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Accurate detection of coronavirus cases using deep learning with attention mechanism and genetic algorithm
(SPRINGER, 2024)The novel coronavirus disease has caused severe threats to the daily life and health of people all over the world. Hence, early detection and timely treatment of this disease are signifcant to prevent the coronavirus’s ... -
A comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques
(Elsevier Ltd, 2016)Considering the ever changing market conditions, it is essential to design responsive and flexible manufacturing systems. This study addresses the multi-period Dynamic Cellular Manufacturing System (DCMS) design problem ... -
Deep Learning Approach to Technician Routing and Scheduling Problem
(EDICIONES UNIV SALAMANCA, 2022)This paper proposes a hybrid algorithm including the Adam algorithm and body change operator (BCO). Feasible solutions to technician routing and scheduling problems (TRSP) are investigated by performing ... -
Integrated definition modeling and Taguchi analysis of flexible manufacturing systems: Aircraft industry application
(2013)In this paper, flexible manufacturing systems (FMS) are studied. Firstly, an FMS design approach is proposed using integrated definition for function methodology. A systematic layout design and performance evaluation scheme ... -
A new simulated annealing approach for travelling salesman problem
(2013)The aim of this study is to improve searching capability of simulated annealing (SA) heuristic through integration of two new neighborhood mechanisms. Due to its ease of formulation, difficulty to solve and various real ... -
Shortest Confidence Intervals of Weibull Modulus for Small Samples in Materials Reliability Analysis
(GAZI UNIV, 2023)The Weibull distribution has been widely used to model strength properties of brittle materials. Estimation of confidence intervals for Weibull shape parameter has been an important concern, since small sample sizes in ... -
Solving capacitated location routing problem by variable neighborhood descent and GA–Artificial neural network hybrid method
(Faculty of Transport and Traffic Engineering, 2018)This paper aims to find the optimal depot locations and vehicle routings for spare parts of an automotive company considering future demands. The capacitated location-routing problem (CLRP), which has been practiced by ... -
Uzun-Kısa Süreli Bellek Ağı Kullanarak Global Güneş Işınımı Zaman Serileri Tahmini
(2019)Global güneş ışınımı tahmini, güneş enerjisi sistemlerinin etkin yönetimi ve işletilmesinin yanı sıra gelecekteki enerji üretimi hakkında güvenilir bilgi sağlamak için giderek daha fazla önem kazanmaktadır. Bu çalışmada, ...