We are pleased to invite you to attend the CSCT 2024 in Hybrid Mode (Online through Google Meet and Offline (1st Day Only) at National Institute of Technology, Sikkim, India. This page includes all of the information on the CSCT 2024 program schedule. Click each date below for the CSCT 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.
- All the Keynotes and Technical Paper Presentations will be in hybrid mode (Online through Google Meet and Offline at National Institute of Technology, Sikkim, India.
- Click Join on the respective Date Tab to attend/present the respective Keynotes (K)/Technical Sessions (TS) for online attendees.
- Join the Keynotes (K)/Technical Sessions (TS) at least 05 minutes before the scheduled time. All the times are in Indian Standard Time (IST).
- All the participants and presenters are requested to keep their mic and video off until and unless it is asked to un-mute.
- The presenters are requested to be ready with their presentation slides and check their mic and video settings in advance.
- The authors (presenters) will be called one-by-one in their respective Technical Sessions (TS) by Session Chairs.
- The presenter has to prepare presentation slides in any format.
- Paper presentation time for each paper is 10 Min and 2 minutes for Q & A.
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Inauguration (Hybrid Mode) |
10:00 – 11:00 (Indian Standard Time) | Join |
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High Tea (For Offline Participants) |
11:00 – 11:30 (Indian Standard Time) | |
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Keynote Talk 1 (Online Mode via Google Meet) Speaker: Prof. Apu Kumar Saha, National Institute of Technology, Agartala, India |
11:30 - 12:15 (Indian Standard Time) | Join |
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Lunch (For Offline Participants) |
12:15 - 14:00 (Indian Standard Time) | |
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TS 01: Emerging Technologies (Offline Mode) Session Chair 1: Dr. Sourav Mallick, Associate Professor, NIT Sikkim |
14:00 – 15:30 (Indian Standard Time) | |
165 |
Neurocognitive Dynamics of Mind Activities: A Comprehensive EEG Analysis |
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TS 02: Smart Computing Applications (in Online Mode via Google Meet) Session Chair 1: Dr. Pradeep Kumar, Assistant professor, NIT Sikkim Session Chair 2: Dr. Santosh Kumar Satapathy, Assistant Professor, Pandit Deendayal Energy University |
14:00 – 15:30 (Indian Standard Time) | Join |
154 |
Predicting The Determinants of Augmented Reality Technologies in E-Commerce Applications using Multianalytical Structural Equation Model (SEM) and Artificial Neural Network (ANN) Modelling |
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255 |
Enhancing Financial Sentiment Analysis with Pre-trained BERT-Based Models |
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359 |
Building a Robust Labor Market Network: Leveraging Machine Learning for Enhanced Workforce Insights |
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379 |
SDIS: Stand-alone Digital Identity Solution using Blockchain SSI Framework for Distributed Identity |
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482 |
Comparative Analysis of Various Sign Language Detection Methods for Indian Sign Language using Deep Learning |
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621 |
Optimizing Security and Scalability in Machine Learning for Cloud-Based Healthcare Systems |
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TS 03: Smart Computing Techniques (in Online Mode via Google Meet) Session Chair 1: Dr. Pratyay Kuila, Associate Professor, NIT Sikkim Session Chair 2: Ms. Swathi Suddala, Data Analyst, independent researcher AI domain Session Chair 3: Dr. Maneet Kaur, Assistant Professor, Khalsa College of Engineering and Technology, Amritsar |
14:00 – 15:30 (Indian Standard Time) | Join |
15 |
CNN Based Novel Approach to Administer Non-Proctored Online Examination |
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184 |
Utilizing Discrete Cosine Transform for Video Compression and Encryption: An Algorithmic Approach |
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185 |
Gray-Scale Edge Detection Techniques: A Survey and Comparative Analysis |
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258 |
Crafting Specialized Named Entity Recognition Models for Keyphrase Extraction |
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393 |
Plant Leaf Disease Detection and Severity Assessment using Deep CNN Architectures |
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478 |
