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Kekova

Aydeniz, N.E. (Natural Heritage from East to West: Case studies from 6 EU countries, 2010)

The coastal area and small hills between Kale and Ka Ś in the south of Anatolia, west of Antalya, is the Kekova region. There are irregular inlets, peninsulas and about 30 large and small islands in this region. The flora ...

Lagrangian formulation of electromagnetic fields in nondispersive medium by means of the extended Euler-Lagrange differential equation

Civelek, C.; Bechteler, T.F. (International Journal of Engineering Science, 2008)

This work is concerned with the Lagrangian formulation of electromagnetic fields. Here, the extended Euler-Lagrange differential equation for continuous, nondispersive media is employed. The Lagrangian density for ...

Lagrangian heuristic for scheduling a steelmaking-continuous casting process

Mao, K.; Pan, Q.K.; Tasgetiren, M.F. (Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Scheduling, CISched 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013, 2013)

One of the biggest bottlenecks in iron and steel production is the steelmaking-continuous casting (SCC) process, which consists of steel-making, refining and continuous casting. The production scheduling of SCC is a complex ...

Land grab processes in Romania and bulgaria: A historical continuity perspective [Tarihsel devamlılık bağlamında Romanya ve bulgaristan’da toprak yağması süreçleri]

Mandaci, N. (Uluslararasi Iliskiler, 2018)

Although they are positioned in the periphery of the Western economic core, Romania and Bulgaria are different from the Third World countries that were exploited and colonized by the Western powers in the preceding centuries, ...

Lean in higher education: A proposed model for lean transformation in a business school with MCDM application

Kazancoglu, Y.; Ozkan-Ozen, Y.D. (Quality Assurance in Education, 2019)

Purpose: This research aims to investigate and define the eight wastes of lean philosophy in higher education institutions (HEIs) by proposing a multi-stage model. Design/methodology/approach: The authors have used a ...

Learning Curve Analysis of Intracorporeal Cuff Suturing During Robotic Single-Site Total Hysterectomy

Akdemir, A.; Zeybek, B.; Ozgurel, B.; Oztekin, M.K.; Sendag, F. (Journal of Minimally Invasive Gynecology, 2015)

Study Objective: To analyze the learning curve of intracorporeal cuff suturing during robotic single-site total hysterectomy. Design: Retrospective study (Canadian Task Force classification II-1). Setting: University ...

Learning Feedback Linearization Based Stable Robust Adaptive NARMA Controller Design for Rotary Inverted Pendulum

Soydemir, M.U.; Sailin, S.; Bulucu, P.; Kocaoglu, A.; Guzelis, C. (ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering, 2019)

This paper presents a Learning Feedback Linearization (LFL) based Nonlinear Auto-Regressive Moving Average (NARMA) controller design for a ROTary inverted PENdulum (ROTPEN) plant. The proposed NARMA controller comprises ...

Learning from Casbah of Algiers for more Sustainable Environment

Karabag, N.E.; Fellahi, N. (Energy Procedia, 2017)

Algeria as one of the Islamic biggest countries in Africa has three different climate zones: Mediterranean, semi-arid and arid; in three different regions: Northern, Central and Southern. Each region developed its typical ...

Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems

Bulucu, P.; Soydemir, M.U.; Sahin, S.; Kocaoglu, A.; Guzelis, C. (Neural Processing Letters, 2020)

This study presents a nonlinear auto-regressive moving average (NARMA) based online learning controller algorithm providing adaptability, robustness and the closed loop system stability. Both the controller and the plant ...

Learning to move an object by the humanoid robots by using deep reinforcement learning

Aslan, S.N.; Tasci, B.; Ucar, A.; Guzelis, C. (IOS Press, 2021)

This paper proposes an algorithm for learning to move the desired object by humanoid robots. In this algorithm, the semantic segmentation algorithm and Deep Reinforcement Learning (DRL) algorithms are combined. The semantic ...

Less pain, more gain: Volatility-adjusted residual momentum in international equity markets

Zaremba, A.; Umutlu, M.; Maydybura, A. (Investment Analysts Journal, 2018)

We offer a new type of momentum strategy — the volatility-adjusted residual momentum (VARMOM) — which is based on average past residuals scaled with their volatility. We demonstrate its application for international asset ...

Letter to Editor: Rebuttal to "some comments to the paper 'Energy, exergy and sustainability analyses of hybrid renewable energy based hydrogen and electricity production and storage systems: Modeling and case study'"

Caliskan, H.; Dincer, I.; Hepbasli, A. (Applied Thermal Engineering, 2013)

[No abstract available]

Letter to Editor: Rebuttal to "some comments to the paper 'Energy, exergy and sustainability analyses of hybrid renewable energy based hydrogen and electricity production and storage systems: Modeling and case study'"

Caliskan, H.; Dincer, I.; Hepbasli, A. (Applied Thermal Engineering, 2013)

This rebuttal form is prepared by the authors of paper, ent5itled Energy, exergy and sustainability analyses of hybrid renewable energy based hydrogen and electricity production and storage systems: Modeling and case study. ...