25 citations · 45 across the 16 of their papers we have counts for
19 papers
Challenges Encountered in Turkish Natural Language Processing Studies
Kadir Tohma, Yakup Kutlu
Natural language processing is a branch of computer science that combines artificial intelligence with linguistics. It aims to analyze a language element such as writing or speakin…
Online LDA based brain-computer interface system to aid disabled people
Apdullah Yayik, Yakup Kutlu
This paper aims to develop brain-computer interface system based on electroencephalography that can aid disabled people in daily life. The system relies on one of the most effectiv…
Multimedia Respiratory Database (RespiratoryDatabase@TR): Auscultation Sounds and Chest X-rays
Gokhan Altan, Yakup Kutlu, Yusuf Garbi +2
Auscultation is a method for diagnosis of especially internal medicine diseases such as cardiac, pulmonary and cardio-pulmonary by listening the internal sounds from the body parts…
Superiorities of Deep Extreme Learning Machines against Convolutional Neural Networks
Gokhan Altan, Yakup Kutlu
Deep Learning (DL) is a machine learning procedure for artificial intelligence that analyzes the input data in detail by increasing neuron sizes and number of the hidden layers. DL…
Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis
Gokhan Altan, Yakup Kutlu
Deep Learning (DL) is a two-step classification model that consists feature learning, generating feature representations using unsupervised ways and the supervised learning stage a…
Analysis of Relation between Motor Activity and Imaginary EEG Records
Enver Kaan Alpturk, Yakup Kutlu
Electroencephalography (EEG) signals signals are often used to learn about brain structure and to learn what thinking. EEG signals can be easily affected by external factors. For t…
Effect of Window Size for Detection of Abnormalities in Respiratory Sounds
Osman Balli, Yakup Kutlu
The recording of respiratory sounds was of significant benefit in the diagnosis of abnormalities in respiratory sounds. The duration of the sounds used in the diagnosis affects the…
Turkish Voice Commands based Chess Game using Gammatone Cepstral Coefficients
Gizem Karaca, Yakup Kutlu
This study was carried out to enable individuals with limited mobility skills to play chess in real time and to play games with the individuals around them without being under any…
Effect of Deep Learning Feature Inference Techniques on Respiratory Sounds
Osman Balli, Yakup Kutlu
Analysis of respiratory sounds increases its importance every day. Many different methods are available in the analysis, and new techniques are continuing to be developed to furthe…
Android Controlled Mobile Robot Design with IP Camera
Emre Demir, Ahmet Gokcen, Yakup Kutlu
In this study Arduino card based mobile robot design was realized. This robot can serve as a security robot, an auxiliary robot or a control robot. The designed robot has two opera…
Raspberry Pi Based Intelligent Robot that Recognizes and Places Puzzle Objects
Yakup Kutlu, Zülfü Alanoglu, Ahmet Gökçen +1
In this study; in order to diagnose congestive heart failure (CHF) patients, non-linear secondorder difference plot (SODP) obtained from raw 256 Hz sampled frequency and windowed r…
The Diagnosis of Asthma using Hilbert-Huang Transform and Deep Learning on Lung Sounds
Gökhan Altan, Yakup Kutlu, Adnan Özhan Pekmezci +1
Lung auscultation is the most effective and indispensable method for diagnosing various respiratory disorders by using the sounds from the airways during inspirium and exhalation u…
Analysis of Filter Size Effect In Deep Learning
Yunus Camgözlü, Yakup Kutlu
With the use of deep learning in many areas, how to improve this technology or how to develop the structure used more effectively and in a shorter time is an issue that is of inter…
On improving learning capability of ELM and an application to brain-computer interface
Apdullah Yayık, Yakup Kutlu, Gökhan Altan
As a type of pseudoinverse learning, extreme learning machine (ELM) is able to achieve high performances in a rapid pace on benchmark datasets. However, when it is applied to real…
Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure Prediction
Apdullah Yayık, Yakup Kutlu, Gökhan Altan
Our study concerns with automated predicting of congestive heart failure (CHF) through the analysis of electrocardiography (ECG) signals. A novel machine learning approach, regular…
Deep Learning with ConvNET Predicts Imagery Tasks Through EEG
Apdullah Yayık, Yakup Kutlu, Gökhan Altan
Deep learning with convolutional neural networks (ConvNets) have dramatically improved learning capabilities of computer vision applications just through considering raw data witho…
Performance Evaluation of Mobile Base Station under different Network Sizes on Cluster-Based Wireless Sensor Networks
Kadir Tohma, İpek Abasıkeleş Turgut, Cuma Celal Korkmaz +1
The position of the base station (BS) in wireless sensor networks (WSNs) has a significant impact on network lifetime. This paper suggests a mobile BS positioning algorithm for clu…
Grayscale Image Authentication using Neural Hashing
Yakup Kutlu, Apdullah Yayık
Many different approaches for neural network based hash functions have been proposed. Statistical analysis must correlate security of them. This paper proposes novel neural hashing…
Patient Specific Congestive Heart Failure Detection From Raw ECG signal
Yakup Kutlu, Apdullah Yayık, Esen Yıldırım +2
In this study; in order to diagnose congestive heart failure (CHF) patients, non-linear second-order difference plot (SODP) obtained from raw 256 Hz sampled frequency and windowed…