Ahmet Buğra Koku

E-mail

kbugra@metu.edu.tr

Department

Department of Mechanical Engineering

ORCID

0000-0002-4783-1317

Scopus Author ID

6602650471

Web of Science Researcher ID

B-1050-2016

Mathematical and Machine Learning Approaches for Classification of Protein Secondary Structure Elements from Cα Coordinates Sekmen, Ali; Al Nasr, Kamal; Bilgin, Bahadir; Koku, Ahmet Buğra; Jones, Christopher (2023-05-31) Determining Secondary Structure Elements (SSEs) for any protein is crucial as an intermediate step for experimental tertiary structure determination. SSEs are identified using popular tools such as DSSP and STRIDE. These t...
Robust feature space separation for deep convolutional neural network training Sekmen, Ali; Parlaktuna, Mustafa; Abdul-Malek, Ayad; Erdemir, Erdem; Koku, Ahmet Buğra (2021-11-01) This paper introduces two deep convolutional neural network training techniques that lead to more robust feature subspace separation in comparison to traditional training. Assume that dataset has M labels. The first me...
Deep Learning for Assignment of Protein Secondary Structure Elements from C Coordinates Nasr, Kamal Al; Sekmen, Ali; Bilgin, Bahadir; Jones, Christopher; Koku, Ahmet Buğra (2021-01-01) © 2021 IEEE.This paper presents a Deep Neural network (DNN) system that uses a large set of geometric and categorical features for classification of secondary structure elements (SSEs) in the protein's trace that consists ...
Automatic Extraction of the Non-Urban Roads from Satellite Images using Artificial Neural Network Ghaiziani, Matin; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (2020-10-25) Road detection from the satellite images can be considered as a classification process in which pixels are divided into the road and non-road classes. In this research, an automatic road extraction using an artificial neur...
Multiple human trajectory prediction and cooperative navigation modeling in crowded scenes Hacinecipoglu, Akif; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (Springer Science and Business Media LLC, 2020-07-01) As mobile robots start operating in environments crowded with humans, human-aware navigation is required to make these robots navigate safely, efficiently and in socially compliant manner. People navigate in an interactive...
Pose invariant people detection in point clouds for mobile robots Hacinecipoglu, Akif; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (2020-05-01) To be able to navigate in socially complaint fashion and safely, people detection is a very important ability for robots deployed in our social environments. However, it is a challenging task since humans exhibit various p...
Fast head detection in arbitrary poses using depth information HACINECİPOĞLU, AKİF; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (Emerald, 2020-03-14) Purpose
Slippage Estimation of Two Wheeled Mobile Robot Using Recurrent Deep Neural Network Özçil, Osmail; Koku, Ahmet Buğra; Konukseven, Erhan İlhan (2019-12-14) Position, velocity and acceleration information are important for mobile robots. Due to the wheel slippages, encoder data may not be reliable and IMU data also contains a cumulative error. Errors of inertial measurements a...
Pose Invariant People Detection in Point Clouds for Mobile Robots Hacınecipoğlu, Akif; Konukseven, Erhan İlhan; Koku, Ahmet Buğra (2019-10-28) To be able to navigate in socially complaint fashion and safely, people detection is a very important ability for robots deployed in our social environments. However, it is a challenging task since humans exhibit various p...
CUR Decompositions, Similarity Matrices, and Subspace Clustering Aldroubi, Akram; Hamm, Keaton; Koku, Ahmet Buğra; Sekmen, Ali (2019-01-21) A general framework for solving the subspace clustering problem using the CUR decomposition is presented. The CUR decomposition provides a natural way to construct similarity matrices for data that come from a union of unk...

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