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33
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Introduction
Melih İnal currently works at the Department of Informatics, Kocaeli University. Their most recent publication is 'Only One Neuron either N-bit Parity Rule Based Modified Translated Multiplicative or McCulloch-Pitts Models for Some Machine Learning Problems'.
Current institution
Additional affiliations
June 2014 - March 2022
January 2010 - March 2015
April 2013 - June 2014
Publications
Publications (33)
![Fig. 1. The progression of the virus that binds to the ACE2 enzyme [5].](profile/Melih-Inal/publication/375693815/figure/fig1/AS:11431281205294782@1700180938566/The-progression-of-the-virus-that-binds-to-the-ACE2-enzyme-5_Q320.jpg)
In this paper, some biochemical findings of patients who applied to Kocaeli University Faculty of Medicine Emergency Service with suspicion of COVID-19 are examined. The common characteristics of the cases regarding mortality status are analyzed via factor analysis (FA). Following the FA, blood parameters related to the severity of the cases are de...
The study has four parts: The first part is the introduction. In this part FinTech
description, importance and FinTech’s history are summarized. The second part of
the study is about FinTech applications and products in the financial industry. The
third part is related to a literature review about FinTechs in Turkey. In the last part
of the study,...
Since surface hardness affects wear resistance and case depth affects fatigue strength, the optimum value of both is extremely important with respect to the area of use. The aim of this study was to investigate the possibility of predicting case depth and surface hardness in ion nitrided AISI 4340 steels as a function of process time and temperatur...
Bankalar türev ürünleri, faiz oranı riski, döviz kuru riski, kredi riski, pay senedi ve emtia fiyatlarındaki risklere karşı korunmak amacıyla kullanırlar. Bu çalışmanın amacı, türev ürün kullanımının bankanın etkinliği ile ilişkisini belirleyerek bankaların etkinlik puanlarının türev ürün kullanımı açısından farklılık yaratıp yaratmadığını belirlem...
In this experimental study, Taguchi experiment design and Adaptive Neuro-Fuzzy Inference System (ANFIS) methods were used to optimize the flexural strength of polypropylene / talc / colemanite hybrid composite materials depending on their production parameters and hybrid filler ratios in different percentages by weight. It is known, that in most se...
Yüksek öğretim kurumlarında son yıllarda öğrenci sayılarında ciddi artışlar meydana gelmiştir. Özellikle sınıf, laboratuar ve öğretim görevlisi ihtiyacı artmıştır. Bu sebeplerden dolayı, Üniversite ortak derslerinin uzaktan eğitim yöntemi kullanılarak verilmesi bir seçenek haline gelmiştir. Temel Bilgi Teknolojileri Kullanımı dersi, Üniversitelerde...
Öz
In this study, solutions to machine learning problems such as Monk’s 2 (M2), Balloon and Tic-Tac-Toe problems employing a single neuron dependent on rules which use either modified translated multiplicative (πm) neuron or McCulloch-Pitts neuron model is proposed. Since M2 problem is similar to N-bit parity problem, translated multiplicative (πt)...
Günümüzde, Internet ve Web teknolojilerinde meydana gelen hızlı gelişmeler eğitim alanına da yansımakta ve yeni ihtiyaçlar ortaya çıkarmaktadır. Geleneksel eğitimin, zenginleştirilmiş eğitim materyalleri ve yeni teknolojiler ile desteklenmesi öğrencilerin derslere olan ilgisini ve ders verimliliğini arttırmaktadır. Bilgisayar destekli öğretimin gün...
Yapılan çalışmada görüntü işleme teknikleri kullanılarak ortamda bulunan renkli nesnelerin gerçek zamanlı olarak görüntü düzlemi üzerinde yer alan konumları tespit edilmesine yönelik bir algoritma önerilmektedir. Önerilen algoritmada, kamera kalibrasyonu ve düzeltme işlemi yapıldıktan sonra gauss filtresi kullanılarak görüntü üzerinde yumuşatma işl...
In this study, Adaptive Neuro-Fuzzy Inference System (ANFIS) is used for multi-criteria decision making in supplier evaluation and selection problem. The contemporary supply-chain management is looking for both quantitative and qualitative measures other than just getting the lowest price. After evaluating a number of distinct suppliers, determinin...
In this study, an adaptive neuro-fuzzy inference system (ANFIS) was used to predict conversion kinetics as the percent ratio of SrSO4 to SrCO3 in sodium carbonate solution. The results of the ANFIS were compared to a previous study of multilayer perceptron (MLP) artificial neural networks (ANNs) that used the same data set. The ANFIS model showed p...
Bu çalışmada; lisans seviyesinde bir ders için, e-öğrenme materyalleri hazırlanarak, Kocaeli Üniversitesi Uzaktan Eğitim Uygulama ve Araştırma Merkezi (UZEM) sunucuları üzerindeki ATUTOR sisteminde açılan kurs dizinine yüklenerek internet ortamına aktarılmıştır. Sistemin etkileri belirlenen bir öğrenci grubu üzerinde deneysel yöntemlerle gözlemlenm...
