With today's developing technology, learning applications reach more people within shorter time. This development of technology closely affects mobile technology. These developments in mobile technology are applied to make learning more effective. Mobile learn…
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55 results for “Machine learning algorithms”
Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…
Wireless Sensor Networks, used widely nowadays, are likely to be unprotected against a variety of external attacks because they are often used in outdoor applications. Protecting the network against attack and ensuring the safety of the data has always been im…
Education systems are facing many challenges today. Information technologies and the nature of work have been changing rapidly and redefining the concepts of training and workforce. Professions will evolve and some of the jobs we know today will disappear in…
In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes on differen…
Based on the crucial role of vocabulary in language education, the present study set out to examine preservice EFL teachers views on learning and teaching vocabulary. The main aim in so doing is to enhance teacher education programs in terms of more effective…
We are at a time when electronic systems are structured in a manner similar to the human brain.The memristor, a neuromorphic circuit designed by Chua in 1971, is a modeling of synaptic learning and associative learning. Neuromorphic circuit elements and memris…
Bu çalışmada, frekans çözünürlüğünün (yankı çözünürlüğünün) R-MUSIC (Root-MUSIC, Çoklu Sinyal Sınıflandırma) ve ESPRIT (Rotasyonel Değişmezlik Tekniği ile İşaret Parametrelerinin Kestirimi) yöntemleri kullanılarak nasıl değiştiği incelenmiştir. Bu yöntemler,…
In this paper, three different types of coordinate transformations that are frequently used in geodetic applications are given the details of their application with evolutionary algorithms. Similarity (Helmert), Affin and Projective transformation models commo…
Inquiry-based learning is important for students to understand scientific knowledge and the working systems of scientists to develop their knowledge. For this, students should have some skills, and if they do not have, these skills need to be gained. Some of…
What makes a learner “a good learner” and how we can use this to improve the learning of the other learners have long been discussed and studied. Studies conducted throughout years have shown that “Language Learning Strategies” affect the learners in many ways…
Bu çalışmada Yapay Arı Koloni optimizasyon algoritmalarının üç varyantı sürü robotların hedef bulma probleminde kullanılmıştır. Yapay arı kolonisi optimizasyon algoritmalarının Unity 3D ortamında simülasyonunu gerçekleştiren yazılım geliştirilmiştir. Sürü ro…
Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of image processing. Nume…
Due to the population growth, the use and management of natural resources has been one of the most important issues while ecological studies are gaining importance. In this context, the use and management of water which is the main source of life has had a maj…
A useful and flexible method based on the salp swarm algorithm (SSA) for the pattern nulling of linear antenna arrays with the prescribed nulls is presented. SSA is a relatively new population based evolutionary optimization algorithm. Nulling of the pattern i…
Deep learning allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction mimicking how the brain perceives and understands multimodal information, thus implicitly capturing intricate structures of …
Complexity in the behavior of asphalt binders are further escalated with geopolymer (fly ash and the alkali liquid) modification thus, making it difficult to predict the performance of the binder accurately. This study employs artificial neural network model…
In this paper, a different approach for the optimal active power flow solution in multi-terminal HVDC systems to minimize total active power generation cost is proposed. System constraints for all of the control and state variables of both AC and DC systems ar…
Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…
İnternette yaygın veri kullanımı ve kapasitesi her geçen gün hızla artmaktadır. Bu nedenle, bu verilerin aktarımı veya iletimi sırasında veri güvenliği önem arz etmektedir. Dolayısıyla, birçok veri şifreleme algoritmaları kullanılmaktadır. Literatürde en yaygı…