Hamidullah Binol

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

Hamidullah Binol, M. Khalid Khan Niazi, Charles Elmaraghy, Aaron C. Moberly, Metin N. Gurcan

Neural Comput. Appl., 2022

2020

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

Abhaykumar Kumbhar, Hamidullah Binol, Simran Singh, Ismail Güvenç, Kemal Akkaya

IET Commun., 2020

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

Abhaykumar Kumbhar, Hamidullah Binol, Simran Singh, Ismail Güvenç, Kemal Akkaya

CoRR, 2020

A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification.

Hamidullah Binol, M. Khalid Khan Niazi, Alisha Plotner, Jennifer Sopkovich, Benjamin Kaffenberger, Metin N. Gurcan

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Decision fusion on image analysis and tympanometry to detect eardrum abnormalities.

Hamidullah Binol, Aaron C. Moberly, M. Khalid Khan Niazi, Garth Essig, Jay Shah, Charles Elmaraghy, Theodoros Teknos, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet.

Abhaykumar Kumbhar, Hamidullah Binol, Ismail Güvenç, Kemal Akkaya

Proceedings of the IEEE Radio and Wireless Symposium, 2019

2018

Time Optimal Multi-UAV Path Planning for Gathering its Data from Roadside Units.

Hamidullah Binol, Eyuphan Bulut, Kemal Akkaya, Ismail Güvenç

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.

Sevcan Aytaç Korkmaz, Hamidullah Binol, Aysegul Akcicek, Mehmet Fatih Korkmaz

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.

Sevcan Aytaç Korkmaz, Aysegul Akcicek, Hamidullah Binol, Mehmet Fatih Korkmaz

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)

Hamidullah Binol

PhD thesis, 2016

2015

Kernel Fukunaga-Koontz Transform Subspaces for Classification of Hyperspectral Images With Small Sample Sizes.

Hamidullah Binol, Gökhan Bilgin, Semih Dinç, Abdullah Bal

IEEE Geosci. Remote. Sens. Lett., 2015

A heuristic-based band selection approach to improve classification accuracy in hyperspectral images.

Huseyin Cukur, Hamidullah Binol, Abdullah Bal

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2012

Classification on hyperspectral images using enhanced covariance descriptor.

Hamidullah Binol, Abdullah Bal, Semih Dinç

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012