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Dive into the research topics where Mustafa Oral is active.

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Featured researches published by Mustafa Oral.


Parasitology Research | 2011

The evaluation of gnathiid (Crustacea: Isopoda: Gnathidae) parasitism in goldblotch grouper (Epinephelus costae Staindahner, 1878) in the northeastern Mediterranean Sea using the self-organizing map (SOM)

Ercument Genc; Mustafa Oral; Cavit Erol

The self-organizing map (SOM), which is widely used in economics and engineering applications, is a type of artificial neural network trained without supervision. SOM is used to represent multidimensional data in much lower dimensional spaces—usually in two dimensions (2D)—while preserving the topological properties of the input space. In this study, 2D maps were produced by using SOM to display the relationship between seasons, length, weight, and isopod infestation of goldblotch grouper (Epinephelus costae Staindahner, 1878). This is first study of gnathiid isopod praniza larvae infesting goldblotch grouper (E. costae Staindahner, 1878) in the northeast Mediterranean Sea (36°36′ N–36°07′ E, 35°52′ N–36°25′ E) in Iskenderun Bay. Fish were sampled monthly from Iskenderun Bay for a period of 12 months from 2006 May to 2007 April (Nt = 331,


Journal of Medical Systems | 2010

A Decision Support System for Preventing Legionella Disease

Oya H. Yüregir; Mustafa Oral; Olcay Kalan


IEEE Transactions on Consumer Electronics | 1992

Microprocessor based multifunction relay switching (home automation)

K. Balasubramanian; Mustafa Oral

{\hbox{Wt}}\pm {\hbox{SD}}\left( {\hbox{range}} \right) = {392}.{92}\pm {72}.{76}\,{\hbox{g}}\left( {{169} - {927}\,{\hbox{g}}} \right)


International Journal of Applied Mathematics and Computer Science | 2018

Pattern Layer Reduction for a Generalized Regression Neural Network by Using a Self–Organizing Map

Serkan Kartal; Mustafa Oral; Buse Melis Ozyildirim


2017 International Conference on Computer Science and Engineering (UBMK) | 2017

Improved aggressive and integrated aggressive selection methods for genetik algorithms

Mustafa Oral; Mashar Gençal

,


Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi | 2016

Genetik Algoritma Yaklaşımı ile Şantiye Yerleşim Planlaması

Mustafa Oral; Serkan Kartal; Emel Laptali Oral


Automation in Construction | 2012

Supervised vs. unsupervised learning for construction crew productivity prediction

Mustafa Oral; Emel Laptali Oral; Ahmet Aydin

{\hbox{TLt}}\pm {\hbox{SD}}\left( {\hbox{range}} \right) = {3}0.{85}\pm {3}.{88}\,{\hbox{cm}}\left( {{17} - {48}.{3}\,{\hbox{cm}}} \right)


Automation in Construction | 2010

Predicting construction crew productivity by using Self Organizing Maps

Emel Laptali Oral; Mustafa Oral


International Journal of Civil Engineering | 2016

Construction Crew Productivity Prediction: Application of Two Novel Methods

Emel Laptali Oral; Mustafa Oral; Mehmet Sait Andaç

). Gnathia sp. was only extracted from the epithelium of the buccal cavity and internal side of the gills arch. The monthly patterns in infested fish samples (Np = 109,


345 | 2007

A computer based system for documentation and monitoring of construction labour productivity

Mustafa Oral; Emel Laptali Oral

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Ercument Genc

Mustafa Kemal University

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Cavit Erol

Mustafa Kemal University

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