Browsing Industrial Engineering by Document Type "Conference paper"
Now showing items 1-20 of 43
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Advancing home healthcare through machine learning: Predicting service time for enhanced patient care
(IEEE, 2023)Providing healthcare services at home is crucial for patients who require long-term care or face mobility or other health-related constraints that prevent them from traveling to healthcare facilities. Effective data analysis ... -
Agile performance indicators for team performance evaluation in a corporate environment
(The ACM Digital Library, 2018)Software development is a must for almost all industries including services, production, health and even construction. Being so widespread, software development industry needs metrics for especially two reasons; performance ... -
Applying migrating birds optimization to credit card fraud detection
(Springer Science+Business Media, 2013)We discuss how the Migrating Birds Optimization algorithm (MBO) is applied to statistical credit card fraud detection problem. MBO is a recently proposed metaheuristic algorithm which is inspired by the V flight formation ... -
An approach for predicting employee churn by using data mining
(IEEE, 2017)Employee churn prediction which is closely related to customer churn prediction is a major issue of the companies. Despite the importance of the issue, there is few attention in the literature about. In this study, we ... -
Benchmarking regression algorithms for income prediction modeling
(IEEE, 2015)This paper aims to predict incomes of customers for banks. In this large-scale income prediction benchmarking paper, we study the performance of various state-of-the-art regression algorithms (e.g. ordinary least squares ... -
Broadband high power amplifier design using GaN HEMT technology
(IEEE, 2021)This paper presents the design and measurements of a broadband GaN HEMT power amplifier intended for point-to-point radios, electronic warfare systems, and test and measurement applications. The proposed power amplifier ... -
A capacitated mobile facility location problem with mobile demand: Recurrent service provision to en route refugees
(OpenProceedings.org, 2022)In this paper, we help humanitarian organizations provide service via mobile facilities (MFs) to migrating refugees, who attempt to cross international borders. Over a planning horizon, we aim to optimize number and routes ... -
Capacitated stochastic lot-sizing and production planning problem under demand uncertainty
(Elsevier, 2022)This paper proposes two multi-period, multi-item capacitated stochastic lot-sizing problems under demand uncertainty. We model uncertainty via a scenario tree. The first model considers production, inventory, backlogging, ... -
A CART-based genetic algorithm for constructing higher accuracy decision trees
(SciTePress, 2020)Decision trees are among the most popular classification methods due to ease of implementation and simple interpretation. In traditional methods like CART (classification and regression tree), ID4, C4.5; trees are constructed ... -
A chance constraint based multi-item production planning model using simulation optimization
(IEEE, 2016)We consider a single stage multi-item production-inventory system under stochastic demand. We had previously proposed a production planning model integrating ideas from forecast evolution and inventory theory to plan work ... -
Churn prediction for mobile prepaid subscribers
(Institute for Systems and Technologies of Information, Control and Communicatio, 2017)In telecommunication, mobile operators prefer to acquire postpaid subscribers and increase their incoming revenue based on the usage of postpaid lines. However, subscribers tend to buy and use prepaid mobile lines because ... -
A computational study of lower bounds for the two dimensional bin packing problem
(Elsevier, 2010-08-01)We survey lower bounds for the variant of the two-dimensional bin packing problem where items cannot be rotated. We prove that the dominance relation claimed by Carlier et al. between their lower bounds and those of Boschetti ... -
Çevik yöntemlerde cosmic i̇şlev puanı ve hikaye puanının birlikte kullanımı
(CEUR-WS, 2017)Hikaye Puanı (SP: Story Point), Scrum ve Kanban gibi çevik yöntemlerde kullanılan en yaygın metriklerden birisidir. Subjektif bir metrik olsa da kullanışlı ve basit olması nedeniyle çevik ekiplerin birikim listelerinde ... -
Designing an efficient gradient descent based heuristic for clusterwise linear regression for large datasets
(Springer, 2021)Multiple linear regression is the method of quantifying the effects of a set of independent variables on a dependent variable. In clusterwise linear regression problems, the data points with similar regression estimates ... -
Effective training methods for automatic musical genre classification
(SciTePress, 2019)Musical genres are labels created by human and based on mutual characteristics of songs, which are also called musical features. These features are key indicators for the content of the music. Rather than predictions by ... -
An exact algorithm for the Steiner tree problem with delays
(Elsevier, 2010-08-01)The Steiner Tree Problem with Delays (STPD) is a variant of the well-known Steiner Tree Problem in which the delay on each path between a source node and a terminal node is limited by a given maximum value. We propose a ... -
Exact method for robotic cell problem
(Elsevier, 2010-08-01)This study investigates an exact method for the Robotic Cell Problem. We present an exact branch and bound algorithm which is the first exact procedure specifically designed for this strongly NP-hard problem. In this ... -
A gradient descent based heuristic for solving regression clustering problems
(SciTePress, 2020)Regression analysis is the method of quantifying the effects of a set of independent variables on a dependent variable. In regression clustering problems, the data points with similar regression estimates are grouped into ... -
A hierarchical approach for solving simultaneous lot sizing and scheduling problem with secondary resources
(Elsevier, 2019)This study represents a decomposition heuristic approach for simultaneous lot sizing and scheduling problem for multiple product, multiple parallel machines with secondary resources. The motivation of the study comes from ... -
HYGAR: a hybrid genetic algorithm for software architecture recovery
(ACM, 2022)Genetic algorithms have been used for clustering modules of a software system in line with the modularity principle. The goal of these algorithms is to recover an architectural view in the form of a modular structural ...
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