Slični predmeti: AUTOMATIC HAND GESTURE RECOGNITION USING SEMANTIC SEGMENTATION AND DEEP LEARNING /
- RECOGNITION OF BANGLA SIGN LANGUAGE LETTERS AND WORDS USING HAND GESTURES /
- AUTOMATIC ROI SELECTION FOR MULTI - MODAL MEDICAL IMAGES /
- ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
- DYNAMIC HAND GESTURE RECOGNITION FOR INTERPRETING SIGN LANGUAGE USING MOST PERTINENT JOINT RELATIVE ANGLES /
- A COMPREHENSIVE STUDY OF DEEP LEARNING, TEMPORAL ANALYSIS AND SEMANTIC-ANOMALY SUSION FOR IOT AND IIOT INTRUSION DETECTION /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Tema: Electrical and Electronic, Communication Engineering
Tema: This Thesis Paper of EECE in M.Sc Program.
- PERFORMANCE INVESWTIGATION OF FSO COMMUNICATION SYSTEM UNDER SUB-TROPICAL WEATHER CONDITION OF BANGLADESH /
- EFFECT OF WASTE POLYPROPYLE PLASTIC ON SHRINKAGE PROPERTIES OF CONCRETE /
- INVESTIGATION OF LIGHTENING STROKES DENSITY OVER BANGLADESH AND ITS INFLUENCE ON IONOSPHERIC IRREGULARITIES /
- AUTOMATIC HAND GESTURE RECOGNITION USING SEMANTIC SEGMENTATION AND DEEP LEARNING /