Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …
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282 results for “Machine Learning Models”
Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …
It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…
Müzeler kültürel veya tarihi değeri bulunan eserlerin yanı sıra bilim ve sanat eserlerinin de toparlanıp, korunduğu ve sergilendiği yapılardır. Müzelerin varoluş amaçları arasında topluma zevk, bilgi, bilinç aşılamak, farkındalık yaratmak, duyarlılık sağlama…
Sanayi 4.0 değer zincirine makinelerin ve mikrobilgisayar ağlarının bağlanmasını, sensörler ve gömülü akıllı makinelerle üretim için Siber Fiziksel Sistemlerin uygulanmasını, akıllı üretim kavramı olarak tanımlanır. Bu kavram ayrıca dijital ürünlerin gelişti…
This paper describes innovative and novel trends on engineering education. Among these trends internet-based engineering laboratory with virtual and physical experiments, smart classes, 3G/4G technologies, and e-learning and m-learning facilities can be expres…
The dual-diploma programs between the State University of New York (SUNY) and Turkish Universities is an example of collaborative international education or dual diploma education between two institutions in two different countries as a new approach of bi-cult…
Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…
The U-shaped assembly line balancing (UALB) problem has been extensively investigated in the existing academic literature. However, only a limited number of studies consider the uncertainty in the assembly lines. In this research, a robust formulation is devel…
Sediment can be composed of all road elements. On soil roads, road surface erosion is generally the predominant source of sediment. The multifaceted impact of forest road construction on the environment is always a serious issue in terms of watershed managemen…
Data Envelopment Analysis (DEA) is a non-parametric mathematical programming that uses multi inputs to produce multi outputs. It is investigated whether the decision making unit is effective or not. However, it has been debated for years that the results obtai…
This paper presents the theoretical aspect of the creep behavior in materials, particularly in metallic materials. Different creep mechanisms were displayed. The main models developed to determine or extrapolate the rupture time of materials were presented. So…
Canlılar koşma, yürüme ve emekleme gibi temel hareketlerini gerçekleştirmek için Merkezi Desen Üreteçleri olarak isimlendirilen ritmik desenler üreten sinir hücreleri topluluğuna sahiptir. Merkezi Desen Üreteçleri, canlıların bu temel hareketlerine ek olarak…
In addition to developing information technologies, medical decision support systems are used to make decisions more effective, faster, more accurate and easier to make decisions in medicine and healthcare. With data mining, which is an important part of med…
Interest in Data Envelopment Analysis (DEA) has grown in recent years. This is not surprising since DEA can be used to explore efficiency in organizations whose outputs and inputs cannot be reduce to monetary terms. In a relatively short period of time Data En…
Multiple imputation (MI) is increasingly being used as a sophisticated tool to handle missing data in the recent years. The standard MI techniques use Bayesian sampling methods for making posterior draws for the imputations and analyse the imputed data sets un…
This article presents a comprehensive examination of the integration of Edge AI and metaheuristic algorithms, highlighting its vast potential and applications across diverse domains. The synergistic integration of these technologies promises faster, smarter, a…
In latest years, UAVs are widely used in many areas. Their advantages attracts researches all around the world. When UAVs are wanted to be used effectively, swarm systems offer better and more advantageous solutions. Using a UAV swarm has some advantages over …
Drone ya da İnsansız Hava Araçları (İHA), günümüzde birçok farklı sektör tarafından aktif şekilde kullanılmaktadır. Özellikle son yıllarda popülerlik kazanmayı başaran drone'lar; reklamcılıktan kargo taşımacılığına kadar çeşitli görevler üstlenebilmektedir. İH…
The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…