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Hamidullah Binol
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2020 – today
- 2022
- [j3]Hamidullah Binol
, M. Khalid Khan Niazi, Charles Elmaraghy, Aaron C. Moberly, Metin N. Gurcan
OtoXNet - automated identification of eardrum diseases from otoscope videos: a deep learning study for video-representing images. Neural Comput. Appl. 34(14): 12197-12210 (2022) - 2020
- [j2]Abhaykumar Kumbhar
Heuristic approach for jointly optimising FeICIC and UAV locations in multi-tier LTE-advanced public safety HetNet. IET Commun. 14(20): 3585-3598 (2020) - [c8]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
Decision fusion on image analysis and tympanometry to detect eardrum abnormalities. Computer-Aided Diagnosis 2020 - [c7]Hamidullah Binol, M. Khalid Khan Niazi, Alisha Plotner, Jennifer Sopkovich, Benjamin Kaffenberger
A multidimensional scaling and sample clustering to obtain a representative subset of training data for transfer learning-based rosacea lesion identification. Computer-Aided Diagnosis 2020 - [i2]Abhaykumar Kumbhar, Hamidullah Binol, Simran Singh, Ismail Güvenç, Kemal Akkaya:
Heuristic Approach for Jointly Optimizing FeICIC and UAV Locations in Multi-Tier LTE-Advanced Public Safety HetNet. CoRR abs/2001.02760 (2020)
2010 – 2019
- 2019
- [c6]Abhaykumar Kumbhar
Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet. RWS 2019: 1-4 - 2018
- [c5]Hamidullah Binol, Eyuphan Bulut, Kemal Akkaya, Ismail Güvenç:
Time Optimal Multi-UAV Path Planning for Gathering its Data from Roadside Units. VTC Fall 2018: 1-5 - [i1]Abhaykumar Kumbhar, Hamidullah Binol, Ismail Güvenç, Kemal Akkaya:
Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet. CoRR abs/1809.00361 (2018) - 2017
- [c4]Sevcan Aytaç Korkmaz, Hamidullah Binol, Aysegul Akcicek, Mehmet Fatih Korkmaz:
A expert system for stomach cancer images with artificial neural network by using HOG features and linear discriminant analysis: HOG_LDA_ANN. SISY 2017: 327-332 - [c3]Sevcan Aytaç Korkmaz, Aysegul Akcicek, Hamidullah Binol, Mehmet Fatih Korkmaz:
Recognition of the stomach cancer images with probabilistic HOG feature vector histograms by using HOG features. SISY 2017: 339-342 - 2016
- [b1]Hamidullah Binol:
Fukunaga-Koontz dönüşümü tabanlı algoritmaların geliştirilmesi ve hedef tespiti-sınıflandırma uygulamaları (Development of Fukunaga-Koontz transform based algorithms and target detection-classification applications). Yıldız Technical University, Turkey, 2016 - 2015
- [j1]Hamidullah Binol, Gökhan Bilgin
Kernel Fukunaga-Koontz Transform Subspaces for Classification of Hyperspectral Images With Small Sample Sizes. IEEE Geosci. Remote. Sens. Lett. 12(6): 1287-1291 (2015) - [c2]Huseyin Cukur, Hamidullah Binol, Abdullah Bal:
A heuristic-based band selection approach to improve classification accuracy in hyperspectral images. SIU 2015: 1769-1772 - 2012
- [c1]Hamidullah Binol, Abdullah Bal, Semih Dinç
Classification on hyperspectral images using enhanced covariance descriptor. SIU 2012: 1-4
Coauthor Index
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