Yazar "AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
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EXTRACTING PRNU NOISE FROM H.264 CODED VIDEOS
Altinisik, Enes; Tasdemir, Kasim; Sencar, Husrev Taha (IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA, 2018)Every device equipped with a digital camera has a unique identity. This phenomenon is essentially due to a systematic noise component of an imaging sensor, known as photo-response non-uniformity (PRNU) noise. An imaging ... -
Fast computation of Katz index for efficient processing of link prediction queries
Coskun, Mustafa; aggag, Abdelkader; Koyuturk, Mehmet (SPRINGERVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2021)Network proximity computations are among the most common operations in various data mining applications, including link prediction and collaborative filtering. A common measure of network proximity is Katz index, which has ... -
Feature Selection for Protein Dihedral Angle Prediction
Aydin, Zafer; Kaynar, Oguz; Gormez, Yasin (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Three-dimensional structure prediction has crucial importance for bioinformatics and theoretical chemistry. One of the main steps of three-dimensional structure prediction is dihedral (torsion) angle prediction. As new ... -
FFRP: Dynamic Firefly Mating Optimization Inspired Energy Efficient Routing Protocol for Internet of Underwater Wireless Sensor Networks
Faheem, Muhammad; Butt, Rizwan Aslam; Raza, Basit; Alquhayz, Hani; Ashraf, Muhammad Waqar; Raza, Saleem; Bin Ngadi, Md Asri (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2020)Energy-efficient and reliable data gathering using highly stable links in underwater wireless sensor networks (UWSNs) is challenging because of time and location-dependent communication characteristics of the acoustic ... -
A Framework for Web Application Integrity
Fortuna, Pedro; Pereira, Nuno; Butun, Ismail (Current Publisher, 2018)Due to their universal accessibility, interactivity and scaling ease, Web applications relying on client-side code execution are currently the most common form of delivering applications and it is likely that they ... -
Gaussian of Differences: A Simple and Efficient General Image Fusion Method
Kurban, Rifat (MDPI, 2023)The separate analysis of images obtained from a single source using different camera settings or spectral bands, whether from one or more than one sensor, is quite difficult. To solve this problem, a single image containing ... -
Generating Emergency Evacuation Route Directions Based on Crowd Simulations with Reinforcement Learning
Unal, Ahmet Emin; Gezer, Cengiz; Pak, Burcu Kuleli; Gungor, Vehbi Cagri (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 ... -
Guest Editorial Special Section on Industrial Wireless Sensor Networks
Hancke, Gerhard P., Jr.; Gungor, V. Cagri; Hancke, Gerhard P., Sr. (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2014)The eight papers in this special section focus on industrial wireless sensor networks. -
Handling incomplete data classification using imputed feature selected bagging (IFBag) method
Khan, Ahmad Jaffar; Raza, Basit; Shahid, Ahmad Raza; Kumar, Yogan Jaya; Faheem, Muhammad; Alquhayz, Hani (IOS PRESSNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS, 2021)Almost all real-world datasets contain missing values. Classification of data with missing values can adversely affect the performance of a classifier if not handled correctly. A common approach used for classification ... -
HealthFaaS: AI-Based Smart Healthcare System for Heart Patients Using Serverless Computing
Golec, Muhammed; Gill, Sukhpal Singh; Parlikad, Ajith Kumar; Uhlig, Steve (IEEE, 2023)Heart disease is one of the leading causes of death worldwide, and with early detection, mortality rates can be reduced. Well-known studies have shown that the latest artificial intelligence (AI) can be used to determine ... -
A high order proximity measure for linear network embedding
Coşkun, Mustafa (Niğde Ömer Halisdemir Üniversitesi, 2022)Graph representationion learning (network embedding) is at the heart of network analytics techniques to reveal and examine the complex dependencies among nodes. Owing its importance, many computational methods have ... -
History-themed games in history education: Experiences on a blended world history course
Kuran, Mehmet Sükrü; Tozoğlu, Ahmet Erden; Tavernari, Cinzia (IEEE/Institute of Electrical and Electronics Engineers Inc., 2018)In this paper we explain our experiences and observations on a blended world history course which combines classical lecture and discussion elements as well as video game sessions in which the students play strategy video ... -
HomSI: a homozygous stretch identifier from next-generation sequencing data
Gormez, Zeliha; Bakir-Gungor, Burcu; Sagiroglu, Mahmut Samil (OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, 2014)In consanguineous families, as a result of inheriting the same genomic segments through both parents, the individuals have stretches of their genomes that are homozygous. This situation leads to the prevalence of recessive ... -
Human identification using palm print images based on deep learning methods and gray wolf optimization algorithm
Alshakree, Firas; Akbas, Ayhan; Rahebi, Javad (SPRINGER, 2024)Palm print identification is a biometric technique that relies on the distinctive characteristics of a person’s palm print to distinguish and authenticate their identity. The unique pattern of ridges, lines, and other ... -
A Hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS) Approach for Professional Bloggers Classification
Asim, Yousra; Raza, Basit; Malik, Ahmad Kamran; Shahid, Ahmad R.; Faheem, Muhammad; Kumar, Yogan Jaya (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Despite their small numbers, some users of the online social networks demonstrate the ability to influence others. Bloggers are one of such kind of users that through their ideas and opinions on different topics, influence ... -
A hybrid energy harvesting framework for energy efficiency in wireless sensor networks based smart grid applications
Yıldız, Hüseyin Uğur; Güngör, Vehbi Çağrı; Tavli, Bulent (Institute of Electrical and Electronics Engineers Inc., 2018)In smart grid applications, Wireless Sensor Net-works (WSNs) which consist of battery limited sensor nodes are used on critical equipments of power distribution grids for monitoring purposes. WSN nodes have tight energy ... -
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behcet's Disease
Gormez, Yasin; Isik, Yunus Emre; Bakir-Gungor, Burcu (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Behcet's disease is a long-term multisystem inflammatory disorder, characterized by recurrent attacks affecting several organs. As the genotyping individuals get cheaper and easier following the developments in genomic ... -
Identification of possible pathogenic pathways in Behcet's disease using genome-wide association study data from two different populations
Bakir-Gungor, Burcu; Remmers, Elaine F.; Meguro, Akira; Mizuki, Nobuhisa; Kastner, Daniel L.; Gul, Ahmet; Sezerman, Osman U. (NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, 2015)Behcet's disease (BD) is a multi-system inflammatory disorder of unknown etiology. Two recent genome-wide association studies (GWASs) of BD confirmed a strong association with the MHC class I region and identified two ... -
Identification of Shared Pathways Among Immune Related Diseases Utilizing Active Subnetworks
Eryilmaz, Mahmut Kaan; Kuzudisli, Cihan; Gungor, Burcu Bakir (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2020)Different, but related diseases often contain shared symptoms indicating the presence of possible overlaps in underlying pathogenic mechanisms. The identification of the shared pathways and related factors across these ... -
Identify Commonly Affected Pathways in Psychiatric Diseases
Bulut, Umit; Bakir-Gungor, Burcu (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)Genome-wide association studies (GWAS) are an extraordinary source of information when it comes to revealing the common variations of human complex diseases. Until now, the large amount of data generated from these studies ...