TheC3AI-2024. DAY-1. ( 03-JULY-2024 SCHEDULE )
9:00AM-9:05AM : Inauguration by General Chair -TheC3AI 2024
9:05 AM -9:50 AM: KEYNOTE SPEECH
Topic:
Covid-19 Twitter Data Analysis for Emotion Prediction, Ideology Detection, Polarization and Hate and Offensive Languages
Prof. Sanjay K Madria
Missouri University of Science and Technology, USA
Keynote Session Chair : Ricardo Melo Czekster
9:50AM-10:00AM: COFFEE BREAK
DAY-1 : 3 JULY 2024 TIME 10:00 AM -11:00 AM (UK TIME)
Computing and AI-Track
Session Chair : Ricardo Melo Czekster
Presentation Time: 10 Minutes + Q&A : 5 Minutes
Paper-ID:34
Enhancing and Personalising Endometriosis Care with Causal Machine Learning
Ariane Hine, Thais Webber and Juliana Bowles
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Paper-ID:19
Social Engineering and Insider Threats Toward Crime Prevention through Environmental Design (CPTED) : A student case study.
Robert Makila, Landry Mbale, Jean-Auguste Muhau and Godwill Ilunga
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Paper-ID:59
Sorry, I am an AI Language Model: Understanding the Limitations of ChatGPT
Dishita Naik, Ishita Naik, Nitin Naik
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Paper-ID:60
Imperfectly Perfect AI Chatbots: Limitations of Generative AI, Large Language Models and Large Multimodal Models
Dishita Naik, Ishita Naik and Nitin Naik
COFFEE BREAK (11:00AM-11:30AM)
DAY-1 : 3 JULY 2024 TIME 11:30 AM -12:30 PM
AI-Track
Session Chair: Shaligram Prajapat
Presentation Time: 10 Minutes + Q&A : 5 Minutes
Paper-ID:15
Generate Unnoticeable Adversarial Examples on Audio Classification Models with Multi-perspective Objectives
Bin Ma, Weixun Li, Huifeng Li, Guanghui Sun, Minghui Gao, Dexin Wu ,Jian Xu
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Paper-ID:47
ShareSpell: A Prototype of Learners Community Engagement in a Dynamic Online Learning Environment System
Priyanshi Soni and Shaligram Prajapat
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Paper-ID:16
Prior-enhanced Semi-supervised Federated Learning for IoT Intrusion Detection: A Game Theory and Comparative Learning-based Approach
Li Ma, Ji-Cheng He, Kai Lu, Dan Wang, Long Yin, Zhao-Kun Li
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Paper-ID:25
Performance Pattern Mining for Higher Education Students in Blended Learning Using Clustering Algorithms
Shraddha Bhurre, Shaligram Prajapat ,SunnyRaikwar
LUNCH BREAK (12:30 PM-1:30 PM)
DAY-1 : 3 JULY 2024 TIME 1:30 PM -2:45 PM (UK TIME)
CyberSecurity-Track
Presentation Time: 10 Minutes + Q&A : 5 Minutes
Paper-ID:10
Threat Modelling in Virtual Assistant Hub Devices
Beckett LeClair and Kaniz Fatema
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Paper-ID:20
Development of an Artificial Intelligence Model That Detects Distributed Denial of Services Attacks by using Machine Learning and Deep Learning Methods
Salim Badar Salim Hamed Al-Hajri and Paul Jenkins
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Paper-ID:31
Modeling and Analysis of Advanced Intrusion Prevention System using Distributed Host Datasets for Anomaly Detection
Shashank Sharma, Shaligram Prajapat and Nitin Naik
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Paper-ID:49
Information Security Primitives Automatic Variable Key Approaches And Cryptic Mining
Shaligram Prajapat
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Paper-ID:51
Safeguarding SaaS Through HoneyPots: Strategies for Data Privacy and Security Compliance
Pulkit Vaishnav, Sunny Raikwar and Shaligram Prajapat
COFFEE BREAK(2:45PM-3:00PM)
DAY-1 : 3 JULY 2024 TIME 3:00 PM -4:15 PM (UK TIME)
AI-Track
Session Chair : Paul Jenkin
Presentation Time: 10 Minutes + Q&A : 5 Minutes
Paper-ID:61
Leveraging the Use of ChatGPT: Exploring Its Real-World Applications
Dishita Naik, Ishita Naik and Nitin Naik
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Paper-ID: 62
Applications of AI Chatbots Based on Generative AI, Large Language Models and Large Multimodal Models
Dishita Naik, Ishita Naik and Nitin Naik
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Paper-ID:26
Federated Learning Approach using Transfer learning architectures for Lung Cancer Detection
Purvi Choure, Shaligram Prajapat and Krishan Berwal
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Paper-ID: 27
Offence Feature Extraction and Comparative Analysis of Jaccard Similarity and Word Embedding Techniques for IPC Section Recommendations in First Information Report
Ambrish Srivastav and Shaligram Prajapat
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Paper-ID:29
Rise of Federated Learning to Real-World Applications
Shubhi Gehlot, Dishita Naik, Nitin Naik and Shaligram Prajapat
COFFEE BREAK(4:15 PM-4:30 PM)
DAY-1 : 3 JULY 2024 TIME 4:30 PM -5:45 PM (UK TIME)
AI-Track
Presentation Time: 10 Minutes + Q&A : 5 Minutes
Paper-ID:41
A Decision Tree Approach for Identifying Indian Penal Code Sections across Different Crime Aspects
Ambrish Srivastav, Shaligram Prajapat
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Paper-ID:42
Overcoming Challenges in Implementing Artificial Intelligence on the Raspberry Pi 4
Phil Steadman,Paul Jenkins
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Paper-ID:43
Multiclass Semantic Segmentation using DeepLabV3+ on Satellite Images of Western Ghats
Purvi Choure ,Shaligram Prajapat
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Paper-ID:46
Higher Education Students Performance and Feature Analysis Using Classification Models based on blended learning data
Shraddha Bhurre, Shaligram Prajapat
Paper-ID:35
Methods to Improve API Performance in PHP programming language
Diana Dvoryak and Eugene Alooeff
END OF DAY-1
Day-2 👈Schedule