Showing results 1 to 20 of 31
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| Issue Date | Title | Author(s) |
| 24-Jan-2023 | Acute Leukemia Diagnosis Based on Images of Lymphocytes and Monocytes Using Type-II Fuzzy Deep Network | Ansari, S; Navin, AH; Babazadeh Sangar, A; Vaez Gharamaleki, J; Danishvar, S |
| 11-Jul-2022 | Automatic Detection of Driver Fatigue Based on EEG Signals Using a Developed Deep Neural Network | Sheykhivand, S; Rezaii, TY; Mousavi, Z; Meshgini, S; Makouei, S; Farzamnia, A; Danishvar, S; Teo Tze Kin, K |
| 12-May-2023 | Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks | Baradaran, F; Farzan, A; Danishvar, S; Sheykhivand, S |
| 1-Sep-2023 | Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network | Khoshkhabar, M; Meshgini, S; Afrouzian, R; Danishvar, S |
| 13-Oct-2022 | Automatically Identified EEG Signals of Movement Intention Based on CNN Network (End-To-End) | Shahini, N; Bahrami, Z; Sheykhivand, S; Marandi, S; Danishvar, M; Danishvar, S; Roosta, Y |
| 29-Mar-2022 | Boosting Iris Recognition by Margin-Based Loss Functions | Alinia Lat, R; Danishvar, S; Heravi, H; Danishvar, M |
| 3-Feb-2021 | Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model | Danishvar, M; Danishvar, S; Souza, F; Sousa, P; Mousavi, A |
| 17-Feb-2024 | Concurrent Learning Approach for Estimation of Pelvic Tilt from Anterior–Posterior Radiograph | Jodeiri, A; Seyedarabi, H; Danishvar, S; Shafiei, SH; Sales, JG; Khoori, M; Rahimi, S; Mortazavi, SMJ |
| 14-May-2023 | Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals | Baradaran, F; Farzan, A; Danishvar, S; Sheykhivand, S |
| 8-Jan-2023 | A Customized Efficient Deep Learning Model for the Diagnosis of Acute Leukemia Cells Based on Lymphocyte and Monocyte Images | Ansari, S; Navin, AH; Sangar, AB; Gharamaleki, JV; Danishvar, S |
| 28-Jun-2020 | Data-driven versus conventional N<inf>2</inf>O EF quantification methods in wastewater; how can we quantify reliable annual EFs? | Vasilaki, V; Danishvar, S; Mousavi, A; Katsou, E |
| 29-Sep-2023 | Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach | Peivandi, M; Ardabili, SZ; Sheykhivand, S; Danishvar, S |
| 30-Jun-2022 | DEEP MULTI-MODAL SCHIZOPHRENIA DISORDER DIAGNOSIS VIA A GRU-CNN ARCHITECTURE | Masoudi, B; Danishvar, S |
| 17-Feb-2024 | The Design of a Photonic Crystal Fiber for Hydrogen Cyanide Gas Detection | Pourfathi Fard, A; Makouei, S; Danishvar, M; Danishvar, S |
| 12-May-2023 | Developing an Artificial Intelligence Solution to Autosegment the Edentulous Mandibular Bone for Implant Planning | Moufti, MA; Trabulsi, N; Ghousheh, M; Fattal, T; Ashira, A; Danishvar, S |
| 11-Jul-2022 | Diagnosis of liver disease by computer- assisted imaging techniques: A literature review | Kalejahi, BK; Meshgini, S; Danishvar, S; Khorram, S |
| 21-Mar-2024 | EEG-based functional connectivity analysis of brain abnormalities: A systematic review study | Khaleghi, N; Hashemi, S; Peivandi, M; Zafarmandi Ardabili, S; Behjati, M; Sheykhivand, S; Danishvar, S |
| 14-Oct-2021 | Energy-aware flowshop scheduling: a case for AI-driven sustainable manufacturing | Danishvar, M; Danishvar, S; Katsou, E; Mansouri, SA; Mousavi, A |
| 22-Mar-2024 | Enhancing Readability and Detection of Age-Related Macular Degeneration Using Optical Coherence Tomography Imaging: An AI Approach | Alenezi, A; Alhamad, H; Brindhaban, A; Amizadeh, Y; Jodeiri, A; Danishvar, S |
| 20-Oct-2021 | Generative adversarial network image synthesis method for skin lesion generation and classification | Mutepfe, F; Kalejahi, BK; Meshgini, S; Danishvar, S |
