Institution
University of Patras
Education•Pátrai, Greece•
About: University of Patras is a education organization based out in Pátrai, Greece. It is known for research contribution in the topics: Population & Catalysis. The organization has 13372 authors who have published 31263 publications receiving 677159 citations. The organization is also known as: Panepistímio Patrón.
Topics: Population, Catalysis, Finite element method, Nonlinear system, Graphene
Papers published on a yearly basis
Papers
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TL;DR: Using effluents from biogas production units, called digestates, in cultivation systems can help to optimize bioprocesses, and several bioproducts including biofuels, biofertilizers, proteins and valuable chemicals can be obtained.
128 citations
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TL;DR: The proposed classifier is a modified probabilistic neural network (PNN), incorporating a non-linear least squares features transformation (LSFT) into the PNN classifier, improved PNN performance, increased class separability and resulted in dimensionality reduction.
128 citations
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01 Nov 2008TL;DR: In this paper, the texture properties of the tissue surrounding micro calcification (MC) clusters on mammograms for breast cancer diagnosis were investigated using a probabilistic neural network, which achieved an area under receiver operating characteristic curve (Az) of 0.989.
Abstract: The current study investigates texture properties of the tissue surrounding microcalcification (MC) clusters on mammograms for breast cancer diagnosis. The case sample analyzed consists of 85 dense mammographic images, originating from the digital database for screening mammography. mammograms analyzed contain 100 subtle MC clusters (46 benign and 54 malignant). The tissue surrounding MCs is defined on original and wavelet decomposed images, based on a redundant discrete wavelet transform. Gray-level texture and wavelet coefficient texture features at three decomposition levels are extracted from surrounding tissue regions of interest (ST-ROIs). Specifically, gray-level first-order statistics, gray-level cooccurrence matrices features, and Lawspsila texture energy measures are extracted from original image ST-ROIs. Wavelet coefficient first-order statistics and wavelet coefficient cooccurrence matrices features are extracted from subimages ST-ROIs. The ability of each feature set in differentiating malignant from benign tissue is investigated using a probabilistic neural network. Classification outputs of most discriminating feature sets are combined using a majority voting rule. The proposed combined scheme achieved an area under receiver operating characteristic curve (Az) of 0.989. Results suggest that MCspsila ST texture analysis can contribute to computer-aided diagnosis of breast cancer.
127 citations
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TL;DR: In this paper, the anatase form of TiO2 on the clay surfaces using a sol-gel method with titanium isopropoxide as a precursor under hydrothermal treatment at 180°C.
127 citations
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TL;DR: In this article, the application of fiber-reinforced polymer (FRP) as a means of increasing the axial capacity of masonry through confinement, a subject not addressed before, is investigated.
Abstract: The application of fiber-reinforced polymer (FRP) as a means of increasing the axial capacity of masonry through confinement, a subject not addressed before, is investigated in this study. Four series of uniaxial compression tests, with a total of 42 specimens, were conducted on model masonry columns with these variables: number of layers, radius at the corners, cross-section aspect ratio, and type of fibers. It is concluded that, in general, FRP-confined masonry behaves very much like FRP-confined concrete. Confinement increases both the load-carrying capacity and the deformability of masonry almost linearly with the average confining stress. The uniaxial compression test results enabled the development of a simple confinement model for strength and ultimate strain of FRP-confined masonry. This model is consistent with the test results obtained here but should attract further experimental verification in the future to account for types of masonry materials other than those used in this study.
127 citations
Authors
Showing all 13529 results
Name | H-index | Papers | Citations |
---|---|---|---|
Thomas J. Meyer | 120 | 1078 | 68519 |
Thoralf M. Sundt | 112 | 755 | 55708 |
Chihaya Adachi | 112 | 908 | 61403 |
Eleftherios P. Diamandis | 110 | 1064 | 52654 |
Roland Siegwart | 105 | 1154 | 51473 |
T. Geralis | 99 | 808 | 52221 |
Spyros N. Pandis | 97 | 377 | 51660 |
Michael Tsapatsis | 77 | 375 | 20051 |
George K. Karagiannidis | 76 | 653 | 24066 |
Eleftherios Mylonakis | 75 | 448 | 21413 |
Matthias Mörgelin | 75 | 332 | 18711 |
Constantinos C. Stoumpos | 75 | 194 | 27991 |
Raymond Alexanian | 75 | 211 | 21923 |
Mark J. Ablowitz | 74 | 374 | 27715 |
John Lygeros | 73 | 667 | 21508 |