Zafer Demir

Anadolu University, PORSUK MYO, Faculty Member

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Address: Eskisehir, Eskişehir, Turkey

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David Seamon

Kansas State University

Armando Marques-Guedes

UNL - New University of Lisbon

Gary Feinman

Field Museum

Antonio Bula

Universidad del Norte - Barranquilla, Colombia

naveen noronha

Visvesvaraya Technological University

Iain Staffell

Imperial College London

Prashant Ubarhande

Amravati University

José Francisco Pessanha

UERJ - Universidade do Estado do Rio de Janeiro / Rio de Janeiro State University

Daniel Marcelo

Universidad de Piura

Syukri Muhammad Nur

Darma Persada University

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Papers by Zafer Demir

An Infrared Spectroscopic Study on a Divalent Metal Salt of p-AMINOBENZOIC Acid [ABA(Mg)] Tetracyanonickelate

Spectroscopy Letters, 2002

... 120013138 Yusuf Atalay a * , Ibrahim Okur a &amp; Zafer Demir b pages 119-123. ... Data t... more

Alternative Approaches and Algorithms for Classification

In this work, four alternative algorithms for Classification/ Discrimination are described which ... more In this work, four alternative algorithms for Classification/ Discrimination are described which we have developed recently. These are believed to have several advantages over the previous ones via the introduction of a new concept, Centers of Masses for classes, and new cost functions which enforce clustering of different classes more explicitly compared to the previous approaches.

A New Classification Approach using Discriminant Functions

Journal of Information Science and Engineering, 2005

In this study, an approach involving new types of cost functions is given for the construction of... more

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Estimation of Target Density Functions by a New Algorithm

In this paper, a new Target Density Function(TDF) is theorized to image the radar targets by a ne... more In this paper, a new Target Density Function(TDF) is theorized to image the radar targets by a new estimation algorithm. TDF is represented in a specified manner. This method is developed by inspiring of ambiguity functions. TDF is obtained in the range and scanning angle plane different from Fowle-Naparst’s methods. Target density function is produced via a linear phased array radar system. This is another gain of the method. In addition to scanning, targeting and imaging properties, by this way, the problem associated with beamforming is bypassed.

Signature Recognition and Verification with ANN

In this paper, we present an off-line signature recognition and verification system which is base... more In this paper, we present an off-line signature recognition and verification system which is based on moment invariant method and ANN. Two separate neural networks are designed; one for signature recognition, and another for verification (i.e. for detecting forgery). Both networks use a four-step process. First step is to separate the signature from its background. Second step performs normalization and digitization of the original signature. Moment invariant vectors are obtained in the third step. And the last step implements signature recognition and verification.

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An Infrared Spectroscopic Study on a Divalent Metal Salt of p-AMINOBENZOIC Acid [ABA(Mg)] Tetracyanonickelate

Spectroscopy Letters, 2002

... 120013138 Yusuf Atalay a * , Ibrahim Okur a &amp; Zafer Demir b pages 119-123. ... Data t... more

Alternative Approaches and Algorithms for Classification

A New Classification Approach using Discriminant Functions

Journal of Information Science and Engineering, 2005

In this study, an approach involving new types of cost functions is given for the construction of... more

Download

Estimation of Target Density Functions by a New Algorithm

Signature Recognition and Verification with ANN

Download

Zafer Demir

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