This study examines the failure mechanisms of a three-phase AC induction electric motor with a closed body design, intended to provide IP protection, due to insufficient cooling under high-temperature conditions. Overheating at elevated temperatures adversely …
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68 results for “Cyclic Alternating Pattern”
Robot algorithms require faster and more efficient computing due to increasing integration of robot arms to automation systems and expanding capabilities of robotic systems. Inverse kinematics calculations used in trajectory generation is one of these algorith…
Bu çalışmada birer adet ikili Al-9Si, üçlü Al-9Si-0,1Sr ve dörtlü Al-9Si-0,1Sr-0,6Mg alaşımı indüksiyonlu ergitme ocağında ergitme ve oda sıcaklığında tutulan kokil kalıba döküm yöntemi ile üretildi. Alaşımların yapısal ve mekanik özellikleri üretilen alaşım k…
The COVID-19 pandemic has necessitated the development of rapid, accurate, and automated diagnostic tools to assist healthcare professionals in patient screening and management. This comprehensive study presents a detailed comparative analysis of ten state-of-…
This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…
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…
Yapay sinir ağları makine öğrenmesi alanında birçok problemin çözümünde sıklıkla kullanılmaktaydı. Fakat “Yapay Zeka Kışı” olarak da adlandırılan dönemde ilk olarak donanımsal kısıtlamalar ve diğer problemler sebebiyle bu alandaki çalışmalar durma noktasına ge…
Micro electro mechanical systems (MEMS) technology enables us to create any pattern with any dimension. There are many surface patterning techniques which help us transfer the desired pattern from mask to the wafer surface. Predefined patterns on the wafer sur…
In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…
Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …
Pseudomonas (P.) aeruginosa is Gram-negative an opportunistic human pathogen associated with nosocomial infections particularly immuno-compromised patients such as cystic fibrosis, cancer, and diabetes. This organism can also develop high-level intrinsic and a…
One of the fastest 3D data acquisition methods is LiDAR scanning technology. By using LiDAR scanners, 3D point clouds of the scanned seen is obtained easily. Although the scanning phase is fast, the meaningful and effective 3D visualization of the scene requir…
3D object classification has been widely studied in robotic community in recent years. According to types of features that are utilized to describe an object, 3D object classification studies can be separated into two main categories (local and global).The loc…
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…
Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…
Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an object recogni…
Additive manufacturing which is developed in the last half century is promising manufacturing technology. It uses layer-wise production method for obtaining finished product. In recent years, thousand researches were made but there was still gaps about impac…
In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes on differen…
In this study, it is aimed to design C pattern array microstrip antenna for C Band (4 to 8 GHz), X Band (8 to 12 GHz) and Ku Band (12 GHz to 18 GHz). The proposed geometry was fed by coaxial probe. Optimum antenna was designed with Artificial Neural Network …
In today’s developing world, capital needs, which are essential to fulfill an enterprise, still pose a problem despite the subsidies and special funds. The aim of this study is to analyze to what extent the subsidies of SMIDO in Tokat province, which is situa…