Bölüm "Fakülteler, Mühendislik Fakültesi, Yazılım Mühendisliği Bölümü" Fakülteler için listeleme
Toplam kayıt 35, listelenen: 1-20
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Algebraic construction of cryptographically good binary linear transformations
(Wiley-Hindawi, 2014)[Abstract Not Available] -
Application of parabolic blending for the estimation of thickness distribution in thermoformed products
(Sage Publications Ltd, 2021)The Parabolic Blending (PB) technique has been widely used in various research fields, such as rotor noise prediction, over the last few decades. However, in the literature, PB is not utilised for the thickness prediction ... -
Bird swarm algorithms with chaotic mapping
(Springer, 2020)Swarm intelligence based optimization methods have been proposed by observing the movements of alive swarms such as bees, birds, cats, and fish in order to obtain a global solution in a reasonable time when mathematical ... -
Classifying 8-bit to 8-bit S-boxes based on power mappings from the point of DDT and LAT distributions
(Springer-Verlag Berlin, 2008)S-boxes are vital elements in the design of symmetric ciphers. To date, the techniques for the construction of S-boxes have included pseudo-random generation, finite field inversion, power mappings and heuristic techniques. ... -
A Comparative Study of Amino Acid Encoding Methods for Predicting Drug-Target Interactions in COVID-19 Disease
(Springer Science and Business Media Deutschland GmbH, 2022)Identifying drug-target interactions plays an important role in discovering drugs. Identifying, finding, and preparing drug molecule targets is the key for modern drug discovery. However, potential drug-target interactions ... -
Comparison of deep learning approaches to predict COVID-19 infection
(Pergamon-Elsevier Science Ltd, 2020)The SARS-CoV2 virus, which causes COVID-19 (coronavirus disease) has become a pandemic and has expanded all over the world. Because of increasing number of cases day by day, it takes time to interpret the laboratory findings ... -
Computer-based data analysis techniques: The potential application to crime investigation in cyber space
(Nova Science Publishers, Inc., 2017)Collecting the most versatile information about individuals and their storing in different databases represent the reality of the contemporary society. The growth in the quantity of information has exceeded man’s power to ... -
The Construction of a Majority-Voting Ensemble Based on the Interrelation and Amount of Information of Features
(Oxford Univ Press, 2020)In this paper, we introduced a new ensemble learning algorithm called VIBES, which is better in terms of performance when compared to 85 machine learning algorithms in WEKA tool. This new algorithm is based on three major ... -
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
(Pergamon-Elsevier Science Ltd, 2020)Coronavirus is an epidemic that spreads very quickly. For this reason, it has very devastating effects in many areas worldwide. It is vital to detect COVID-19 diseases as quickly as possible to restrain the spread of the ... -
Database for an emotion recognition system based on EEG signals and various computer games - GAMEEMO
(Elsevier Sci Ltd, 2020)In this study, electroencephalography-based data for emotion recognition analysis are introduced. EEG signals were collected from 28 different subjects with a wearable and portable EEG device called the 14-channel EMOTIV ... -
Design of a touch sensation application including surface tension sample using a haptic device in engineering education
(Wiley, 2019)This paper illustrates the effects of force feedback haptic applications as an educational material on the attitudes of students in engineering education. For this purpose, a simulation design has been carried out on a ... -
Designing a Secure IoT Network by Using Blockchain
(Institute of Electrical and Electronics Engineers Inc., 2019)By the emergence of many intelligent application areas that can be diversified, such as homes and cities being smarter, creates new opportunities. It is clear that the Internet of Things (IoT) will be a large network with ... -
EEG-Based Emotion Estimation with Different Deep Learning Models
(Ieee, 2019)Emotion has a vital role in people's routine lives. It can be expressed via voice, facial expressions, body languages, mimics with intentionally or unintentionally to interact with the environment. In this regard, it is ... -
Effects of using a force feedback haptic augmented simulation on the attitudes of the gifted students towards studying chemical bonds in virtual reality environment
(Taylor & Francis Ltd, 2017)The aim of this study is to identify the effects of force feedback haptic applications developed in virtual reality environments (VREs), which is an important field of study in computer science and engineering, on gifted ... -
Emotion recognition with deep learning using GAMEEMO data set
(Wiley, 2020)Emotion recognition is actively used in brain-computer interface, health care, security, e-commerce, education and entertainment applications to increase and control human-machine interaction. Therefore, emotions affect ... -
Energy Consumption Analysis of Lightweight Cryptographic Algorithms That Can Be Used in the Security of Internet of Things Applications
(Wiley-Hindawi, 2020)The Internet of Things (IoT) has begun to acquire place in our lives quietly and gradually thanks to the presence of wireless communication systems. An increasing number of M2M applications, such as smart meters, healthcare ... -
Feature Selection with Sequential Forward Selection Algorithm from Emotion Estimation Based on EEG Signals
(2019)In this study, we conducted EEG-based emotion recognition on arousal-valence emotion model.We collected our own EEG data with mobile EEG device Emotiv Epoc+ 14 channel by applyingthe visual-aural stimulus. After collection ... -
Force Feedback Simulation Design for Fruit Hardness
(Ieee, 2020)Hardness value is one of the decisive criteria for fruit harvest period. It is important for harvest yield that the harvesting personnel knows the differences of this value with respect to the fruits. Especially in industrial ... -
N-version programming approach with implicit safety guarantee for complex dynamic system stabilization applications
(Sage Publications Ltd, 2021)Safety-critical systems are widely used in many sectors to prevent fatal accidents and prevent loss of life, damage of property, or deterioration of the environment. Implementation of software safety standards as part of ... -
A new involutory 4×4 MDS matrix for the AES-like block ciphers
(2011)Maximum Distance Separable (MDS) codes are used as diffusion layers in the design of the well known block ciphers like the Advanced Encryption Standard (AES) and Khazad. The reason for the use of MDS codes in the design ...