• PERSON INVOLVED
    PRODUCT NAME AN AUTOMATED DIAGNOSIS PROCEDURE FOR COVID-19 USING CHEST X-RAY IMAGES BY UTILIZING HYBRID CNN-BI-LSTM DEEP LEARNING MODELS
    FILING COUNTRY Malaysia
    REG. NUMBER  
    INTELLECTUAL STATUS Registered Copyright
    FILE DATE  
    IP TYPE Copyright
    YEAR APPLY  
    DEPARTMENT  
    Page 
     of 1
    Records 1 to 5 of 5
    INTELLECTUAL PPROPERTY
    PERSON TYPE
    STAF NO / MATRIC NO
    OWNER NAME
    EQUITY PERCENTAGE
    NOTEL HP
    AN AUTOMATED DIAGNOSIS PROCEDURE FOR COVID-19 USING CHEST X-RAY IMAGES BY UTILIZING HYBRID CNN-BI-LSTM DEEP LEARNING MODELS Staf AIMI SALIHAH BINTI ABDUL NASIR, 861210-04-5050, 0102141 Universiti Malaysia Perlis    
    AN AUTOMATED DIAGNOSIS PROCEDURE FOR COVID-19 USING CHEST X-RAY IMAGES BY UTILIZING HYBRID CNN-BI-LSTM DEEP LEARNING MODELS Staf ABDUL HAMID BIN ADOM, 710205-10-5719, 0100285 Universiti Malaysia Perlis    
    AN AUTOMATED DIAGNOSIS PROCEDURE FOR COVID-19 USING CHEST X-RAY IMAGES BY UTILIZING HYBRID CNN-BI-LSTM DEEP LEARNING MODELS Staf HANIZA BINTI YAZID, 820318-09-5024, 0101350 Universiti Malaysia Perlis    
    AN AUTOMATED DIAGNOSIS PROCEDURE FOR COVID-19 USING CHEST X-RAY IMAGES BY UTILIZING HYBRID CNN-BI-LSTM DEEP LEARNING MODELS Staf ABDUL SYAFIQ BIN ABDULL SUKOR, 871011-02-5881, 0102041 Universiti Malaysia Perlis    
    AN AUTOMATED DIAGNOSIS PROCEDURE FOR COVID-19 USING CHEST X-RAY IMAGES BY UTILIZING HYBRID CNN-BI-LSTM DEEP LEARNING MODELS Staf MARNI AZIRA BINTI MARKOM, 830112-01-6246, 0101948 Universiti Malaysia Perlis    
    Page 
     of 1
    Records 1 to 5 of 5
    ©2014 UniMAP