Başlık için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 251, listelenen: 47-66
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ConVarT: A search engine for matching human genetic variants with variants from non-human species
(Oxford University Press, 2022)The availability of genetic variants, together with phenotypic annotations from model organisms, facilitates comparing these variants with equivalent variants in humans. However, existing databases and search tools do not ... -
Coordination of inbound and outbound transportation schedules with the production schedule
(PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, 2017)This paper studies the coordination of production and shipment schedules for a single stage in the supply chain. The production scheduling problem at the facility is modeled as belonging to a single process. Jobs that are ... -
Correlation of PAPP-A values with maternal characteristics, biochemical and ultrasonographic markers of pregnancy
(MARMARA UNIV, FAC MEDICINEHAYDARPASA, ISTAN, 34668, TURKEY, 2021)Objective: Our aim is to investigate whether there is a correlation of pregnancy-associated plasma protein A (PAPP-A) values with other variables in pregnancy and maternal characteristics. Materials and Methods: We ... -
CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images
(ELSEVIER, 2023)COVID-19 was one of the deadliest and most infectious illnesses of this century. Research has been done to decrease pandemic deaths and slow down its spread. COVID-19 detection investigations have utilised Chest X-ray ... -
CRC-based Memory Reliability for Task-parallel HPC Applications
(IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2016)Memory reliability will be one of the major concerns for future HPC and Exascale systems. This concern is mostly attributed to the expected massive increase in memory capacity and the number of memory devices in Exascale ... -
Credit Card Fraud Detection with Machine Learning Methods
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 01.01.2019)With the increase in credit card usage of people, the credit card transactions increase dramatically. It is difficult to identify fraudulent transactions among the vast amount of credit card transactions. Although credit ... -
Credit Risk Analysis based on Hybrid Classification: Case Studies on German and Turkish Credit Datasets
(IEEE, 2018)— Kredi risk analizi, karar verme süreçleri açısından finans sektöründe önemli bir rol oynamaktadır. Bankalar ve finansal kuruluşlar, müşterilerinden büyük ölçeklerde ham veri toplamaktadırlar. Veri madenciliği teknikleri, ... -
A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
(NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, 2018)The response to respiratory viruses varies substantially between individuals, and there are currently no known molecular predictors from the early stages of infection. Here we conduct a community-based analysis to determine ... -
A Data Mining Method For Refining Groups In Data Using Dynamic Model Based Clustering
(IEEE, 2013)A new data mining method is proposed for determining the number and structure of clusters, and refining groups in multivariate heterogeneous data set including groups, partly and completely overlapped group structures ... -
Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling
(Association for Computing Machinery, 2021)Determining the potential customers is very important in direct marketing. Data mining techniques are one of the most important methods for companies to determine potential customers. However, since the number of potential ... -
A Deep Ensemble Approach for Long-Term Traffic Flow Prediction
(SPRINGER, 2024)In the last 50 years, with the growth of cities and increase in the number of vehicles and mobility, traffic has become troublesome. As a result, traffic flow prediction started to attract attention as an important research ... -
A deep learning approach with Bayesian optimization and ensemble classifiers for detecting denial of service attacks
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2020)Detecting malicious behavior is important for preventing security threats in a computer network. Denial of Service (DoS) is among the popular cyber attacks targeted at web sites of high-profile organizations and can ... -
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
(ELSEVIER, 2022)In the Intelligent Transportation Systems, it is crucial to determine the type of vehicles to improve traffic management, increase human comfort, and enable future development of transport infrastructures. This paper presents ... -
Deep learning based semantic segmentation and quantification for MRD biochip images
(ELSEVIER SCI LTD, 2022)Microfluidic platforms offer prominent advantages for the early detection of cancer and monitoring the patient response to therapy. Numerous microfluidic platforms have been developed for capturing and quantifying the tumor ... -
A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor
(ELSEVIER, 2023)The identification of vehicle types plays a critical role in Intelligent Transportation Systems. In this study, battery-operated, easy-to-install, low-cost 3-D magnetic traffic sensors have been developed for vehicle type ... -
Design of a Tri band 5-Fingers Shaped Microstrip Patch Antenna with an Adjustable Resistor
(IEEE, 2014)This paper presents a tri band 5-fingers shaped microstrip patch antenna, which resonates initially at dual band of 3.2 GHz and 5.2 GHz frequencies for VSWR < 2. The antenna is modified by adding an adjustable resistor ... -
Designing and Modelling Selective Replication for Fault-tolerant HPC Applications
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2017)Fail-stop errors and Silent Data Corruptions (SDCs) are the most common failure modes for High Performance Computing (HPC) applications. There are studies that address fail-stop errors and studies that address SDCs. However ... -
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease
(Institute of Electrical and Electronics Engineers Inc., 2021)Behçet's Disease (BD) is a multi-system inflammatory disorder in which the etiology remains unclear. The most probable hypothesis is that genetic tendency and environmental factors play roles in the development of BD. In ... -
Developing a label propagation approach for cancer subtype classification problem
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA 00000, TURKEY, 2022)Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various subtypes with different clinical and biological implications. Based on these differences, ... -
Developing structural profile matrices for protein secondary structure and solvent accessibility prediction
(OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND, 2019)Motivation: Predicting secondary structure and solvent accessibility of proteins are among the essential steps that preclude more elaborate 3D structure prediction tasks. Incorporating class label information contained in ...
