Bölüm "Fakülteler, Mühendislik Fakültesi, Yazılım Mühendisliği Bölümü" Fakülteler için listeleme
Toplam kayıt 35, listelenen: 21-35
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A novel entropy-based mapping method for determining the protein-protein interactions in viral genomes by using coevolution analysis
(Elsevier Sci Ltd, 2021)Protein-protein interactions have a vital role in DNA transcription, immune system, and signal transmission between cells. Determining the interactions between proteins can give information about the functional structure ... -
A novel Fibonacci hash method for protein family identification by using recurrent neural networks
(Tubitak Scientific & Technical Research Council Turkey, 2021)Identification and classification of protein families are one of the most significant problem in bioinformatics and protein studies. It is essential to specify the family of a protein since proteins are highly used in smart ... -
A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning
(Springer Heidelberg, 2021)The new type of corona virus (SARS-COV-2) emerging in Wuhan, China has spread rapidly to the world and has become a pandemic. In addition to having a significant impact on daily life, it also shows its effect in different ... -
On the algebraic construction of cryptographically good 32 x 32 binary linear transformations
(Elsevier Science Bv, 2014)Binary linear transformations (also called binary matrices) have matrix representations over GF(2). Binary matrices are used as diffusion layers in block ciphers such as Camellia and ARIA. Also, the 8 x 8 and 16 x 16 binary ... -
On the algebraic expression of the AES S-box like S-boxes
(2010)In the literature, there are several proposed block ciphers like AES, Square, Shark and Hierocrypt which use S-boxes that are based on inversion mapping over a finite field. Because of the simple algebraic structure of ... -
On the Construction of 20 x 20 and 24 x 24 Binary Matrices with Good Implementation Properties for Lightweight Block Ciphers and Hash Functions
(Hindawi Ltd, 2014)We present an algebraic construction based on state transform matrix (companion matrix) for n x n (where n + 2(k), k being a positive integer) binary matrices with high branch number and low number of fixed points. We also ... -
On the mixcolumns linear transformation used in AES cipher
(2010)AES block cipher includes a linear transformation called MixColumns which transforms 32-bit input to 32-bit output. This transformation has the property that makes linear and differential attacks harder. In this study, we ... -
Pozitif ve Negatif Duyguların Ayrımında Etkili EEG Kanallarının Dalgacık Dönüşümü ve Destek Vektör Makineleri ile Belirlenmesi
(2019)Duygular kişilerin yaşamlarını ve karar verme mekanizmalarını hayatının tamamında etkilemektedir. İnsanlarduygulara kelimeleri, sesleri, yüz mimiklerini ve vücut dillerini kullanarak istemli ya istemsiz bir şekilde, iş ... -
Prediction of Protein-Protein Interactions with LSTM Deep Learning Model
(Institute of Electrical and Electronics Engineers Inc., 2019)Protein-protein interactions (PPI) has a vital role in molecular biology and bioinformatics since they are the key organisms which give information about cellular, its structure and its functions. In recent years many ... -
A project based innovative approach to an embedded systems course laboratory in software engineering education
(Wiley, 2020)In the software development process, which must be coded depending on the platform, software engineering students should have the optimum hardware competence. In this study, the embedded systems course in the software ... -
Real-Time Traffic Classification using Simple CART Forest on FPGAs
(Ieee, 2018)Traffic classification process categorizes internet traffic into application classes by exploiting packet header data or collected packet statistics. Real-time internet traffic classification is mostly required for network ... -
Review of machine learning and deep learning models in agriculture
(2021)Machine learning (ML) refers to the processes that enable computers to think based on variouslearning methods. It can be also called domain which is a subset of Artificial Intelligence (AI).Deep learning (DL) has been a ... -
Simple CART Based Real-Time Traffic Classification Engine on FPGAs
(Ieee, 2017)Traffic classification is a process which assorts computer network traffic into predefined traffic classes by utilizing packet header information or network packet statistics. Real-time traffic classification is mainly ... -
Sürü zekâsında yeni bir yaklaşım: Kuş sürüsü algoritması
(2017)Matematiksel programlama olarak da bilinen optimizasyon, bir amaç (değerlendirme) fonksiyonuna göre bir problemde belirli aralıktaki sayısal değerlerin en uygununu seçen işlemler topluluğudur. Optimizasyon problemleri için ... -
Wind speed forecasting using reptree and bagging methods in Kirklareli-Turkey
(Asian Research Publishing Network (ARPN), 2013)In this study, an analysis was performed by examining the wind power potential of Ki{dotless}rklareli province which is in the west of Turkey. Statistical data between 2001 and 2007 was used in this study. The data was ...