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Πλοήγηση ανά Θέμα 
  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Πλοήγηση ανά Θέμα
  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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Πλοήγηση ανά Θέμα "Optimisations"

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Αποτελέσματα 1-20 από 28

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      Analytical solution and optimisation of serial supply chains with multiple nodes, lost sales, continuous review replenishment policies, stochastic lead times and external demand 

      Geranios M., Vidalis M.I., Koukoumialos S.I., Diamantidis A.C. (2022)
      This work analyses a serial supply chain with an arbitrary number of nodes (retailer, wholesaler, manufacturer, supplier, etc.). Every node faces supply uncertainty in both replenishment lead time and quantity delivered ...
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      A Bayesian methodology for crack identification in structures using strain measurements 

      Gaitanaros, S.; Karaiskos, G.; Papadimitriou, C.; Aravas, N. (2010)
      A Bayesian system identification methodology is presented for estimating the crack location, size and orientation in a structure using strain measurements. The Bayesian statistical approach combines information from measured ...
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      Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation 

      Sovatzidi G., Iakovidis D.K. (2022)
      Motivated by the brainstorming process of human beings, a novel learning Fuzzy Cognitive Map (FCM) model named Brainstorming Fuzzy Cognitive Map (BFCM) is proposed. The proposed model is based on a state-of-the-art ...
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      Branchless Code Generation for Modern Processor Architectures 

      Angelou A., Dadaliaris A., Dossis M., Dimitriou G. (2021)
      Compilers apply transformations to the code they compile in order to make it run faster without changing its behavior. This process is called code optimization. Modern compilers apply many different passes of code optimization ...
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      Daily temperature optimisation in greenhouse by reinforcement learning 

      Tchamitchian, M.; Kittas, C.; Bartzanas, T.; Lykas, C. (2005)
      The goal of this study is to show the usefulness of reinforcement learning (RL) to solve a common greenhouse climate optimisation problem. The problem is to minimise the daily heating cost while achieving simultaneously ...
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      Energy and Exergy-Based Screening of Various Refrigerants, Hydrocarbons and Siloxanes for the Optimization of Biomass Boiler–Organic Rankine Cycle (BB–ORC) Heat and Power Cogeneration Plants 

      Douvartzides S.L., Tsiolikas A., Charisiou N.D., Souliotis M., Karayannis V., Taousanidis N. (2022)
      The cogeneration of power and heat was investigated for Biomass Boiler–Organic Rankine Cycle (BB–ORC) plants with the characteristics of typical units, such as the 1 MWel Turboden ORC 10 CHP. The thermodynamic analysis of ...
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      Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination with Power Management and Trajectory Design 

      Wang W., Qi N., Jia L., Li C., Tsiftsis T.A., Wang M. (2022)
      As massive ground users access wireless networks with limited available spectrum, coexisting users that share the same spectrum band severely interfere with each other. Moreover, communication pairs without direct communication ...
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      Enhanced short-term load forecasting using artificial neural networks 

      Arvanitidis A.I., Bargiotas D., Daskalopulu A., Laitsos V.M., Tsoukalas L.H. (2021)
      The modernization and optimization of current power systems are the objectives of research and development in the energy sector, which is motivated by the ever-increasing electricity demands. The goal of such research and ...
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      Evolutionary principal direction divisive partitioning 

      Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2010)
      While data clustering has a long history and a large amount of research has been devoted to the development of clustering algorithms, significant challenges still remain. One of the most important challenges in the field ...
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      Feature Selection in Single-Cell RNA-seq Data via a Genetic Algorithm 

      Chatzilygeroudis K.I., Vrahatis A.G., Tasoulis S.K., Vrahatis M.N. (2021)
      Big data methods prevail in the biomedical domain leading to effective and scalable data-driven approaches. Biomedical data are known for their ultra-high dimensionality, especially the ones coming from molecular biology ...
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      Federated-Learning-Driven Radio Access Networks 

      Foukalas F. (2022)
      In this work, we present federated learning (FL) driven radio access mechanisms, which can be employed at the future radio access networks (RANs) to achieve high accuracy rather than data rate that was the objective in ...
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      A hybrid metaheuristics-based algorithm for electricity load curves profiling 

      Panapakidis I.P., Kechagias C.-A., Bargiotas D. (2021)
      Clustering-based load profiling utilizes unsupervised machine learning algorithms to form homogenous clusters composed by electricity load curves with similar characteristics. Due to the importance of load profiling in ...
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      Impacts of autonomous on-demand mobility service: A simulation experiment in the City of Athens 

      Mourtakos V., Oikonomou M.G., Kopelias P., Vlahogianni E.I., Yannis G. (2022)
      High-capacity Connected and Autonomous Vehicles (CAVs) are expected to be extensively utilized by on-demand services. This paper aims to assess the impacts of large-scale autonomous on-demand mobility services on traffic, ...
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      Joint Wireless Resource and Computation Offloading Optimization for Energy Efficient Internet of Vehicles 

      Pliatsios D., Sarigiannidis P., Lagkas T.D., Argyriou V., Boulogeorgos A.-A.A., Baziana P. (2022)
      The Internet of Vehicles (IoV) is an emerging paradigm, which is expected to be an integral component of beyond-fifth-generation and sixth-generation mobile networks. However, the processing requirements and strict delay ...
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      Laser cutting of 3D printed acrylonitrile butadiene styrene plates for dimensional and surface roughness optimization 

      Kechagias J.D., Ninikas K., Petousis M., Vidakis N. (2022)
      3D printing (3DP) of polymers using fused filament fabrication (FFF) is not yet massively adopted in industrial environments due to shape accuracy and surface integrity limitations. However, the FFF process combined with ...
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      Metal stack and partitioning exploration for monolithic 3D ICs 

      Sketopoulos N., Sotiriou C., Pavlidis V. (2020)
      In this work, we investigate the effect of metal stack and tier 3D IC partitioning methodologies on the Quality of Results (QoR) of monolithic 3D circuits compared to their 2D counterparts. Two interconnect options are ...
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      Multi-Metric Waveform Optimization for Multiple-Input Single-Output Joint Communication and Radar Sensing 

      Ni Z., Zhang J.A., Yang K., Huang X., Tsiftsis T.A. (2022)
      Joint communication and radar sensing (JCAS) integrates the two functions into one system, sharing one transmitted signal. In this paper, we investigate JCAS waveform optimization in communication-centric systems, where a ...
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      Multi-parameter optimization of PLA/Coconut wood compound for Fused Filament Fabrication using Robust Design 

      Kechagias J.D., Zaoutsos S.P., Chaidas D., Vidakis N. (2022)
      This study investigates the effects of four variables during fused filament fabrication of organic biocompatible composite material, PLA with coconut flour, at the ultimate tensile strength (UTS), and elasticity module (E) ...
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      Optimal sensor location methodology for structural identification and damage detection 

      Ntotsios, E.; Christodoulou, K.; Papadimitriou, C. (2006)
      Theoretical and computational issues arising in the selection of the optimal sensor configuration in structural dynamics are addressed. The information entropy is introduced to measure the performance of a sensor configuration. ...
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      Optimised mobility tracking in current and future mobile networks 

      Korinthios J.A., Sykas E.D. (2017)
      4th Generation (4G) Mobile Networks based on the All-IP paradigm are aggressively deployed worldwide and 5th Generation (5G) mobile networks will emerge in the forthcoming years. Signaling load optimization on the air-interface ...
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