Berke Cansiz

According to our database, Berke Cansiz authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

Deep learning-driven feature engineering for lung disease classification through electrical impedance tomography imaging.

Berke Cansiz, Coskuvar Utkan Kilinc, Gorkem Serbes

Biomed. Signal Process. Control., 2025

A comprehensive approach for high intensity blood flow signal classification using multi-scale spectrogram fusion and tunable Q-factor wavelet analysis.

Berke Cansiz, M. Ikbal Karadeli, Nizamettin Aydin, Gorkem Serbes

Biomed. Signal Process. Control., 2025

Enhanced Embolic Signal Analysis through Ensemble Deep Learning Techniques Utilizing Transfer Learning and Layer Freezing Strategies.

M. Ikbal Karadeli, Berke Cansiz, Nizamettin Aydin, Gorkem Serbes

Adv. Intell. Syst., 2025

Hierarchical Cascade Deep Learning for EMG-Based Behavioral Biometrics: Gesture and Subject Classification.

Berke Cansiz, Hatice Vildan Dudukcu, Murat Taskiran, Nihan Kahraman

IEEE Access, 2025

Federated Learning for Human Activity Recognition with Environmental and Subject-Level Awareness.

Berke Cansiz, Murat Taskiran, Hatice Vildan Dudukcu, Nihan Kahraman

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

2024

Tunable Q-factor wavelet transform based lung signal decomposition and statistical feature extraction for effective lung disease classification.

Berke Cansiz, Coskuvar Utkan Kilinc, Gorkem Serbes

Comput. Biol. Medicine, 2024