Yazar "AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" için Scopus İndeksli Yayınlar Koleksiyonu listeleme
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A Model Selection Algorithm For Mixture Model Clustering Of Heterogeneous Multivariate Data
Erol, Hamza (IEEE, 2013)A model selection algorithm is developed for finding the best model among a set of mixture of normal densities fitted to heterogeneous multivariate data. Model selection algorithm proposed first finds total number of mixture ... -
Modified self-adaptive local search algorithm for a biobjective permutation flow shop scheduling problem
Alabas Uslu, Cigdem; Dengiz, Berna; Aglan, Canan; Sabuncuoglu, Ihsan (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, ATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA, 00000, TURKEY, 2019)Interest in multiobjective permutation flow shop scheduling (PFSS) has increased in the last decade to ensure effective resource utilization. This study presents a modified self-adaptive local search (MSALS) algorithm for ... -
MOL-Eye: A New Metric for the Performance Evaluation of a Molecular Signal
Turan, Meric; Kuran, Mehmet Sukru; Yilmaz, H. Birkan; Chae, Chan-Byoung; Tugcu, Tuna (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Inspired by the eye diagram in classical radio frequency (RF) based communications, the MOL-Eye diagram is proposed for the performance evaluation of a molecular signal within the context of molecular communication. Utilizing ... -
Moodle: Practical advices for university teachers
Pedersen, Jens Myrup; Kuran, Mehmet Şükrü (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 ... -
MQRP: Mobile sinks-based QoS-aware data gathering protocol for wireless sensor networks-based smart grid applications in the context of industry 4.0-based on internet of things
Faheem, Muhammad; Gungor, V. C. (ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2018)The recent advances in internet of things (IoT) and industrial wireless sensor networks (IWSNs) paradigm provide a promising opportunity for upgrading todays elderly electricity industrial systems and even allow the fourth ... -
MSABrowser: dynamic and fast visualization of sequence alignments, variations and annotations
Torun, Furkan M.; Bilgin, Halil İbrahim; Kaplan, Oktay I. (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, ... -
Multi fragment melting analysis system (MFMAS) for one-step identification of lactobacilli
Kesmen, Zulal; Kilic, Ozge; Gormez, Yasin; Celik, Mete; Bakir-Gungor, Burcu (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)The accurate identification of lactobacilli is essential for the effective management of industrial practices associated with lactobacilli strains, such as the production of fermented foods or probiotic supplements. For ... -
Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications
Kose, Abdulkadir; Lee, Haeyoung; Foh, Chuan Heng; Shojafar, Mohammad (IEEE, 2024)Millimeter wave (mmWave) has been recognized as one of key technologies for 5G and beyond networks due to its potential to enhance channel bandwidth and network capacity. The use of mmWave for various applications including ... -
A multi-channel distributed routing scheme for smart grid real-time critical event monitoring applications in the perspective of Industry 4.0
Faheem, Muhammad; Butt, Rizwan Aslam; Raza, Basit; Ashraf, Muhammad Waqar; Ngadi, Md A.); Gungor, Vehbi Cagri (INDERSCIENCE ENTERPRISES LTD, WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND, 2019)Recently, the 4th industrial revolution known as Industry 4.0 has paved way for a systematical deployment of the modernised power grid to fulfil the continuously growing energy demand of the 21st century. This paper proposes ... -
Multi-focus image fusion by using swarm and physics based metaheuristic algorithms: a comparative study with archimedes, atomic orbital search, equilibrium, particle swarm, artificial bee colony and jellyfish search optimizers
Çakıroğlu, Fatma; Kurban, Rifat; Durmuş, Ali; Karaköse, Ercan (SPRINGER, 2023)The lenses focus only on the objects at a specific distance when an image is captured, the objects at other distances look blurred. This is referred to as the limited depth of field problem, and several attempts exist to ... -
A multiobjective, lion mating optimization inspired routing protocol for wireless body area sensor network based healthcare applications
Faheem, Muhammad; Aslam Butt, Rizwan; Raza, B.; Alquhayz, Hani; Abbas, Muhammad Zahid; Ngadi, M. A.; Güngör, Vehbi Çağrı (MDPI AG, 2019)The importance of body area sensor networks (BASNs) is increasing day by day because of their increasing use in Internet of things (IoT)-enabled healthcare application services. They help humans in improving their quality ... -
Networking and communications for smart cities special issue editorial
Theoleyre, Fabrice; Watteyne, Thomas; Bianchi, Giuseppe; Tuna, Gurkan; Gungor, Vehbi Cagri; Pang, Ai-Chun (ELSEVIER, 2015)Our society is facing an unprecedented massive urbanization. At the time of writing, 54% of the world’s population lives in urban areas (with an 82% peak in North America), opposed to only 30% in 1950. Reports [1] predict ... -
A new efficient error control algorithm for wireless sensor networks in smart grid
Yigit, Melike; Boluk, Pinar Sarisaray; Gungor, V. Cagri (ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2019)Error detection and correction is an important issue in the design and maintenance of a smart grid communication network to provide reliable communication between sender and receiver. Various error-control coding techniques ... -
A New Method to Identify Affected Pathway Subnetworks and Clusters in Colon Cancer
Goy, Gokhan; Yazici, Miray Unlu; Bakir-Gungor, Buren (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 11.09.2019)Nowadays new technological developments that play an important role in the production of big data have brought about the interpretation, sharing and storage of data related to complex diseases. Combining multi-omic data ... -
A new per-field classification method using mixture discriminant analysis
Calis, Nazif; Erol, Hamza (TAYLOR & FRANCIS LTD, 2012)In this study, a new per-field classification method is proposed for supervised classification of remotelysensed multispectral image data of an agricultural area using Gaussian mixture discriminant analysis(MDA). ... -
A New Semi-supervised Classification Method Based on Mixture Model Clustering for Classification of Multispectral Data
Gogebakan, Maruf; Erol, Hamza (SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA, 2018)A new method for semi-supervised classification of remotely-sensed multispectral image data is developed in this study. It consists of unsupervised-clustering for data labelling and supervised-classification of clusters ... -
Next Generation Networks for Telecommunications Operators Providing Services to Transnational Smart Grid Operators
Tuna, Gurkan; Kiokes, George C.; Zountouridou, Erietta I.; Gungor, Vehbi Cagri (IEEE, 2015)Due to the networking expertise, services and technical support of telecommunications operators, Smart Grid (SG) operators prefer telecommunications operators for their communications needs instead of creating private ... -
Node similarity-based graph convolution for link prediction in biological networks
Coskun, Mustafa; Koyuturk, Mehmet (OXFORD UNIV PRESSGREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, 2021)Background: Link prediction is an important and well-studied problem in network biology. Recently, graph representation learning methods, including Graph Convolutional Network (GCN)-based node embedding have drawn increasing ... -
A noise-aware feature selection approach for classification
Sabzekar, Mostafa (SPRINGERONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES, 2021)A noise-aware version of support vector machines is utilized for feature selection in this paper. Combining this method and sequential backward search (SBS), a new algorithm for removing irrelevant features is proposed. ... -
A novel data collection mechanism for smart grids using public transportation buses
Bilgin, B. E.; Baktir, S.; Gungor, V. C. (ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2016)In this study, we propose a novel solution for collecting smart meter data by merging Vehicular Ad-Hoc Networks (VANET) and smart grid communication technologies. In our proposed mechanism, Vehicular Ad Hoc Networks are ...