A Novel, Nelder-Mead Optimization Approach, based on Neuro-regression modeling for the Energy Efficiency Parameters of End Milling Process

ŞEYDA İŞBİLİR

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

Optimization of Process Parameters for Green Composites in Abrasive Water Jet Machining Process Using Neuro-Regression Analysis

LEVENT AYDIN

Kaynakça var.

Besin Gruplarının Meme Kanseri Gelişme Riski Üzerine Etkileri Var Mıdır?

Meme kanseri kadınlarda en sık görülen kanser türüdür. Genetik, davranışsal ve çevresel faktörler meme kanseri etiyolojisinde yer almaktadır. Bu derlemede çevresel ve davranışsal bir faktör olan beslenme kapsamında süt ve süt ürünleri; et ve et ürünleri; sebze ve meyve; tahıl, yağ tüketimi ile meme kanseri riski arasındaki ilişkinin incelenmesi amaçlanmıştır. Süt ve süt ürünlerinin bileşiminde bulunan kalsiyum ve D vitamini meme kanseri riskinde koruyucu role sahip olabilir. Ancak kırmızı ve işlenmiş etlerde genellikle pişirme sırasında oluşan bileşikler meme kanseri riskini artırabilir. Sebze ...Daha fazlası

Ayak ve Ayak Bileği Patolojilerinin ve Aksesuar Kemiklerinin Manyetik Rezonans Görüntüleme ile Değerlendirilmesi

Amaç: Ayaktaki patolojilerin ve aksesuar kemiklerin ayak ve ayak bileği manyetik rezonans (MR) ile incelenmesi ve sonuçlarının belirlenmesidir. Gereç ve Yöntem: 1 Ocak 2015 ile 31 Aralık 2015 tarihleri arasında Fiziksel Tıp ve Rehabilitasyon ile Ortopedi polikliniğine başvuran, ayak ve ayak bileği MR uygulanan 18 yaş üstü olgular retrospektif olarak değerlendirildi. 462 olgu, 255 kadın ve 207 erkek çalışmaya dahil edildi. Ayak patolojileri ve aksesuar kemikler MR resmi okuma raporlarından değerlendirildi. Bulgular: Çalışmaya toplam 462 olgu dahil edildi. Ayak patolojilerinin %49,1 sağ tarafta ...Daha fazlası

A Flower Status Tracker and Self Irrigation System (FloTIS)

Rumeysa KESKİN | Furkan GÜNEY | M. Erdal ÖZBEK

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

Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models

İsmail AKDAĞ

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

1882-1922 Yılları Arasında Gönen Kazası

TURAN GÖKÇE | CAHİT TELCİ

Kaynakça var.

A Face Authentication System Using Landmark Detection

Velican ERCAN | M. Erdal ÖZBEK

Biometric data is the key for many security applications. Authentication relies on the individual’s measurable biometric properties collected as features. In this study, a face authentication system is built to be used in opening the entrance door accessing to the apartments and housing estates. The proposed system consists of three stages. In the first stage, landmarks on the face are captured using a deep neural network. Then six selected features from the landmarks are extracted and traditional machine learning algorithms are used to authenticate users. In the last stage, a user interface i ...Daha fazlası

Fabric Defect Classification Using Combination of Deep Learning and Machine Learning

Fatma Günseli YAŞAR ÇIKLAÇANDIR

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