We are pleased to invite you to attend the WCSC 2024 in Online Mode through Google Meet at Artificial Intelligence Research Centre, Babu Banarasi Das University, Lucknow, India. This page includes all of the information on the WCSC 2024 program schedule. Click each date below for the WCSC 2024 daily program schedule.
As a Technical Session Presenter, please find detailed instructions below to assist you with logging in and navigating for your technical paper session. These instructions must be read prior to logging in to your session/keynotes.
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Opening Ceremony and Keynote Talks |
10:00 – 12:00 (Indian Standard Time) | Join |
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Inauguration (in Online Mode via Google Meet) |
10:00 - 10:30 (Indian Standard Time) | |
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Keynote Talk 1(in Online Mode via Google Meet) Speaker: Prof. Vivek Shrivastava, National Institute of Technology Uttarakhand |
10:30 - 11:15 (Indian Standard Time) | |
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TS01: Data Analytics (in Online Mode via Google Meet) |
14:00 – 15:00 (Indian Standard Time) | Join |
103 |
Unraveling Economic Patterns: A Deep Dive into the GDP, Inflation, and Unemployment Trends of European Countries |
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198 |
New Analytical Approaches and Practical Implications in Senegalese Clinical Data |
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228 |
Proposing Novel Mathematical Models of Question Difficulty and User Ability for Adaptive Testing System |
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246 |
Strategic Network Intervention: Simulating and Blocking Contagion Spread using Dominating Sets. |
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TS02: Emerging Techniques (in Online Mode via Google Meet) |
14:00 – 15:00 (Indian Standard Time) | Join |
216 |
Advancements in Spoof Attack Detection for Iris Recognition Systems: A Review |
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263 |
Comparative Analysis of Different Concept Extraction Methods on Earnings Call Transcripts |
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299 |
MEDI PORTAL – Integrated Health Portal For Personalized Healthcare Management |
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349 |
Cloud Burst Prediction System using Machine Learning Model |
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TS03: Machine Learning and Image Processing (in Online Mode via Google Meet) |
14:00 – 15:00 (Indian Standard Time) | Join |
205 |
Limitations of Existing Deep Learning Models for Cultural Image Data: A Case Study of Indian Petroglyphs |
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207 |
Enhancing Human Diseases Prediction with Nail Images using VGG16 |
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231 |
Estimation of Software Reliability Growth Modeling using MLE and LSE for Prediction of Reliability Function |
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319 |
Alarm - Bulance: Emergency Accident Alarming System |
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TS04: Smart Computing (in Online Mode via Google Meet) |
11:30 – 12:30 (Indian Standard Time) | Join |
160 |
Improvements of Workflow-Based Mechanism for ERP System User Interface Adaptation |
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177 |
Doubt Solver Chatbot using Speech-to-Text in Whisper and Few-Shot Learning in LangChain |
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192 |
A Piezoelectric Based Platform for Energy Harvesting |
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209 |
Computational Intelligence in Smart Farming: Vision and Trials |
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287 |
Prototype of the Robotic Arm Manipulator for Fruit Segregation using Conveyor Belt |
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TS05: Data Analytics (in Online Mode via Google Meet) |
11:30 – 12:30 (Indian Standard Time) | Join |
247 |
Automated H & E Nuclei Segmentation using U-Net Models |
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249 |
Efficient Fast Learning GoogLeNet Technique for Human Identification using Bitemarks Impression |
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254 |
Lung Cancer Prognosis using Deep Learning |
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277 |
EEG Waveband Computation for Seizure Brain State Identification |
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TS06: Data Analytics (in Online Mode via Google Meet) |
14:00 – 15:00 (Indian Standard Time) | Join |
288 |
Automatic Detection of Glaucoma from Retinal Fundus Images using Convolutional Neural Network Model, Xception |
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290 |
Two-Pass Architecture for Video Processing in LLMs |
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298 |
Machine Learning based Geospatial Flood Prediction: The Case of Brahmaputra Basin |
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302 |
A Socially Sustainable Approach to Designing Web-based Language Acquisition Module for the Hearing Impaired |
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TS07: Data Analytics (in Online Mode via Google Meet) |
14:00 – 15:00 (Indian Standard Time) | Join |
307 |
Review on Liver Cancer Detection using Deep Learning |
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315 |
Insights Into Indian Sign Language Recognition: A Comprehensive Review |
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321 |
3D Avatar Based Sign Gesture Animation |
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323 |
Hybrid CNN and XGBoost Model Tuned by Metaheuristics for DC Motor Failure Prediction using Mel Spectograms |
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353 |
A Review on Understanding the Patterns of Student Dropout |