Showing results 18 to 35 of 35
< previous
| Issue Date | Title | Author(s) |
| - | GaborPDNet: Gabor Transformation and Deep Neural Network for Parkinson’s Disease Detection Using EEG Signals | Loh, HW; Ooi, CP; Palmer, E; Barua, PD; Dogan, S; Tuncer, T; Baygin, M; Acharya, UR |
| 2022-12-15 | Hamlet-Pattern-Based Automated COVID-19 and Influenza Detection Model Using Protein Sequences. | Erten, M; Acharya, MR; Kamath, AP; Sampathila, N; Bairy, GM; Aydemir, E; Barua, PD; Baygin, M; Tuncer, I; Dogan, S; Tuncer, T |
| 2022-02-09 | Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection. | Aydemir, E; Yalcinkaya, MA; Barua, PD; Baygin, M; Faust, O; Dogan, S; Chakraborty, S; Tuncer, T; Acharya, UR |
| 2022-01-01 | Mental performance classification using fused multilevel feature generation with EEG signals | Aydemir, E; Baygin, M; Dogan, S; Tuncer, T; Barua, PD; Chakraborty, S; Faust, O; Arunkumar, N; Kaysi, F; Acharya, UR |
| 2023-04-01 | Most complicated lock pattern-based seismological signal framework for automated earthquake detection | Gokhan Ozkaya, S; Baygin, N; Barua, PD; Singh, AR; Bajaj, M; Baygin, M; Dogan, S; Tuncer, T; Tan, RS; Rajendra Acharya, U |
| 2021-12-08 | Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images. | Barua, PD; Chan, WY; Dogan, S; Baygin, M; Tuncer, T; Ciaccio, EJ; Islam, N; Cheong, KH; Shahid, ZS; Acharya, UR |
| 2023 | Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals. | Barua, PD; Aydemir, E; Dogan, S; Kobat, MA; Demir, FB; Baygin, M; Tuncer, T; Oh, SL; Tan, R-S; Acharya, UR |
| 2021-09-06 | Novel automated PD detection system using aspirin pattern with EEG signals | Barua, PD; Dogan, S; Tuncer, T; Baygin, M; Acharya, UR |
| 2022-07-01 | Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts | Dogan, S; Barua, PD; Baygin, M; Chakraborty, S; Ciaccio, EJ; Tuncer, T; Abd Kadir, KA; Md Shah, MN; Azman, RR; Lee, CC; Ng, KH; Acharya, UR |
| 2022-09 | Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images. | Kaplan, E; Altunisik, E; Ekmekyapar Firat, Y; Datta Barua, P; Dogan, S; Baygin, M; Burak Demir, F; Tuncer, T; Palmer, E; Tan, R-S; Yu, P; Soar, J; Fujita, H; Rajendra Acharya, U |
| 2023-06 | PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images. | Muezzinoglu, T; Baygin, N; Tuncer, I; Barua, PD; Baygin, M; Dogan, S; Tuncer, T; Palmer, EE; Cheong, KH; Acharya, UR |
| 2023-12 | PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRI. | Kaplan, E; Chan, WY; Altinsoy, HB; Baygin, M; Barua, PD; Chakraborty, S; Dogan, S; Tuncer, T; Acharya, UR |
| 2023-06 | Primate brain pattern-based automated Alzheimer's disease detection model using EEG signals. | Dogan, S; Baygin, M; Tasci, B; Loh, HW; Barua, PD; Tuncer, T; Tan, R-S; Acharya, UR |
| 2021-11 | PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition | Dogan, A; Akay, M; Barua, PD; Baygin, M; Dogan, S; Tuncer, T; Dogru, AH; Acharya, UR |
| 2023-07-01 | QLBP: Dynamic patterns-based feature extraction functions for automatic detection of mental health and cognitive conditions using EEG signals | Tasci, G; Gun, MV; Keles, T; Tasci, B; Barua, PD; Tasci, I; Dogan, S; Baygin, M; Palmer, EE; Tuncer, T; Ooi, CP; Acharya, UR |
| 2023-10-01 | Swin-LBP: a competitive feature engineering model for urine sediment classification | Erten, M; Barua, PD; Tuncer, I; Dogan, S; Baygin, M; Tuncer, T; Tan, RS; Acharya, UR |
| 2022-12-31 | Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography | Tuncer, I; Barua, PD; Dogan, S; Baygin, M; Tuncer, T; Tan, R-S; Yeong, CH; Acharya, UR |
| 2022-10-20 | TMP19: A Novel Ternary Motif Pattern-Based ADHD Detection Model Using EEG Signals. | Barua, PD; Dogan, S; Baygin, M; Tuncer, T; Palmer, EE; Ciaccio, EJ; Acharya, UR |
