• An improved demand forecasting model using deep learning approach and proposed decision integration strategy for supply chain 

  Kilimci, Zeynep Hilal; Akyüz, A. Okay; Uysal, Mitat; Akyokuş, Selim; Uysal, M. Ozan; Atak Bülbül, Berna; Ekmiş, Mehmet Ali (Wiley ; Hindawi, 2019)

  Demand forecasting is one of the main issues of supply chains. It aimed to optimize stocks, reduce costs, and increase sales, profit, and customer loyalty. For this purpose, historical data can be analyzed to improve demand ...

• Mood detection from physical and neurophysical data using deep learning models 

  Kilimci, Zeynep Hilal; Güven, Aykut; Uysal, Mitat; Akyokuş, Selim (Wiley ; Hindawi, 2019)

  Nowadays, smart devices as a part of daily life collect data about their users with the help of sensors placed on them. Sensor data are usually physical data but mobile applications collect more than physical data like ...

• Network traffic prediction using variational mode decomposition and multi-reservoirs echo state network 

  Han, Ying; Jing, Yuanwei; Li, Kun; Dimirovski, Georgi M. (IEEE, 2019)

  The network traffic prediction is significant for the network load pre-warning and network congestion control. But the nonlinearity and nonstationarity of the actual network traffic data would reduce the prediction accuracy. ...

• Deep learning and word embedding-based heterogeneous classifier ensembles for text classification 

  Kilimci, Zeynep Hilal; Akyokuş, Selim (Hindawi, 2018)

  The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a tex classification/categorization system. Ensemble ...

• Extended feature spaces based classifier ensembles for sentiment analysis of short texts 

  Kilimci, Zeynep Hilal; Omurca, Sevinç İlhan (Kaunas University of Technology, 2018)

  Sentiment classification has become very popular to analyze opinions about events, products, and so on, especially for social networks such as Twitter. Due to the size limitation of expressing ideas on social networks, the ...

• SSD efficiency at multiple data frequencies: application on the OECD countries 

  Uğurlu, Umut; Taş, Oktay; Güran, Celal Barkan; Güran, Aysun (Vysoka Skola Ekonomicka, 2018)

  The second order stochastic dominance (SSD) has become exceedingly popular in recent years, due to its ability to determine the dominance of one asset over another for all risk-averse investors without a strict requirement ...

• Switching strategy in tracking constant references for linear time-varying delay systems with actuator failures 

  Li, Qing-Kui; Dimirovski, Georgi M.; Fu, Jun; Wang, Jiuhe (Taylor and Francis, 2017-12)

  Tracking of command constant references is a tracking control problem of fundamental importance. This problem for linear time-varying delay systems in the presence of actuator failures is solved in this article. The linear ...

• Exponential stability for multi-area power systems with time delays under load frequency controller failures 

  Li, Xu; Wang, Rui; Wu, Shu-Nan; Dimirovski, Georgi M. (Wiley, 2017-03)

  This paper investigates the exponential stability problem for a class of multi-area power systems with time delays under load frequency controller failures (LFCFs). For describing the phenomenon of LFCFs, the considered ...

• Adaptive impulsive observers for a class of switched nonlinear systems with unknown parameter 

  Li, Jinghan; Ma, Ruicheng; Dimirovski, Georgi M. (Wiley, 2017-05)

  This work investigates and solves the design of adaptive impulsive observers for a class of uncertain switched nonlinear systems with unknown parameter. Sufficient conditions are derived for designing such observers for ...

• Model-based acceleration control of turbofan engines with a hammerstein-wiener representation 

  Wang, Jiqiang; Ye, Zhifeng; Hu, Zhongzhi Z.; Wu, Xin; Dimirovski, Georgi M.; Yue, Hong (De Gruyter, 2017-05)

  Acceleration control of turbofan engines is conventionally designed through either schedule-based or acceleration-based approach. With the widespread acceptance of model-based design in aviation industry, it becomes necessary ...

• Disturbance attenuation in linear systems revisited 

  Wang, Jiqiang; Yue, Hong; Dimirovski, Georgi M. (Springer, 2017-08)

  A variety of methods have been proposed for attenuating or rejecting disturbances in linear systems. Most of the approaches, however, are targeting the performance either near resonance or across the whole frequency range. ...

• An additive FAHP based sentence score function for text summarization 

  Güran, Aysun; Uysal, Mitat; Ekinci, Yeliz; Güran, Celal Barkan (Kaunas University of Technology, 2017)

  This study proposes a novel additive Fuzzy Analytical Hierarchy Process (FAHP) based sentence score function for Automatic Text Summarization (ATS), which is a method to handle growing amounts of textual data. ATS aims to ...

• Dwell-time-based stabilization of switched linear singular systems with all unstable-mode subsystems 

  Li, Jinghan; Ma, Ruicheng; Dimirovski, Georgi M.; Fu, Jun (Elsevier, 2017-05)

  The global stabilization design of a class of switched linear singular systems via a novel dwell-time switching is investigated and solved in this work. The distinguishing feature of the proposed method is that stability ...

• Exponential stability for multi-area power systems with time delays under load frequency controller failures 

  Li, Xu; Wang, Rui; Wu, Shu-Nan; Dimirovski, Georgi M. (Wiley-Blackwell, 2017-03)

  This paper investigates the exponential stability problem for a class of multi-area power systems with time delaysunder load frequency controller failures (LFCFs). For describing the phenomenon of LFCFs, the considered ...

• Helmholtz principle based supervised and unsupervised feature selection methods for text mining 

  Tutkan, Melike; Ganiz, Murat Can; Akyokuş, Selim (Elsevier, 2016-09)

  One of the important problems in text classification is the high dimensionality of the feature space. Feature selection methods are used to reduce the dimensionality of the feature space by selecting the most valuable ...

• Quasi-non-linear deformation modeling of a human liver based on artificial and experimental data 

  Doğan, Fırat; Çelebi, Mustafa Serdar (Wiley-Blackwell, 2016-09)

  Background Researchers working on error-prevention theories have shown that the use of replica models within simulation systems has improved operating skills, resulting in better patient outcomes.Methods This study aims ...

• Robust H control for Non-Minimum phase switched cascade systems with time delay 

  Zhao, Shengzhi; Dimirovski, Georgi M.; Ma, Ruicheng (Wiley-Blackwell, 2015-09)

  The H control of a class of the uncertain switched nonlinear cascaded systems with time delay is explored in this paper via the multiple Lyapunov functions. The considered systems are assumed to comprise an inherently ...

• Stabilization of a class of switched nonlinear systems 

  Wang, Min; Zhao, Jun; Dimirovski, Georgi M. (Watam Press, 2009-06-02)

  The stabilization of a class of single input switched nonlinear systems is investigated in the paper. The system concerned is of switched triangular structure, which has all switched models in triangular form. The stabilization ...

• Robust tracking control for switched linear systems with time-delay: An average dwell time approach 

  Li, Qing-Kui; Zhao, Jun; Dimirovski, Georgi M. (Watam Press, 2009-04-02)

  Robust tracking control for switched linear systems with time-delay is investigated in this paper. Sufficient conditions for the solvability of robust tracking control problem are developed. Based on the theories of ...

• Fuzzy immune controller synthesis for ABR traffic control in high-speed networks 

  Dimirovski, Georgi M.; Jing, Yuanwei; Ren, Tao (Springer, 2009)

  An end-to-end congestion control design synthesis algorithm for the available-bit-rate traffic in high speed asynchronous-transfer-mode networks is studied via applying the synergy of fuzzy-based intelligence and immune ...

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