The purpose of this study is to investigate the topic of mathematical and spatial relationships, to clarify what linguistics has provided in this field, and to identify these relationships in the process of linguistic creation, and to determine the function of language, following this descriptive and analytical approach. It is noteworthy that these two terms are modern, but we do not mention the concept in the books of our ancient scholars; They talked about various techniques that may affect the formal and semantic enrichment of the patterns of linguistic formation, including: Deletion, Metap ...Daha fazlası
ABSTRACT
Objective: Dermatological diseases are public health problems. Several factors including subjective diagnosis, lack of enough dermatologists, inability to go to a dermatologist due to old age, psychological problems or pandemic like coronavirus enforce to use automated techniques in dermatology. In the literature, there are many techniques on automated lesion classification to provide accurate, objective, reliable and reproducible results for the diagnosis of several dermatological diseases. However, although the techniques are promising, they become useless without a user interface ...Daha fazlası
Amaç: Bu “çalışmanın amacı; hemşirelik öğrencilerinde sabır, farklılıkları kabul ve duyarlı sevgi düzeyi arasındaki ilişkiyi incelemek ve bu kavramlara ilişkin öğrencilerin görüşlerini belirlemektir. Gereç ve Yöntem: Bu çalışma, Türkiye’de bir üniversitenin hemşirelik bölümündeki 240 öğrenci ile karma yöntem kullanılarak yapılmıştır. Çalışmada veriler; Bilgi Formu, Sabır Ölçeği, Farklılıkları Kabul Ölçeği ve Duyarlı Sevgi Ölçeği kullanılarak toplanmış olup, bu kavramlara ilişkin öğrencilerin görüşlerini belirlemek için 12 öğrenci ile bireysel görüşme yapılmıştır. Bulgular: Duyarlı Sevgi Ölçeği ...Daha fazlası
Objective: Making the life stories of women diagnosed with schizophrenia and bipolar disorder visible with a feminist social work approach. Material and Methods: In this study, narrative research with qualitative research method was used. In-depth semi-structured interviews were conducted with 12 women who were selected according to the purposive sampling method. The data were analyzed using thematic content analysis method and the MAXQDA 20 program. Results: In the content analysis of the data, three life focus themes emerged when the life stories of women with schizophrenia and bipolar diagn ...Daha fazlası
Automatic systems can be used in many areas, such as the production stage in factories, country defense, and traffic control. They provide the opportunity to reach results faster with higher success rates thanks to human-computer vision cooperation. In this study, it is aimed to develop an intelligent system that automatically detects and classifies defects in fabrics. Thanks to the developed system, the cause of the malfunction is eliminated, and the recurrence of the malfunction is prevented. Using deep learning methods in fabric defect classification studies has a disadvantage compared to o ...Daha fazlası
This study proposes an appropriate optimization model for determining a new composite material's mechanical properties by neuro-regression analysis. This new composite material is obtained by combining hemp and polypropylene fibers. It was developed for the sector of upholstered furniture. First, different multiple regression models have been tried for input and output values. The R2 training, R2 testing, R2 validation, and minimum, maximum values were determined for each model. Then, the stochastic optimization approach is used to predict and optimize the mechanical properties of the new bioc ...Daha fazlası
2020 is the International Year of the Nurse and Midwife and the 200th anniversary of Florence Nightingale’s birth; a year meant for celebration, and a deeper look at the importance of the nursing role in the future of healthcare. Today, due to the COVID-19 pandemic, the role of the nurse and the urgent need for investment of this precious resource is at the forefront of many health policy makers’ agendas. As we entered 2020, many countries were already facing a nursing shortage. The World Health Organization’s first State of the World’s Nursing report, launched in April this year, reported a g ...Daha fazlası
The Internet of Things (IoT) provides solutions to many daily life problems. Smartphones with user-friendly applications make use of artificial intelligence solutions offered by deep learning techniques. In this work, we provide a sustainable solution to automatically monitor and control the irrigation process for detected flowers by combining deep learning and IoT techniques. The proposed flower status tracker and self-irrigation system (FloTIS) is implemented using a cloud-based server and an Android-based application to control the status of the flower which is being monitored by the local ...Daha fazlası
Abstract This study is prepared to examine the effects of Turkish character usage on text data by using multiple classifiers. Regression Classifiers, SVM, NB-Classifiers, and ANN are frequently used in supervised learning methods, especially in classification problems. Regression classifiers generally come in two types: as Linear and Logistic. There are also more than one type of Naive Bayes classifier. In our study, after mentioning the properties of Linear Regression and Logistic Regression classifiers in general terms, why Logistic Regression is much more suitable for this study is explaine ...Daha fazlası
Abstract In this study, machine learning-based models have been used to estimate the return loss parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The data set utilized, consisting of 544 instances, has been collected from the simulation software as a consequence of the parametric evaluation of the antenna design parameters. Distinct machine learning methods have been used on two different types of output data, complex and linear scattering parameters, and the models' prediction performance has been evaluated. In the single-output regression models, a mean-squ ...Daha fazlası
Wire electrical discharge machining (WEDM) of γ titanium aluminide is the subject of the current research. Due to the large number of process variables and sophisticated stochastic process mechanisms, selecting the best machining parameter combinations for increased cutting efficiency and accuracy is a difficult task in WEDM. In general, there is no perfect combination that can produce the fastest cutting speed and the finest surface finish quality at the same time. For this purpose, the data were selected from a literature study. This study describes an attempt to devise a suitable machining ...Daha fazlası
Global crises are increasing day by day due to the rapid depletion of energy supplies around the planet. One of the goals of engineering is to prevent this situation by developing innovative solutions to this rapid energy consumption that has disappeared in the world. A solution could be to reduce the energy consumption of the machines that are used during production. In this study, a new design technique based on the neuro-regression approach and non-linear regression modeling was offered as an alternative to Taguchi design to reduce energy consumption. Thus, a cutting parameter optimization ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.