Başlık için Mühendislik Fakültesi listeleme
Toplam kayıt 1264, listelenen: 216-235
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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, ... -
Critical review on secondary zinc resources and their recycling technologies
(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)In a race to save the earth of its rapidly depleting natural resources, the use of Secondary Raw Materials (SMRs) as alternative replacements in several processes is currently intensively pursued. The valorization of SMRs ... -
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 ... -
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
(NATURE RESEARCHHEIDELBERGER PLATZ 3, BERLIN 14197, GERMANY, 2021)Consumer wearables and sensors are a rich source of data about patients' daily disease and symptom burden, particularly in the case of movement disorders like Parkinson's disease (PD). However, interpreting these complex ... -
Crown shaped edge multiband antenna design for 5G and X-Band applications
(SPRINGER, 2023)Nowadays we are experiencing the fifth-generation (5G) technology with new frequency bands to achieve high broadband speed, minimum latency and more developed end user devices. Due to the different frequency ranges for ... -
Çok işçili montaj hatlarında istasyon ve kaynak yatırımı maliyetinin enküçüklenmesine yönelik tavlama benzetimi ve tam sayılı doğrusal programlamaya dayalı yeni bir algoritma
(Dicle Üniversitesi, 2018)Standardize edilmiş ürünlerin üretiminde yaygın olarak kullanılan montaj hatları önemli bir akış tipi üretim şeklidir. Buhatların dengelenme problemleri üretim ve kaynak yatırımı maliyetlerinin enküçüklenmesi açısından ... -
Çok Ölçekli Malzeme Modellemesi Yoluyla Talaşlı İmalat Çıktılarının Daha Kapsamlı Ve Doğru Analizi
(TUBİTAK, 2020)İnconel 718 savunma sanayi, uzay-havacılık ve otomotiv için kullanılan ve ileride kullanım alanı daha da genişleyebilecek olan süper alaşımdır. Bu projede Inconel 718 süper alaşımının talaşlı imalat sonucunda yüzeyinde ... -
Dalgıç Pompa Uygulamaları İçin Doğrudan Yol Vermeli Senkron Relüktans Motorunun Tasarım Optimizasyonu Ve Gerçeklemesi
(ELEKTRİK, ELEKTRONİK VE ENFORMATİK ARAŞTIRMA DESTEK GRUBU GRUBU: EEEAG, 2023)Günümüzde doğal kaynakların korunması ve enerji maliyetlerinin düşürülmesi için enerji kayıplarının azaltılması ortak bir amaç olarak görülmektedir. Elektrik tahrik sistemlerinin küresel enerji tüketiminin yaklaşık %40?ını ... -
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 ... -
Data-driven discovery and DFT modeling of Fe4H on the atomistic level
(ELSEVIER, 2024)Since their discovery, iron and hydrogen have been two of the most interesting elements in scientific research, with a variety of known and postulated compounds and applications. Of special interest in materials engineering ... -
Debris flow modelling and hazard assessment for a glacier area: a case study in Barsem, Tajikistan
(SPRINGER, 2023)This study analyses a previous debris fow hazard as a consequence of emerging risks related to climate and regional physical changes. In addition to the increasing food frequencies, there is an increasing risk of mud or ... -
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 Employee Attrition Prediction
(SPRINGER LINK, 2023)Employee attrition is a critical issue for the business sectors as leaving employees cause various types of difficulties for the company. Some studies exist on examining the reasons for this phenomenon and predicting it ... -
Deep Learning Based Formation Control of Drones
(Springer Science and Business Media Deutschland GmbH, 2021)Robot swarms can accomplish demanding missions fast, efficiently, and accurately. For a robust operation, robot swarms need to be equipped with reliable localization algorithms. Usually, the global positioning system (GPS) ... -
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 ...