Yazar "AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" için Fakülteler listeleme
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Machine learning based classifcation of cells into chronological stages using singlecell transcriptomics
Singh, Sumeet Pal; Janjuha, Sharan; Chaudhuri, Samata; Reinhardt, Susanne; Kränkel, Annekathrin; Dietz, Sevina; Eugster, Anne; Bilgin, Halil; Korkmaz, Selçuk; Zararsız, Gökmen; Ninov, Nikolay; Reid, John E. (NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, 2018)Age-associated deterioration of cellular physiology leads to pathological conditions. The ability to detect premature aging could provide a window for preventive therapies against age-related diseases. However, the techniques ... -
Machine Learning based Early Prediction of Type 2 Diabetes: A New Hybrid Feature Selection Approach using Correlation Matrix with Heatmap and SFS
Akbas, Ayhan; Buyrukoğlu, Selim (İstanbul Teknik Üniversitesi, 2022)A new hybrid machine learning method for the prediction of type 2 diabetes is introduced and explained in detail. Also outcomes are compared with the similar researches. Early prediction of diabetes is crucial to take ... -
Man-hour Prediction for Complex Industrial Products
Unal, Ahmet Emin; Boyar, Halit; Pak, Burcu Kuleli; Cem Yildiz, Mehmet; Erten, Ali Erman; Gungor, Vehbi Cagri (Institute of Electrical and Electronics Engineers Inc., 2023)Accurately predicting the cost is crucial for the success of complex industrial projects. There can be several sources contributing to the cost. Traditional methods for cost estimation may not provide the required ... -
A Methodology for Comparing the Reliability of GPU-Based and CPU-Based HPCs
Cini, Nevin; Yalcin, Gulay (ASSOC COMPUTING MACHINERY, 2 PENN PLAZA, STE 701, NEW YORK, NY 10121-0701 USA, 2020)Today, GPUs are widely used as coprocessors/accelerators in High-Performance Heterogeneous Computing due to their many advantages. However, many researches emphasize that GPUs are not as reliable as desired yet. Despite ... -
Micro-Electromechanical Systems for Underwater Environments
Gungor, Vehbi Cagri; Tuna, Gurkan (IGI GLOBAL701 E CHOCOLATE AVE, STE 200, HERSEY, PA 17033-1240 USA, 2017)Underwater networking technologies have brought us unforeseen ways to explore the unexplored aquatic environment and this way provided us with a large number of different kinds of applications for environmental, scientific, ... -
microBiomeGSM: the identification of taxonomic biomarkers from metagenomic data using grouping, scoring and modeling (G-S-M) approach
Bakir-Gungor, Burcu; Temiz, Mustafa; Jabeer, Amhar; Wu, Di; Yousef, Malik (FRONTIERS MEDIA SA, 2023)Numerous biological environments have been characterized with the advent of metagenomic sequencing using next generation sequencing which lays out the relative abundance values of microbial taxa. Modeling the human microbiome ... -
miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and ranking
Yousef, Malik; Goy, Gokhan; Mitra, Ramkrishna; Eischen, Christine M.; Jabeer, Amhar; Bakir-Gungor, Burcu (PEERJ INC341-345 OLD ST, THIRD FLR, LONDON EC1V 9LL, ENGLAND, 2021)A better understanding of disease development and progression mechanisms at the molecular level is critical both for the diagnosis of a disease and for the development of therapeutic approaches. The advancements in high ... -
miRdisNET: Discovering microRNA biomarkers that are associated with diseases utilizing biological knowledge-based machine learning
Jabeer, Amhar; Temiz, Mustafa; Bakir-Gungor, Burcu; Yousef, Malik (Frontiers Media S.A., 2023)During recent years, biological experiments and increasing evidence have shown that microRNAs play an important role in the diagnosis and treatment of human complex diseases. Therefore, to diagnose and treat human complex ... -
miRModuleNet: Detecting miRNA-mRNA Regulatory Modules
Yousef, Malik; Goy, Gokhan; Bakır Güngör, Burcu (RONTIERS MEDIA SAAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND, 2022)Increasing evidence that microRNAs (miRNAs) play a key role in carcinogenesis has revealed the need for elucidating the mechanisms of miRNA regulation and the roles of miRNAs in gene-regulatory networks. A better understanding ... -
Mitigation of H.264 and H.265 Video Compression for Reliable PRNU Estimation
Altinisik, Enes; Tasdemir, Kasim; Sencar, Husrev Taha (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2020)The photo-response non-uniformity (PRNU) is a distinctive image sensor characteristic, and an imaging device inadvertently introduces its sensor's PRNU into all media it captures. Therefore, the PRNU can be regarded as a ... -
Mixture of Learners for Cancer Stem Cell Detection Using CD13 and H&E Stained Images
Oguz, Oguzhan; Akbas, Cem Emre; Mallah, Maen; Tasdemir, Kasim; Guzelcan, Ece Akhan; Muenzenmayer, Christian; Wittenberg, Thomas; Uner, Aysegul; Cetin, A. Enis; Atalay, Rengul Cetin (SPIE-INT SOC OPTICAL ENGINEERING, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA, 2016)In this article, algorithms for cancer stem cell (CSC) detection in liver cancer tissue images are developed. Conventionally, a pathologist examines of cancer cell morphologies under microscope. Computer aided diagnosis ... -
Mobile Sensor Networks: Theory, Control, Communication, and Computation Issues
Gungor, V. Cagri; Gulez, Kayhan; Kawabata, Kuniaki; Tas, Nazif Cihan; Tuna, Gurkan (HINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA, 2013)[Özet Yok] -
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 ...