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Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…

To follow the class attendance of the students is a challenging and time consuming process in terms of lecturer. Followup of class attendance at universities is done by circulating the attendance sheet in class. The number and signature of each student is got.…

Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…

In this study, a classification problem is discussed to predict whether individuals' annual income levels are above $50,000. The UCI Adult Income Dataset, which is derived from the 1994 US Census (Census) data and is widely used in the field of machine learnin…

For many years, biggest problem in the preparation of landslide susceptibility maps has been experienced in the selection of parameters. Each parameter gives different results in different fields. Some of these parameters can be generally evaluated while other…

In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …

Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…

Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…

For many years, the biggest problem in the preparation of landslide susceptibility maps has been experienced in the selection of parameters. Each parameter gives different results in different fields. Some of these parameters can be generally evaluated while o…

For many years, the biggest problem in the preparation of landslide susceptibility maps has been experienced in the selection of parameters. Each parameter gives different results in different fields. Some of these parameters can be generally evaluated while o…

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…

Plants encounter a variety of environmental stress factors that affect plant growth, fruit yield and quality. Stress factors cause physiological dysfunctions, ion imbalance, depression in photosynthesis, leading to growth reduction and decrease in fruit qual…

Many well-known material structures, such as metals, ceramics or polymers, cannot meet all the technological demands. For this reason, there is ongoing research into new materials with advanced features. A composite material is consisting of at least two phase…

In today’s world with ever-aggravating environmental problems, environmental training has a great significance in mitigating and coping with such problems. Environmental pollution is the greatest problem today and certain measures and steps should urgently be …

Until the last four decades, number of teachers have been insufficient in public schools of Turkey. Nowadays, there is still an overall imbalance between supply and demand for teachers, because teacher supply is in surplus. It is associated with engaging short…

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

Tekirdağ Province is located in the Thrace part of Marmara Region and the region can be declared as an agriculture and industry city. Karaidemir Dam Lake, which is being used for agricultural irrigation and drinking water supply and flood protection, is loca…

In this study water samples were collected from 30 villages located in the Ergene River Basin in summer season of 2018. Nitrate (NO3) and nitrite (NO2) concentrations of water samples were determined and the results were assessed according to national and in…