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Spaces Of Fibonacci Difference Ideal Convergent Sequences In Random 2–Normed Space
(Unıvercıty of Nis, 2021)
In this article, by using Fibonacci difference matrix and the notion of ideal convergence of sequences in random 2–normed space, we introduce some new spaces of Fibonacci difference ideal convergent sequences with respect ...
On Asymptotically Wijsman (λ,σ)-Statistical Convergence of Set Sequences
(The Mathematical Association of Thailand, 2021)
In this paper we presents three definitions which is a natural combination of the definition of
asymptotic equivalence, statistical convergence, (λ, σ)-statistical convergence and Wijsman convergence.
In addition, we ...
The population dynamic of honeydew moth [Cryptoblabes gnidiella Mill. (Lepidoptera: Pyralidae)] in vineyard in Antalya
(2021)
The present study was conducted to determine some biological criteria such as the first appearance of adults, peak date, and a number of generation for controlling honeydew moth in vineyard in Antalya province, Turkey ...
A novel ship classification network with cascade deep features for line-of-sight sea data
(2021)
In ship classifcation, selecting distinctive features and designing a proper classifer are two key points of the process. As
a lack of most of the studies, these two essential points are considered separately. In this ...
Prediction of software vulnerability based deep symbiotic genetic algorithms: Phenotyping of dominant-features
(2021)
The detection of software vulnerabilities is considered a vital problem in the software security area for a long time. Nowadays, it is challenging to manage software security due to its increased complexity and diversity. ...
Prediction of the optimal FSW process parameters for joints using machine learning techniques
(Walter de Gruyter GmbH, 2021)
In this work, a couple of dissimilar AA2024/AA7075 plates were experimentally welded for the purpose of considering the effect of friction-stir welding (FSW) parameters on mechanical properties. First, the main mechanical ...
A Novel Short-Term Photovoltaic Power Forecasting Approach based on Deep Convolutional Neural Network
(2021)
In this study, a novel photovoltaic power forecasting system that utilizes a deep Convolutional Neural Network (CNN) structure and an input signal decomposition algorithm is proposed. The proposed CNN architecture extracts ...
Sentiment Analysis of Covid-19 Tweets by using LSTM Learning Model
(Ali KARCI, 2021)
Social media plays an important role in our lives due to the conditions of the age we live. Nowadays, the most popular social media platform that prioritizes meaningful content sharing is Twitter. In Twitter, which produces ...
Random Number Generator Based on Discrete Cosine Transform Based Lossy Picture Compression
(Malatya Turgut Ozal University, 2021)
The The widespread use of digital data makes the security of this data important. Various cryptographic systems are used to ensure the security of this data. The most important part of these systems is random numbers. In ...
Bektaşi Üzümü (Ribes uva-crispa L.) ve Dağ Frenk Üzümünün (Ribes alpinum L.) Bazı Biyokimyasal İçerik ve Biyolojik Aktiviteleri Yönünden Karşılaştırılması
(Aydin Adnan Menderes University, 2021)
Ribes L. cinsine ait bitkiler çoğu zaman doğal olarak yetişen, son zamanlarda da kültürü yapılan çalı formundaki bitkilerdir. Bu cinse ait olan bektaşi üzümü ve frenk üzümünün sağlık açısından çeşitli faydalara sahip olduğu ...