Başlık için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 251, listelenen: 38-57
-
Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity
(PEERJ INC, 2023)Respiratory diseases are among the major health problems causing a burden on hospitals. Diagnosis of infection and rapid prediction of severity without time-consuming clinical tests could be beneficial in preventing the ... -
COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
(Kerim ÇETİNKAYA, 2022)COVID-19 is the most common infectious disease of the last few years and has caused an outbreak all around the world. The mortality rate, which was earlier in the hundreds, increased to thousands and then to millions. ... -
Comparison of Machine Learning Classifiers for Protein Secondary Structure Prediction
(IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Protein yapı tahmininin en önemli aşamalarından biri ise ikincil yapı tahminidir. Protein veritabanlarındaki ... -
Comparison of NR and UniClust Databases for Protein Secondary Structure Prediction
(IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Üç boyutlu yapı tahminin en önemli aşamalarından biri ise ikincil yapı tahminidir. İkincil yapı ... -
Comparison of QoS-aware single-path vs. multi-path routing protocols for image transmission in wireless multimedia sensor networks
(ELSEVIER, 2014)Wireless multimedia sensor network (WMSN) applications require strong multimedia communication competence. Therefore, in WMSN applications, it is necessary to use specific mechanisms in order to handle multimedia communication ... -
A Computational Drug Repositioning Effort using Patients' Reviews Dataset
(Institute of Electrical and Electronics Engineers Inc., 2023)The drug discovery process is one of the core motivations in both medical and, specifically, pharmaceutical disciplines. Due to the nature of the process, it requires an excessive amount of time, clinical experiments, ... -
Consensus embedding for multiple networks: Computation and applications
(CAMBRIDGE UNIV PRESS32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473, 2022)Machine learning applications on large-scale network-structured data commonly encode network information in the form of node embeddings. Network embedding algorithms map the nodes into a lowdimensional space such that the ... -
Contextual Multi-Armed Bandit based Beam Allocation in mmWave V2X Communication under Blockage
(Institute of Electrical and Electronics Engineers Inc., 2023)Due to its low latency and high data rates support, mmWave communication has been an important player for vehicular communication. However, this carries some disadvantages such as lower transmission distances and inability ... -
A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization
(AMER MEDICAL ASSOC330 N WABASH AVE, STE 39300, CHICAGO, IL 60611-5885, 2021)IMPORTANCE Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response ... -
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 ...
