• Düşük enerjili orta ve büyük ölçekli kablosuz algılayıcı ağlar için güvenli yönlendirme protokolü 

  Kiani, Farzad (Türkiye Bilişim Vakfı, 2016)

  Kablosuz Algılayıcı Ağlar, çok sayıda düşük güçlü sensör düğümünden oluşan ve değişkenlik gösterebilen ağlardır. Bu makalede, yeni anahtar yönetim metodu ile çeşitli saldırılara karşı iki güvenli yönlendirme protokolü ...

• Three part hybrid encryption schema 

  Gençoğlu, Hakan; Yerlikaya, Tarık (Balkan Yayın, 2019)

  Hybrid encryption schemes are consist of two parts. First part for encryting the text with symmetric algorithm called DEM (Data Encryption Mechanism) and the second one is for encrypting the symmetric algorithm key with ...

• Anlamlı ve Benzer Olmayan Türkçe Metinler Üretmek için N-Gram Yöntemi ile İstatistiksel ve Kural Tabanlı Yaklaşımın Birlikte Kullanımı 

  Kutlugün, Mehmet Ali; Şirin, Yahya (Dokuz Eylül Üniversitesi, 2020)

  Metin üretme çalışmaları, mevcut cümlelerin analiz edilerek yeni bilgi çıkarımlarının yapıldığı, varolan bir bilgiden yola çıkarak bununla bağlantılı anlamlı bilgilerin elde edildiği sistemlerdir. Bu sistemler, özellikle ...

• I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems 

  Seyyedabbaşı, Amir; Kiani, F. (Springer London, 2019)

  In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization problems inspired by the Grey Wolf Optimizer (GWO) algorithm. In the GWO algorithm, wolves are likely to be located in regions ...

• Low-cost open-source high-frequency portable pulse counter for Raspberry Pi and its application to Xray transmission rate measurement 

  Zengin, Aydın Tarık (Institute of Physics Publishing, 2019)

  Affordable electronics for instrumentation play a vital role in academia since research budgets are tight nowadays. In this paper a low-cost open-source high-frequency portable Raspberry Pi-based pulse counter is presented. ...

• Frequency and dc bias voltage dependent dielectric properties and electrical conductivity of BaTiO 3 [sbnd]SrTiO 3 /(SiO 2 ) x nanocomposites 

  Slimani, Y.; Ünal, Bayram; Hannachi, E.; Selmi, A.; Almessiere, M.A.; Nawaz, M.; Yildiz, M. (Elsevier Ltd, 2019)

  BaTiO 3 [sbnd]SrTiO 3 /(SiO 2 ) x nanocomposites (x = 0, 0.5, 1, 2 and 5%) were produced through solid state reaction. The morphological, structural, spectral, and optical properties were investigated by scanning electron ...

• Metinlerde duygu analizi 

  Uzun-Per, Meryem; Atik, Nurullah; Tekbıyık, Ömer Faruk; Bek, İsmail Alim; Güroğlu, Muhammed Behaeddin (Institute of Electrical and Electronics Engineers Inc., 2019)

  Emotion Analysis in Texts aims to predict the feeling that the text gives in text-based data sets. The emotion given by the text can be positive or negative polarization shaped, or can be any emotion such as anger, joy, ...

• A decision support system for diabetes prediction using machine learning and deep learning techniques 

  Yahyaoui, Amani; Jamil, Akhtar; Rasheed, Jawad; Yesiltepe, Mirsat (Institute of Electrical and Electronics Engineers Inc., 2019)

  With the continuing increase in the number of the deadly diseases that threaten both human health and life, medical Decision Support Systems (DSS) continue to prove their effectiveness in providing physicians and other ...

• Bosnia and herzegovina’s renewable energy policy and perspective 

  Tokic, A.; Akinci, T.C.; Zengin, Aydın Tarık (Econjournals, 2020)

  Bosnia and Herzegovina is one of the richest countries in the Balkans in terms of renewable energy sources. Although Bosnia and Herzegovina has energy sources such as geothermal, solar and wind, the primary sources of ...

• Short-term wind speed forecasting system using deep learning for wind turbine applications 

  Erdemir, Gökhan; Zengin, Aydın Tarık; Akinci, T.C. (Institute of Advanced Engineering and Science, 2020)

  It is very important to accurately detect wind direction and speed for wind energy that is one of the essential sustainable energy sources. Studies on the wind speed forecasting are generally carried out for long-term ...

