RNN-GWR: A geographically weighted regression approach for frequently updated data. - Murat Tasyurek; Mete Celik (Neurocomputing, 2020)

Büyük verilerin analizi için coğrafi ağırlıklı regresyon yaklaşımlarının geliştirilmesi (Developing geographically weighted regression approaches for analysis of big data) - Murat Tasyurek (2020)

AMD-CNN: Android malware detection via feature graph and convolutional neural networks. - Recep Sinan Arslan; Murat Tasyurek (Concurr. Comput. Pract. Exp., 2022)

4D-GWR: geographically, altitudinal, and temporally weighted regression. - Murat Tasyurek; Mete Celik (Neural Comput. Appl., 2022)

A fine-tuned YOLOv5 deep learning approach for real-time house number detection. - Murat Tasyürek; Celal Öztürk (PeerJ Comput. Sci., 2023)

Transfer learning and fine-tuned transfer learning methods' effectiveness analyse in the CNN-based deep learning models. - Celal Öztürk; Murat Tasyürek; Mehmet Ugur Türkdamar (Concurr. Comput. Pract. Exp., 2023)

A Novel YOLOv5 Deep Learning Model for Handwriting Detection and Recognition. - Maliki Moustapha; Murat Tasyurek; Celal Öztürk (Int. J. Artif. Intell. Tools, 2023)

RT-Droid: a novel approach for real-time android application analysis with transfer learning-based CNN models. - Murat Tasyurek; Recep Sinan Arslan (J. Real Time Image Process., 2023)

A new deep learning approach based on grayscale conversion and DWT for object detection on adversarial attacked images. - Murat Tasyurek; Ertugrul Gul (J. Supercomput., 2023)

Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction. - Resul Özdemir; Murat Tasyürek; Veysel Aslantas (Knowl. Based Syst., 2024)

DSHFS: a new hybrid approach that detects structures with their spatial location from large volume satellite images using CNN, GeoServer and TileCache. - Murat Tasyürek; Mehmet Ugur Türkdamar; Celal Öztürk (Neural Comput. Appl., 2024)

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

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

DGAG: A Novel Approach That Detects Green Areas With Geolocation From Large-Scale Satellite Imaging Instance Segmentation and GIS Application. - Murat Tasyürek; Fatma Nur Kiliçkaya; Celal Öztürk (Trans. GIS, 2024)

EL-NRF: Enhancing ensemble learning for regression with a noise reduction framework. - Resul Özdemir; Murat Tasyürek; Veysel Aslantas (Expert Syst. Appl., 2025)

BBD: a new hybrid method for geospatial building boundary detection from huge size satellite imagery. - Murat Tasyurek (Multim. Tools Appl., 2025)