Showing results 1 to 20 of 35
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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 |
10-May-2024 | Advancements in PCB Components Recognition Using WaferCaps: A Data Fusion and Deep Learning Approach | Starodubov, D; Danishvar, S; Abu Ebayyeh, AARM; Mousavi, A |
24-Jun-2024 | Automatic Detection of Acute Leukemia (ALL and AML) Utilizing Customized Deep Graph Convolutional Neural Networks | Zare, L; Rahmani, M; Khaleghi, N; Sheykhivand, S; 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 |
3-Jun-2024 | An Automatic Lie Detection Model Using EEG Signals Based on the Combination of Type 2 Fuzzy Sets and Deep Graph Convolutional Networks | Rahmani, M; Mohajelin, F; Khaleghi, N; Sheykhivand, S; Danishvar, S |
1-Sep-2023 | Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network | Khoshkhabar, M; Meshgini, S; Afrouzian, R; Danishvar, S |
10-Sep-2024 | Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks | Mohajelin, F; Sheykhivand, S; Shabani, A; Danishvar, M; Danishvar, S; Lahijan, LZ |
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 |