Murat Tasyurek

Orcid: 0000-0001-5623-8577

Affiliations:
  • Kayseri University, Department of Computer Engineering, Kayseri, Turkey
  • Erciyes University, Department of Computer Engineering, Kayseri, Turkey


According to our database1, Murat Tasyurek authored at least 13 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
SDPH: a new technique for spatial detection of path holes from huge volume high-resolution raster images in near real-time.
J. Real Time Image Process., May, 2024

ODRP: a new approach for spatial street sign detection from EXIF using deep learning-based object detection, distance estimation, rotation and projection system.
Vis. Comput., February, 2024

DSHFS: a new hybrid approach that detects structures with their spatial location from large volume satellite images using CNN, GeoServer and TileCache.
Neural Comput. Appl., January, 2024

Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction.
Knowl. Based Syst., 2024

2023
A new deep learning approach based on grayscale conversion and DWT for object detection on adversarial attacked images.
J. Supercomput., December, 2023

RT-Droid: a novel approach for real-time android application analysis with transfer learning-based CNN models.
J. Real Time Image Process., June, 2023

A Novel YOLOv5 Deep Learning Model for Handwriting Detection and Recognition.
Int. J. Artif. Intell. Tools, June, 2023

Transfer learning and fine-tuned transfer learning methods' effectiveness analyse in the CNN-based deep learning models.
Concurr. Comput. Pract. Exp., February, 2023

A fine-tuned YOLOv5 deep learning approach for real-time house number detection.
PeerJ Comput. Sci., 2023

2022
4D-GWR: geographically, altitudinal, and temporally weighted regression.
Neural Comput. Appl., 2022

AMD-CNN: Android malware detection via feature graph and convolutional neural networks.
Concurr. Comput. Pract. Exp., 2022

2020
Büyük verilerin analizi için coğrafi ağırlıklı regresyon yaklaşımlarının geliştirilmesi (Developing geographically weighted regression approaches for analysis of big data)
PhD thesis, 2020

RNN-GWR: A geographically weighted regression approach for frequently updated data.
Neurocomputing, 2020


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