• Artificial neural networks for neutron/y discrimination in the neutron detectors of NEDA 

  Fabian, X.; Baulieu, G.; Ducroux, L.; Stézowski, O.; Boujrad, A.; Clément, E.; Wadsworth, R.; Erduran, Mustafa Nizamettin (Elsevier B.V., 2021)

  Three different Artificial Neural Network architectures have been applied to perform neutron/? discrimination in NEDA based on waveform and time-of-flight information. Using the coincident ?-rays from AGATA, we have been ...

• Wireless sensor network and internet of things in precision agriculture 

  Kiani, Farzad; Seyyedabbasi, Amir (Science & Information Sai Organization Ltd, 2018)

  Internet of Things is one of the most popular subjects nowadays where sensors and smart devices facilitate the provision of information and communication. In IoT, one of the main concepts is wireless sensor networks in ...

• The impact of Eu3+ ion substitution on dielectric properties of Y3-xEuxAl5O12 (0.00x0.10) ceramics 

  Almessiere, M. A.; Ünal, Bayram; Baykal, A.; Ercan, I.; Yildiz, M. (Springer, 2019)

  This study reported the effect of Eu substitutions on the conductivity and dielectric properties of Y3-xEuxAl5O12 (0.0x0.1), YAG:xEu(3+). All products were fabricated by solid state route. The formation of YAG was approved ...

• Designing a dynamic protocol for real-time Industrial Internet of Things-based applications by efficient management of system resources 

  Kiani, Farzad; Nematzadehmiandoab, Sajjad; Seyyedabbasi, Amir (Sage Publications Ltd, 2019)

  Wireless sensor networks have gained the attention of researchers from various fields due to increased applicability. This has thus led to rapid development in the field. However, these networks still suffer from various ...

• ROSETLineBot: One-wheel-drive low-cost power line ınspection robot design and control 

  Zengin, Aydın Tarık; Erdemir, Gökhan; Akıncı Tahir Çetin; Selçuk, Fahri Anıl; Erduran, Mustafa Nizamettin; Seker, S. Serhat (Engineering & Scientific Research Groups, 2019)

  Continuous operation of the electrical transmission lines is of great importance for today s electricity-dependent world. It is crucial to detect and diagnose a possible problem on the lines before that occurs. In general, ...

• Machine-learning algorithms for mapping debris-covered glaciers: the hunza basin case study 

  Khan, Aftab Ahmed; Jamil, Akhtar; Hussain, Dostdar; Taj, Murtaza; Jabeen, Gul; Malik, Muhammad Kamran (Ieee-Inst Electrical Electronics Engineers Inc, 2020)

  Global warming is one of the main challenges of recent times. The glaciers are melting faster than expected which has resulted in global mean sea level rise and increased the risk of floods. The development of modern remote ...

• Measurement of power line sagging using sensor data of a power line inspection robot 

  Zengin, Aydın Tarık; Erdemir, Gökhan; Akinci, Tahir Cetin; Seker, Serhat (Ieee-Inst Electrical Electronics Engineers Inc, 2020)

  The operation of energy transmission lines with high efficiency without failure has great importance in today & x2019;s electricity-dependent world. Problems that may occur in electricity transmission lines are failure ...

• Isospin properties of nuclear pair correlations from the level structure of the self-conjugate nucleus ru-88 

  Cederwall, B.; Liu, X.; Aktas, O.; Ertoprak, A.; Zhang, W.; Qi, C.; Zielinska, M.; Erduran, Mustafa Nizamettin (AMER PHYSICAL SOC, 2020)

  The low-lying energy spectrum of the extremely neutron-deficient self-conjugate (N = Z) nuclide Ru-88(44)44 has been measured using the combination of the Advanced Gamma Tracking Array (AGATA) spectrometer, the NEDA and ...

• HEEL: A new clustering method to improve wireless sensor network lifetime 

  Seyyedabbasi, Amir; Dogan, Gulustan; Kiani, Farzad (Inst Engineering Technology-Iet, 2020)

  In wireless sensor networks, some resources such as memory and energy are limited. In recent years, there has been an increasing interest in improving network lifetime. Node energy plays an important role in the network ...

• A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin 

  Hussain, Dostdar; Hussain, Tahir; Khan, Aftab Ahmed; Naqvi, Syed Ali Asad; Jamil, Akhtar (Springer Heidelberg, 2020)

  Streamflow prediction is a significant undertaking for water resources planning and management. Accurate forecasting of streamflow always being a challenging task for the hydrologist due to its high stochasticity and dynamic ...

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