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Bulunan: 7 Adet 0.023 sn
İlgili Araştırmacılar [5]
Tam Metin [1]
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wosquality [2]
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Doçent Metin ZontulMühendislik Fakültesi/Bilgisayar Mühendisliği Bölümü/Bilgisayar Mühendisliği Pr. /
Erişime Açık

Software Quality Measurement Modelling Using AHP and Promethee Methods

Metin Zontul

As competition in tlie industries relying on software increases, software product quality has become a prominent factor in the competition since quality issues within software-applications have a drastic effect on the organizations' reputation, and their customers experience. It has become more important to define and follow software quality metrics in order to determine the current situation in terms of quality of the developed software applications and to ensure continuous improvement. Within the scope of this paper, software products belonging to a technology company were ranked in terms of ...Daha fazlası

Süresiz Ambargo

Automated evaluation of Cr-III coated parts using Mask RCNN and ML methodse

Metin Zontul

In this study, chrome coatings were carried out using a Cr-III electroplating bath. The coated parts were classified depending on their appearance. A new approach was developed to classify the coated parts automatically using artificial intelligence methods. Mask RCNN and machine learning (ML) methods such as Multilayer Perceptron (MLP), Support Vector Classifier (SVC), Gaussian Process (GP), K-nearest Neighbors (KNN), XGBoost, and Random Forest Classifier (RFC) were used together. Mask RCNN was used to clean the coated parts from the redundant data. The extracted data were flattened and conve ...Daha fazlası

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A Smart and Mechanized Agricultural Application: From Cultivation to Harvest

Metin Zontul

Food needs are increasing day by day, and traditional agricultural methods are not responding efficiently. Moreover, considering other important global challenges such as energy sufficiency and migration crises, the need for sustainable agriculture has become essential. For this, an integrated smart and mechanism-application-based model is proposed in this study. This model consists of three stages. In the first phase (cultivation), the proposed model tried to plant crops in the most optimized way by using an automized algorithmic approach (Sand Cat Swarm Optimization algorithm). In the second ...Daha fazlası

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A local-holistic graph-based descriptor for facial recognition

Metin Zontul

Face recognition remains critical and up-to-date due to its undeniable contribution to security. Many descriptors, the most vital figures used for face discrimination, have been proposed and continue to be done. This article presents a novel and highly discriminative identifier that can maintain high recognition performance, even under high noise, varying illumination, and expression exposure. By evolving the image into a graph, the feature set is extracted from the resulting graph rather than making inferences directly on the image pixels as done conventionally. The adjacency matrix is create ...Daha fazlası

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Web Service-Based Two-Dimensional Vehicle Pallet Loading with Routing for a Real-World Problem

Metin Zontul

Since increasing oil prices and vehicle costs increase transportation costs in order delivery systems, the optimal vehicle loading and routing is very crucial for the companies in competitive conditions. Although there are many studies related to optimal vehicle loading and routing by using linear programming and heuristic algorithms, there is not enough practical web service-based application in the literature. In this study, we propose a hybrid model to solve the problem of two-dimensional vehicle pallet loading with routing for a real-world data by combining Knapsack Problem solver algorith ...Daha fazlası

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2D Vector Representation of Binomial Hierarchical Tree Items

Metin Zontul | Seda Karateke

Today Artificial Intelligence (AI) algorithms need to represent different kinds of input items in numeric or vector format. Some input data can easily be transformed to numeric or vector format but the structure of some special data prevents direct and easy transformation. For instance, we can represent air condition using humidity, pressure, and temperature values with a vector that has three features and we can understand the similarity of two different air measurements using cosine-similarity of two vectors. But if we are dealing with a general ontology tree, which has elements "entity"as t ...Daha fazlası

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Multi-Class Document Classification Based on Deep Neural Network and Word2Vec

Metin Zontul

With the increase in unstructured data, the importance of classification of text-based documents has increased. In particular, the classification of news texts and digital documentation provides easy access to the information sought. In this study, a large amount of news textual data was used. After the data set was preprocessed, Bag of Words (BoW), TF-IDF, Word2Vec and Doc2Vec word embedding methods were applied. In the classification phase, Random Forest (RF), Multilayer Perceptron (MLP), Support Vector Machine (SVM) and Deep Neural Network (DNN) algorithms were applied. As a result of the e ...Daha fazlası

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