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Kamil Dimililer
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2020 – today
- 2024
- [j9]Kamil Dimililer, Hanifa Teimourian, Fadi M. Al-Turjman:
Radio galaxies classification system using machine learning techniques in the IoT Era. J. Exp. Theor. Artif. Intell. 36(3): 357-369 (2024) - 2023
- [j8]Devrim Kayali, Nemah Abu Shama, Suleyman Asir, Kamil Dimililer:
Machine learning-based models for the qualitative classification of potassium ferrocyanide using electrochemical methods. J. Supercomput. 79(11): 12472-12491 (2023) - 2022
- [j7]Boran Sekeroglu, Yoney Kirsal Ever, Kamil Dimililer, Fadi M. Al-Turjman:
Comparative Evaluation and Comprehensive Analysis of Machine Learning Models for Regression Problems. Data Intell. 4(3): 620-652 (2022) - [j6]Kamil Dimililer:
DCT-based medical image compression using machine learning. Signal Image Video Process. 16(1): 55-62 (2022) - [j5]Hanifa Teimourian, Amir Teimourian, Kamil Dimililer, Fadi M. Al-Turjman:
The potential of wind energy via an intelligent IoT-oriented assessment. J. Supercomput. 78(4): 5221-5240 (2022) - 2021
- [j4]Kamil Dimililer, Hilmi Dindar, Fadi Al-Turjman:
Deep learning, machine learning and internet of things in geophysical engineering applications: An overview. Microprocess. Microsystems 80: 103613 (2021) - [c12]Hedi Syamand Azat, Boran Sekeroglu, Kamil Dimililer:
A Pre-study on the Layer Number Effect of Convolutional Neural Networks in Brain Tumor Classification. INISTA 2021: 1-6 - [c11]Kamil Dimililer, Boran Sekeroglu:
The Effect of Discrete Cosine Transform on COVID-19 Differentiation from Chest X-Ray Images: A Preliminary Study. INISTA 2021: 1-6 - [c10]Devrim Kayali, Kamil Dimililer, Boran Sekeroglu:
Face Mask Detection and Classification for COVID-19 using Deep Learning. INISTA 2021: 1-6
2010 – 2019
- 2019
- [j3]Adil Amirjanov, Kamil Dimililer:
Image compression system with an optimisation of compression ratio. IET Image Process. 13(11): 1960-1969 (2019) - [c9]Yoney Kirsal Ever, Kamil Dimililer, Boran Sekeroglu:
Comparison of Machine Learning Techniques for Prediction Problems. AINA Workshops 2019: 713-723 - [c8]Yoney Kirsal Ever, Boran Sekeroglu, Kamil Dimililer:
Classification Analysis of Intrusion Detection on NSL-KDD Using Machine Learning Algorithms. MobiWIS 2019: 111-122 - 2017
- [c7]Kamil Dimililer, Yoney Kirsal Ever, Fulden Ergun:
A preliminary framework using bpnn for performability modelling and analyses of a kerberos server. ICACCI 2017: 698-700 - [c6]Kamil Dimililer, Idoko John Bush:
Automated Classification of Fruits: Pawpaw Fruit as a Case Study. ICMMI 2017: 365-374 - [c5]Hamit Altiparmak, Mohamad Al Shahadat, Ehsan Kiani, Kamil Dimililer:
Fuzzy classification for strawberry diseases-infection using machine vision and soft-computing techniques. ICMV 2017: 106961N - 2013
- [j2]Kamil Dimililer:
Backpropagation Neural Network Implementation for Medical Image Compression. J. Appl. Math. 2013: 453098:1-453098:8 (2013) - 2011
- [c4]Kamil Dimililer, Cemal Kavalcioglu:
Gaussian Noise and Haar Wavelet Transform Image Compression on Transmission of Dermatological Images. ACC (3) 2011: 357-364 - [c3]Kamil Dimililer, Cemal Kavalcioglu:
Gaussian Noise and Discrete Cosine Transform Image Compression on Transmission of Dermatological Images. MDA 2011: 78-90
2000 – 2009
- 2009
- [j1]Adnan Khashman, Kamil Dimililer:
Intelligent System for Medical X-Rays Compression. Trans. Mass Data Anal. Images Signals 1(1): 3-14 (2009) - [c2]Adnan Khashman, Kamil Dimililer:
Optimum DCT Compression of Medical Images using Neural Networks. ICEIS (2) 2009: 90-95 - 2007
- [c1]Adnan Khashman, Kamil Dimililer:
Intelligent System for Image Compression. ICEIS (2) 2007: 451-454 - [p1]Adnan Khashman, Boran Sekeroglu, Kamil Dimililer:
Rotated Coin Recognition Using Neural Networks. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 290-297
Coauthor Index
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last updated on 2024-04-29 21:20 CEST by the dblp team
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