application of artificial intelligence technique for

Application of artificial intelligence technique for modelling elastic properties of 2D nanoscale material A. Garg School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore, School of

What is Artificial Intelligence?

Introduction To Artificial Intelligence The intelligence shown by the machines in par with the natural intelligence of humans is called artificial intelligence. The computer program is made to learn, think and act according to human beings. We can say that we are

How bioceramics is made

Some of these properties may be more important than others, depending on the type of artificial bone material and its application. Since artificial bone can sometimes be considered a medical device or at least part of a medical device, it must meet national and international standards for such devices and materials, as well as regulations established

Application of Artificial Neural Networks in the Estimation of Mechanical Properties of

Application of Artificial Neural Networks in t he Estimation of Mechanical Properties of Materials 119 the input and output variables for a given proble m. On the other hand, it must not be overly large, since otherwise its connection weights may not be accurately

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