Sürdürülebilir Kalkınma Amaçları

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Yazarlar

• Baloglu, Ulas Baran(1)
• Mete, Suleyman(1)
• Serin, Faruk(1)
• Yıldırım, Özal(1)

• MakaleAçık Erişim2019Scopus SJRQ3/r/munzur/3096
  Optimization of medical waste routing problem: The case of TRB1 region in Turkey

  Mete, Suleyman; Serin, Faruk

  A fundamental problem concerning medical waste disposal is the evaluation of the real and potential risks arising from waste with the focus on the risk of infection. Therefore, the optimization of medical waste routing from collection to disposal center can minimize the risk of infection. The routing of medical waste considers significant to determine potential routes and select the route with minimum distance. The management of the medical waste is important decision for environmental sustainability and includes the collection, transportation and disposal of these materials. In this paper, a geographic information system (GIS) solution approach is proposed to determine the best location of disposal center. Proposed approach is applied to medical waste transportation between 167 health institutions (collection centers) and predetermined 5 disposal centers through TRB1 region in Turkey, which consist of Malatya, Elazığ, Bingöl and Tunceli provinces. The results of case study are examined and suggestions for future research are provided.

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  AtıfScopus7·OpenAlex7

  İncele
• MakaleAçık Erişim2018/r/munzur/3359
  Heartbeat type classification with optimized feature vectors

  Yıldırım, Özal; Baloglu, Ulas Baran

  In this study, a feature vector optimization based method has been proposed for classification of the heartbeat types. Electrocardiogram (ECG) signals of five different heartbeat type were used for this aim. Firstly, wavelet transform (WT) method were applied on these ECG signals to generate all feature vectors. Optimizing these feature vectors is provided by performing particle swarm optimization (PSO), genetic search, best first, greedy stepwise and multi objective evoluationary algorithms on these vectors. These optimized feature vectors are later applied to the classifier inputs for performance evaluation. A comprehensive assessment was presented for the determination of optimized feature vectors for ECG signals and best-performing classifier for these optimized feature vectors was determined.

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  AtıfScopus7·OpenAlex7

  İncele
• Dergi/r/munzur/3097
  International Journal of Optimization and Control: Theories and Applications
  İncele