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Identification of tumor region parameters using evolutionary algorithm and multiple reciprocity boundary element method

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TLDR
The inverse problems consisting in the simultaneous estimation of unknown thermophysical and/or geometrical parameters of the tumor region are solved and the evolutionary algorithm coupled with the multiple reciprocity boundary element method has been applied.
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This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2007-08-01. It has received 72 citations till now. The article focuses on the topics: Boundary knot method & Boundary element method.

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Infrared imaging technology for breast cancer detection – Current status, protocols and new directions

TL;DR: The current work reviews the progress that has been made in using thermal imaging to detect breast cancer over the past three decades and identifies aspects that need further refinement for it to become a reliable tool to diagnose breast cancer.
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Estimation of breast tumor thermal properties using infrared images

TL;DR: The results showed that it is possible to estimate the thermophysical properties using the thermography, and the next stage will be to use the geometry of a real breast for the numerical simulation in conjunction with a linear mapping of the temperatures measured over the breast volume.
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Tumor location and parameter estimation by thermography

TL;DR: In this study an estimation methodology is presented to determine unknown thermophysical or geometrical parameters of a tumor region using the temperature profile on the skin surface that may be obtained by infrared thermography.
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Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm

TL;DR: A novel algorithm based on the extended finite element method (XFEM) and an enhanced artificial bee colony (EABC) algorithm to detect and quantify multiple flaws in structures is presented.
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A spectral element method for solving the Pennes bioheat transfer equation by using triangular and quadrilateral elements

TL;DR: In this paper, a spectral element method is developed for the numerical solution of the Pennes bioheat transfer equation which models the thermal behavior of the living tissue, and the implementation of this method is completely explained.
References
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Book

Genetic Algorithms + Data Structures = Evolution Programs

TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.
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Boundary Elements: An Introductory Course

TL;DR: Boundary concepts are introduced and immediately applied in simple - but useful - computer codes that facilitate the comprehension of boundary elements.
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An Introductory Course

TL;DR: In the early days of the University of California, Berkeley, the classes in the freshman and sophomore courses are taught usually in sections of less than twenty students as mentioned in this paper, and the upper-class work is done in a few classes and many seminars, the latter being a definitely small group that can meet around the conference table for papers and discussions.
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