Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü Koleksiyonu
Toplam kayıt 271, listelenen: 1-20
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Moodle: Practical advices for university teachers
(SPRINGER, 2018)Moodle is a widely used Learning Management System, with a market share of 20% in the US/Canada and 65% in Europe. However, it is our experience that the system is too often used just as a website or repository for classical ... -
Learning management systems on blended learning courses: An experience-based observation
(SPRINGER, 2018)This paper gives an overview of Learning Management System (LMS) features based on observations on a blended learning course under the Erasmus+ project COLIBRI. We explain the main features of LMSes under two main categories: ... -
Evaluation of hybrid classification approaches: Case studies on credit datasets
(SPRINGER, 2018)Hybrid classification approaches on credit domain are widely used to obtain valuable information about customer behaviours. Single classification algorithms such as neural networks, support vector machines and regression ... -
International student projects in a blended setting: How to facilitate problem based project work
(University of Minho, 2018)his paper describes our experiences with facilitating international student projects during three years of the Erasmus+ Strategic Partnership COLIBRI (Collaboration and Innovation for Better, Personalized and IT-Supported ... -
Realizing the wireless technology in internet of things (IoT)
(Springer Singapore, 2018)The evolution of the Internet of Things (IoT) has been highly based on the advances on wireless communications and sensing capabilities of smart devices, along with a, still increasing, number of applications that are being ... -
A Novel Feature Design and Stacking Approach for Non-Technical Electricity Loss Detection
(Institute of Electrical and Electronics Engineers Inc., 2018)Non-technical electricity losses continue to jeopardize economic and social well-being of many countries. In this work, we develop machine learning classifiers that can identify anomalous electricity consumption in Turkey. ... -
Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications
(ELSEVIER, 2019)The smart grid is an emerging concept that introduces innovative ways to handle the power quality and reliability issues for both service provider and consumers. The key aims of the smart grid (SG) in smart cities (SCs) ... -
Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey
(John Wiley and Sons Ltd, 2019)ThevisiontoconnecteverydayphysicalobjectstotheInternetpromisestocreate the Internet of Things (IoT), which is expected to integrate the diverse technologies such as sensors, actuators, radio frequency identification, ... -
On Comparative Classification of Relevant Covid-19 Tweets
(Institute of Electrical and Electronics Engineers Inc., 2021)Due to the impressive information dissemination power of social networks such as Twitter, people tend to check social networks and Web pages more than other traditional news sources, including newspapers, TV news programs, ... -
Security and Privacy Challenges, Solutions, and Open Issues in Smart Metering: A Review
(Institute of Electrical and Electronics Engineers Inc., 2021)The traditional power grid becomes ‘smart’ when it is combined with the communication and information technology. Along with smart grid, the traditional meter is replaced with smart meter. Smart meters play an important ... -
A Comparative Analysis on Medical Article Classification Using Text Mining & Machine Learning Algorithms
(Institute of Electrical and Electronics Engineers Inc., 2021)The document classification task is one of the widely studied research fields on multiple domains. The core motivation of the classification task is that the manual classification efforts are impractical due to the ... -
MSABrowser: dynamic and fast visualization of sequence alignments, variations and annotations
(Oxford University Press, 2021)Sequence alignment is an excellent way to visualize the similarities and differences between DNA, RNA or protein sequences, yet it is currently difficult to jointly view sequence alignment data with genetic variations, ... -
Performance Evaluation of TLS 1.3 Handshake on Resource-Constrained Devices Using NIST's Third Round Post-Quantum Key Encapsulation Mechanisms and Digital Signatures
(Institute of Electrical and Electronics Engineers Inc., 2022)Towards the end of the 20. century, quantum computing came into sight by the main effect of Shor's Algorithm. While this algorithm offers a solution for the factorization problem, which makes it exponentially faster, it ... -
Linear vs. Non-Linear Embedding Methods in Recommendation Systems
(Institute of Electrical and Electronics Engineers Inc., 2022)Predicting customer interest in items is very crucial in direct marketing as it can potentially boost sales. Data mining techniques are developed to predict which items a particular user might be interested in based on ... -
Identifying Taxonomic Biomarkers of Colorectal Cancer in Human Intestinal Microbiota Using Multiple Feature Selection Methods
(Institute of Electrical and Electronics Engineers Inc., 2022)A variety of bacterial species called gut microbiota work together to maintain a steady intestinal environment. The gastrointestinal tract contains tremendous amount of different species including archaea, bacteria, fungi, ... -
The relationship between TSH levels, maternal characteristics and racial group of the aneuploidy screening
(Institute of Electrical and Electronics Engineers Inc., 2022)First-trimester maternal screening is a widely used test for detecting fetal aneuploidies and neural tube defects for over two decades. Human chorionic gonadotropin hormone (beta-hCG) and pregnancy-associated plasma protein ... -
A comparative study on psychiatric disorders: Identification of shared pathways and common agents
(Institute of Electrical and Electronics Engineers Inc., 2022)Distinct but closely related diseases generally present shared symptoms, which address possible overlaps among their pathogenic mechanisms. Identification of significantly impacted shared pathways and other common agents ... -
Traffic Light Management Systems Using Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2022)While reducing traffic congestion and decrease the number of traffic accidents in the intersections, most of the traffic light management approaches cannot adapt well to fast changing traffic dynamics and growing demands ... -
Generating Emergency Evacuation Route Directions Based on Crowd Simulations with Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2022)In an emergency, it is vital to evacuate individuals from the dangerous environments. Emergency evacuation planning ensures that the evacuation is safe and optimal in terms of evacuation time for all of the people in ... -
Traffic aware cyclic sleep-based power consumption model for a passive optical network
(John Wiley and Sons Ltd, 2022)For a network, a power consumption model is an important tool to test the performance of a network process for different traffic loads. In a Passive optical network (PON), the optical network unit (ONU) is responsible for ...