Browsing Bilgisayar Mühendisliği Bölümü Koleksiyonu by Title
Now showing items 1-20 of 99
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Ad creative generation using reinforced generative adversarial network
(Springer, 2022)Crafting the right keywords and crafting their ad creatives is an arduous task that requires the collaboration of online marketers, creative directors, data scientists, and possibly linguists. Many parts of this craft are ... -
Akıllı Evlerdeki Cihazların Enerji Tüketimine Göre Kaynağının Belirlenmesi
(Bandırma Onyedi Eylül Üniversitesi, 2021)Günümüzde elektrik enerjisi kaynaklarını çeşitlendirmek büyük önem taşımaktadır. Bu çalışmada, bir evin ihtiyaç duyabileceği elektriksel enerjisi iki farklı kaynak tarafından sağlanmaktadır. Bunlardan ilki, şehir ... -
Animal behavior management by energy-efficient wireless sensor networks
(ELSEVIER SCI LTD, 2018)In recent years, studies have been conducted on systems based on wireless sensor networks for the detection of animal behaviors. These systems can offer significant information on how to increase the production and animals' ... -
Anlamlı ve Benzer Olmayan Türkçe Metinler Üretmek için N-Gram Yöntemi ile İstatistiksel ve Kural Tabanlı Yaklaşımın Birlikte Kullanımı
(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 ... -
AR-RBFS: aware-Rruting protocol based on recursive best-first search algorithm for wireless sensor networks
(Hindawi LTD, 2016)Energy issue is one of the most important problems in wireless sensor networks. They consist of low-power sensor nodes and a few base station nodes. They must be adaptive and efficient in data transmission to sink in various ... -
Artificial neural networks for neutron/y discrimination in the neutron detectors of NEDA
(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 ... -
Asal katsayılarla düzenlenmiş doğrusal üreteç
(Beykent Üniversitesi, 2020)Karıştırma algoritmaları, bir veri bütünün parça parça düşünüp bu parçaların yerlerini rastgele seçilen parçalarla değiştirmesi şeklinde işlem yapar. Yani rastgele üretilen bir değere ait konumda bulunan bir veriyi, sıradaki ... -
Augmenting the training database with the method of gradual similarity ratios in the face recognition systems
(Elsevier, 2023)In face recognition systems, light direction, reflection, and emotional and physical changes on the face are some of the main factors that make recognition difficult. Deep metric learning algorithms called representative ... -
Banks' environmental policy and business outcomes: The role of competition
(Wiley, 2020)By integrating the two areas of competition-performance and environment-performance, this research explores if competition matters in the relationship between environmental practices and interest margins in the market. A ... -
Blok zinciri teknolojisine yapılan saldırılar üzerine bir inceleme
(Gazi Üniversitesi, 2018)Son zamanlarda; blok zinciri tabanlı kripto para ödeme sistemleri(bitcoin, ethereum) oldukça popüler olmuştur. Merkezi olmayan eşler arası(P2P: Peer to Peer) ağ yapısına sahip olan bu sistemde tüm işlemler, sadece ekleme ... -
Bosnia and herzegovina’s renewable energy policy and perspective
(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 ... -
A clustering algorithm based on jet algorithms for cross-talk events in neutron detector arrays
(IOP Publishing Ltd., 2022)A clustering algorithm based on the jet (cascade of particles descendant from a single particle due to hadronization) algorithms used in High Energy Physics is presented for identification of neutron cross-talk events in ... -
Collective nature of low-lying excitations in Zn-70,Zn-72,Zn-74 from lifetime measurements using the AGATA spectrometer demonstrator
(Amer Physical Soc, 2013)Background: Neutron-rich nuclei with protons in the fp shell show an onset of collectivity around N=40. Spectroscopic information is required to understand the underlying mechanism and to determine the relevant terms of ... -
Conceptual design of the early implementation of the NEutron Detector Array (NEDA) with AGATA
(Springer, 2016)The NEutron Detector Array (NEDA) project aims at the construction of a new high-efficiency compact neutron detector array to be coupled with large gamma-ray arrays such as AGATA. The application of NEDA ranges from its ... -
A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles Using Deep Reinforcement Learning
(MDPI, 2023)The major challenge faced by autonomous vehicles today is driving through busy roads without getting into an accident, especially with a pedestrian. To avoid collision with pedestrians, the vehicle requires the ability to ... -
Conductivity and dielectric properties of SrLaxBixYxFe12-O-3x(19) (0.0 <= x <= 0.33) hexaferrites
(ELSEVIER SCI LTD, 2016)Both Y-La-Bi substituted and non-substituted Sr-hexaferrites (SrM) were synthesized by sol-gel auto combustion technique and the influences of Y, La and Bi ions on ac/dc conductivities, dielectric constant/loss properties ... -
Coverage and energy efficiency optimization for randomly deployed multi-tier wireless multimedia Sensor Networks
(Kohat University of Science and Technology, 2018)In this study, a novel multi-tier framework is proposed for randomly deployed WMSNs. Low cost directional Passive Infrared Sensors (PIR sensors) are randomly deployed across a Region of Interest (RoI), which are activated ... -
Decalin-assisted light emitting porous Si formation and its optical, surface and morphological properties
(Elsevier Science BV, 2017)In this research paper, light emitting porous silicon (Lep-Si) samples were fabricated by a surfactant-mediated chemical stain etching solution in order to form homogenous luminescent nanostructures at room temperature. ... -
A decision support system for diabetes prediction using machine learning and deep learning techniques
(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 ... -
A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin
(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 ...