A very significant number of Turkish citizens are undergone financial and emotional damages, loose their lives, and become disabled on account of traffic accidents. There are social responsibility projects that are sponsored, launched for citizens to act wisely on traffic safety. The content of Traffic safety course, supported by sponsors, was crea...
Date palm (Phoenix dactylifera L.) seeds, a waste product as a new, novel, and natural biosorbent, were used to remove Cu(II) ions from aqueous solutions by a batch sorption process. In this study first the comparison of a Multiple Linear Regression (MLR) and an Adaptive Neuro-Fuzzy Inference System (ANFIS) applied for modeling the sorption process...
In this study, the dissolved gases in oil due to the incipient failures in the oilimmersed transformer are analyzed and diagnosed by fuzzy logic approach considering the framework of IEC 60599 standard. In addition to the incipient failures of transformer, more precise results are obtained about the condition of cellulosic material by using CO2/CO...
In this study, we report on the rubber compounds in a model passenger tire selected for modeling their cure curves at different temperatures using Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Optimum cure time of the rubber compounds are predicted using ANFIS model. Equivalent cure concept (ECC), that is traditionally used in rubber and tire ind...
Eğitimde Yeniden Yapılanma ve Kalite Süreci kapsamındaki üniversiteler örgün eğitimde ders planlarını, öğrenme çıktılarını ve öğretim yöntemlerini yenilemektedirler. Bu kapsamda örgün öğretimde okuyan öğrencilere, alternatif bir öğretim yöntemi olarak uzaktan eğitim ile seçmeli ders verilebilmektedir. Bu çalışmada, Kocaeli Üniversitesi Enformatik B...
Sanayileşmiş dünya navigasyon cihazları ve servisleri giderek yaygınlaşmaktadır. Gerçek Zamanlı Trafik Bilgisi’nin trafikteki sürücülere ve yolculara sunulması ile hem sürücüler hem de yolcular ulaşmak istedikleri noktalara yaklaşık ne kadar sürede varacaklarını öğreneceklerdir. Böylece, sürücüler ne zaman yola çıkmaları ve hangi yolu kullanmaları...
Engineering design has great importance in the cost and safety of engineering structures. Rock mass rating (RMR) system has
become a reliable and widespread pre-design system for its ease of use and variety in engineering applications such as tunnels,
foundations, and slopes. In RMR system, six parameters are employed in classifying a rock mass: un...
Artificial neural network (ANN) technique has emerged as a powerful tool which can be used for many scientific and/or engineering applications such as process control and system modelling. ANNs are inspired by the nervous biological architecture systems consisting of relatively simple systems working in parallel to facilitate quick decisions. In th...
In this study, dielectric properties of polyesters which have abundant use in communication cables and power systems are aimed to be determined by means of adaptive neuro-fuzzy inference system (ANFIS). Measuring the dielectric properties of insulators under various fields of application and operating conditions requires advanced equipments and tak...
This paper presents Genetic Algorithms and Simulated Annealing (GASA) based on feature extraction of speech signal and comparison
with traditional Linear Predictive Coding (LPC) methods. The performance of each method is analyzed for ten speakers with
independent text speaker verification database from Center for Spoken Language Understanding (CSLU...
In this study, Gaussian white noise and color noise of speech signal are reduced by using adaptive filter and soft computing
algorithms. Since the main target is noise reduction of speech signal in a car, ambient noise recorded in a BMW750i is used
as color noise in the applications. Signal Noise Ratios (SNR) are selected as +5, 0 and -5 dB for wh...
In this paper, determination of dielectric properties of polyester films, widely used in power system and communication cables as an insulating material, using Artificial Neural Network (ANNs) is proposed. Measurements of dielectric properties of insulating materials under various areas and operating conditions require advanced instruments and a lo...
In this study, self organizing map (SOM) and associative memory model (AMM) artificial neural networks (ANN) are used as hybrid classifier for several speaker recognition experiments. These include text dependent closed-set speaker identification and speaker verification of Turkish speaker set and text independent closed-set speaker identification...
This paper studies the parametrization of speech using linear
predictive (LP) analysis and its application to speaker identification.
The task of speaker classification is realized using multilayer
perceptron. The system is evaluated on speaker set for speaker
identification. The system is also tested with cepstral and reflection
coefficients, and...
Inflow data for longer length at a reservoir site is necessary for proper planning and operation of the reservoir. However
presently for most of the reservoirs, the measured length of inflow data is insufficient for use in planning and operation.
Artificial neural networks (ANNs) have been applied within the field of hydrological modeling for over...
This study presents a computer simulation program which was named POWCABGUI used to teach of underground power cables for graduate students who need to integrate modern teaching approaches with today's technology in order to reach and motivate. The graduate lecture includes different and complex analytic procedures based on the IEC 60287 standard....
