Hamidullah Binol

Orcid: 0000-0003-2537-8280

According to our database1, Hamidullah Binol authored at least 13 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2022
OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images.
Neural Comput. Appl., 2022

2020
Heuristic approach for jointly optimising FeICIC and UAV locations in multi-tier LTE-advanced public safety HetNet.
IET Commun., 2020

Heuristic Approach for Jointly Optimizing FeICIC and UAV Locations in Multi-Tier LTE-Advanced Public Safety HetNet.
CoRR, 2020

A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Decision fusion on image analysis and tympanometry to detect eardrum abnormalities.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet.
Proceedings of the IEEE Radio and Wireless Symposium, 2019

2018
Time Optimal Multi-UAV Path Planning for Gathering its Data from Roadside Units.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2017
A expert system for stomach cancer images with artificial neural network by using HOG features and linear discriminant analysis: HOG_LDA_ANN.
Proceedings of the 15th IEEE International Symposium on Intelligent Systems and Informatics, 2017

Recognition of the stomach cancer images with probabilistic HOG feature vector histograms by using HOG features.
Proceedings of the 15th IEEE International Symposium on Intelligent Systems and Informatics, 2017

2016
Fukunaga-Koontz dönüşümü tabanlı algoritmaların geliştirilmesi ve hedef tespiti-sınıflandırma uygulamaları (Development of Fukunaga-Koontz transform based algorithms and target detection-classification applications)
PhD thesis, 2016

2015
Kernel Fukunaga-Koontz Transform Subspaces for Classification of Hyperspectral Images With Small Sample Sizes.
IEEE Geosci. Remote. Sens. Lett., 2015

A heuristic-based band selection approach to improve classification accuracy in hyperspectral images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2012
Classification on hyperspectral images using enhanced covariance descriptor.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012


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