Ara
Toplam kayıt 398, listelenen: 311-320
Application of a numerical model for wave parameter hindcasting in the Marmara Sea Basin
(Balıkesir Üniversitesi, 2020)
One of the most important factors in design of coastal and marine structures is to
determine the wave characteristics precisely. In this paper, wave characteristics of Sea
of Marmara obtained during the time span between ...
Network Forensics of RPL-Based Attacks
(Düzce Üniversitesi Fen Bilimleri Enstitüsü, 2020)
IoT devices, which are increasing in highly manner day by day, are now in everywhere in our life. WSNs are used
together with IoT devices to monitor real environments. In this study, attacks against WSNs were carried out. ...
Common Generative Adversarial Network Types and Practical Applications
(Osman Sağdıç, 2020)
Generative Adversarial Networks (GAN) which are analyzed in this study are among many deep learning methods which have been
developed to overcome the restrictions of generic deep learning algorithms such as Restricted ...
Static Analysis of FG Beams via Complementary Functions Method
(Ahmet Çalık, 2020)
The bending response of Functionally Graded (FG) beams is carried out by the Complementary Functions
Method (CFM). The mechanical properties of the material, Young’s modulus, of the straight beams are
considered to be ...
Measuring the relationship between spatial configuration, diversity and user behavior: A Post Occupancy Evaluation study in Istanbul’s peripheral districts
(Mehmet Topçu, 2020)
Post Occupancy Evaluation (POE) is a robust tool to systematically evaluate the effects
of design decisions on spatial performance and to identify the relationship between
the space and its users. Although there is a ...
Non-Intrusive Room Occupancy Prediction Performance Analysis Using Different Machine Learning Techniques
(MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2022)
Recent advancements in the Internet of Things and Machine Learning techniques have
allowed the deployment of sensors on a large scale to monitor the environment and model and
predict individual thermal comfort. The ...
Machine Learning to Develop Credit Card Customer Churn Prediction
(MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2022)
The credit card customer churn rate is the percentage of a bank’s customers that stop using
that bank’s services. Hence, developing a prediction model to predict the expected status for the
customers will generate an ...
A numerical investigation of the particle behaviors and entropy generation in mixed convection inside a vented enclosure
(ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER, 65 RUE CAMILLE DESMOULINS, CS50083, 92442 ISSY-LES-MOULINEAUX, FRANCE, 2023)
The present study is to focus on the numerical investigation of the transportation, deposition and removal of solid particles in the range of 5 mu m to 0.01 mu m for mixed convection flow in the vented square cavity by ...
A hybrid multi-criteria decision making approach for strategic retail location investment: Application to Turkish food retailing
(ELSEVIER SCIENCE INC, STE 800, 230 PARK AVE, NEW YORK, NY 10169, 2019)
Retail location selection decision is a critical and complex process which requires the evaluation and aggregation
of multiple criteria and also the usage of appropriate data related to them. This study handles the problem ...
A Wideband Square Spiral Antenna for Multiple Airborne Applications
(Fatma Kutlu Gündoğdu, 2019)
In this article, we designed a wideband square spiral antenna with an
impedance matching part that operated between 1500 – 5500 MHz (covering
L, S, and C bands) for airborne uses such as Aeronautical Mobile Satellite
Service, ...