• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 17 matches

• 2024
• 
  Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
  Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach. Biomed. Signal Process. Control. 96: 106594 (2024)
• 
  Seyed Danial Alizadeh Javaheri, Reza Ghaemi, Hossein Monshizadeh Naeen:
  An autonomous architecture based on reinforcement deep neural network for resource allocation in cloud computing. Computing 106(2): 371-403 (2024)
• 
  Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Prasad N. Paradkar, Ru San Tan, U. Rajendra Acharya, Asim Bhatti:
  Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review. CoRR abs/2409.17516 (2024)
• 2023
• 
  Masoud Alizadeh, Danial Sadrian Zadeh, Behzad Moshiri, Allahyar Montazeri:
  Development of a Customer Churn Model for Banking Industry Based on Hard and Soft Data Fusion. IEEE Access 11: 29759-29768 (2023)
• 
  Danial Alizadeh, Hesam Omranpour:
  EM-CSP: An efficient multiclass common spatial pattern feature method for speech imagery EEG signals recognition. Biomed. Signal Process. Control. 84: 104933 (2023)
• 
  Elham Nasarian, Danial Sharifrazi, Saman Mohsenirad, Kwok Tsui, Roohallah Alizadehsani:
  AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach. CoRR abs/2308.15339 (2023)
• 
  Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
  Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis. CoRR abs/2312.08654 (2023)
• 2022
• 
  Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor:
  FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model. CoRR abs/2202.04645 (2022)
• 2021
• 
  Danial Alizadeh, Ali Asghar Alesheikh, Mohammad Sharif:
  Prediction of vessels locations and maritime traffic using similarity measurement of trajectory. Ann. GIS 27(2): 151-162 (2021)
• 
  Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
  Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 68: 102622 (2021)
• 
  Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
  Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 104:1-104:24 (2021)
• 
  Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
  Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR abs/2102.06388 (2021)
• 
  Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya:
  Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR abs/2102.06883 (2021)
• 
  Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam:
  CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR abs/2104.08954 (2021)
• 
  Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi:
  Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods. CoRR abs/2104.15007 (2021)
• 
  Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani, Danial Sharifrazi, Amir Mosavi:
  A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis. CoRR abs/2107.06179 (2021)
• 2017
• 
  Mohammad Taghi Sabet, Hamid Reza Mohammadi Daniali, Alireza Fathi, Ebrahim Alizadeh:
  Experimental analysis of a low-cost dead reckoning navigation system for a land vehicle using a robust AHRS. Robotics Auton. Syst. 95: 37-51 (2017)