S. No. |
Date & Time |
Venue |
Paper ID |
Title of Paper |
1 |
13-04-2023 9:30 AM -9:55 AM |
Track 4 |
CSUG115 |
ANALYSIS OF SMS SPAM CLASSIFICATION USING MACHINE LEARNING AND DEEP LEARNING |
2 |
13-04-2023 9:55 AM -10:20 AM |
Track 4 |
CSUG143 |
LEUKEMIA DETECTION USING THE K MEANS ALGORITHM |
3 |
13-04-2023 10:20 AM -10:45 AM |
Track 4 |
CSUG141 |
EASY LEARN USING ML |
4 |
13-04-2023 10:55 AM -11:20 AM |
Track 4 |
CSUG125 |
BLOCK CHAIN BASED CROWD FUNDING APPLICATION USING SMART CONTRACT |
5 |
13-04-2023 11:20 AM -11:45 AM |
Track 4 |
CSUG140 |
BEHAVIOUR ANALYSIS OF PEOPLE IN WHATSAPP MESSAGE USING NLP WITH USER CLUSTERING |
6 |
13-04-2023 11:45 AM -12:05 PM |
Track 4 |
CSUG127 |
COVID-19 FROM COUGH SOUND AND CHEST XRAY USING MACHINE LEARNING AND DEEP LEARNING |
7 |
13-04-2023 12:05 PM -12:30 PM |
Track 4 |
CSUG135 |
EFFECTIVE MODE TO DETECT COPY MOVE IMAGE FORGERY USING CNN |
8 |
13-04-2023 12:30 PM -12:50 PM |
Track 4 |
CSUG110 |
REAL WORLD APPLICATIONS OF DATA STRUCTURES |
9 |
13-04-2023 12:50 PM -1:15 PM |
Track 4 |
CSPG152 |
SURVEY ON OBJECT DETECTION USING DEEP REINFORCEMENT LEARNING |