Ara
Toplam kayıt 39, listelenen: 21-30
Multihop routing with static and distributed clustering in WSNs
(Springer, 2021)
Nowadays, Wireless Sensor Networks are one of the fundamental infrastructures for IoT technology. Although WSN has been researched for a decade, providing energy efficiency for resource-constrained sensor nodes is still a ...
Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
(Institute of Electrical and Electronics Engineers Inc., 2021)
Surrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, ...
MALE UAV selection in interval Type-2 fuzzy sets environment
(IOS Press BV, 2022)
Unmanned Aerial Vehicles (UAVs) are increasingly used in the military field. Especially in recent years, UAVs have been a very effective instrument in gaining airspace superiority and military success. Many countries compete ...
Prediction of Li-Ion Battery Discharge Patterns in IoT Devices Under Random Use Via Machine Learning Algorithms
(Oxford University Press, 2022)
This study presents foreseeing of the Lithium-ion battery discharge models for the Internet of Things (IoT) devices under randomized use patterns. IoT systems run in harmony with the human-machine interface, communication ...
Radiation pattern reconfigurable cubical antenna array for 2.45 GHz wireless communication applications
(Springer, 2022)
In this paper a single-fed four-faced multidirectional compact antenna is introduced for 2.45 GHz indoor wireless applications. Firstly, a slotted patch antenna is designed to operate at 2.45 GHz and its equivalent circuit ...
A novel fractional operator application for neural networks using proportional Caputo derivative
(Springer, 2022)
In machine learning models, one of the most popular models is artificial neural networks. The activation function is one of the important parameters of neural networks. In this paper, the sigmoid function is used as an ...
An Investigation of The Effect of Block-Based Programming and Unplugged Coding Activities on Fifth Graders’ Computational Thinking Skills, Self-Efficacy and Academic Performance
(Anadolu University, Faculty of Communication Sciences, 2022)
This paper investigated the effect of block-based programming and unplugged coding teaching activities on fifth graders’ computational thinking skills, self-efficacy, and academic performance. The teaching activities were ...
Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach
(Springer, 2022)
The coronavirus disease (COVID-19) is an important public health problem that has spread rapidly around the world and has caused the death of millions of people. Therefore, studies to determine the factors affecting the ...
SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins
(Oxford University Press, 2022)
Accurate prediction of the subcellular locations (SLs) of proteins is a critical topic in protein science. In this study, we present SLPred, an ensemble-based multi-view and multi-label protein subcellular localization ...
Chronic obstructive pulmonary disease severity analysis using deep learning on multi-channel lung sounds
(Türkiye Klinikleri, 2020)
Chronic obstructive pulmonary disease (COPD) is one of the deadliest diseases which cannot be treated but can be kept under control in certain stages. COPD has five severities, including at-risk, mild, moderate, severe, ...