Robust Retinal Vessel Segmentation for Pathology Screening Using Advanced Deep Learning Methods |
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TS 04: Emerging Technologies (in Online Mode via Google Meet) Session Chair 1: Dr. Bam Bahadur Sinha, Assistant professor, NIT Sikkim Session Chair 2: Mr. Adarsh Mohan Vaid, Manager, SAP Basis, American National Insurance Company Session Chair 3: Mr. Chetan Sharma, Lead SAP BASIS, Tractor Supply Company, Brentwood, Tennessee, USA |
14:00 – 15:30 (Indian Standard Time) | Join |
345 |
Advanced Techniques in Deep Learning for Pancreatic Cancer Detection and Classification |
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426 |
Analysis of stress vegetation of Caserta Royal Palace holm oaks with hyperspectral technique |
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442 |
Application of the Internet of Things Concept for the Organization of the UAV Control Channel |
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477 |
Influence of Socio-Technical Factors of AI-enabled ICTs in Governance |
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524 |
NR2-A Novel Graph Based Encryption Algorithm |
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540 |
Intellectual Rooms based on Modern Computer Science Technologies |
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TS 05: Smart Computing Applications (in Online Mode via Google Meet) Session Chair 1: Dr. Abhishek Rajan, Assistant professor, NIT Sikkim Session Chair 2: Dr. Jaimala Gambhir, Associate Professor, Punjab Engg College |
14:00 – 15:30 (Indian Standard Time) | Join |
337 |
Analyzing Currency Fluctuations: A Comparative Study of GARCH, EWMA, and IV Models for GBP/USD and EUR/GBP Pairs |
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395 |
Deep Learning Dog Breed Identification and Classification |
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403 |
Disease Identification for Tea Leaves using Explainable Artificial Intelligence |
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432 |
The Role of Machine Learning In Financial Engineering: Credit Scoring Applications |
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851 |
Integrating IT and Financial Audits: Bridging the Gap between IT Controls and Financial Reporting |
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TS 06: Smart Computing Techniques (in Online Mode via Google Meet) Session Chair 1: Dr. Shakti Vashisth, Assistant professor, NIT Sikkim Session Chair 2: Dr. Vivek Kumar, Assistant professor, NIT Sikkim |
14:00 – 15:30 (Indian Standard Time) | Join |
417 |
Securing Energy Efficiency and Privacy in Wireless Sensor Networks through Edge Computing and Deep Learning Techniques |
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461 |
The IoT System Intrusion Detection with CatBoost Tuned by Modified Chimp Optimization Aglorithm |
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462 |
Accuracy and Efficiency Gains in Waste Classification Through Continuous Learning and Advanced Techniques |
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468 |
Making Sleep Disorder Classification using Optimized Machine Learning Models |
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469 |
Enhanced Brain Tumor Segmentation using FPN-UNET Integration for Multiscale Feature Extraction |
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792 |
Pigeon pea Leaf Region Extraction for Classification using modified U-Net and CNN Architectures |
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TS 07: Emerging Technologies (in Online Mode via Google Meet) Session Chair 1: Dr. Molay Roy, Assistant professor, NIT Sikkim Session Chair 2: Dr. Nimai charan Patel, Assistant professor, NIT Sikkim |
14:00 – 15:30 (Indian Standard Time) | Join |
541 |
Blockchain-Enabled Security Solutions for Internet of Things (IoT): Addressing Centralization Challenges: A Review |
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583 |
Explainable AI for PCOS Diagnosis: A YOLOv8 and Vision Transformer Approach |
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633 |
Application of Open Source Tools for Assessing Cybersecurity in Domestic Wi-Fi Networks |
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677 |
Blockchain-Driven Trust less Security Framework for Multi-Layered IoT Architectures: A Game-Theoretic Analysis of Attack Mitigation |
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702 |
Estimating Supraglacial Debris Cover in the Sikkim Himalayas using Landsat 8 Data: Insights from Supervised Classification and NDSI Thresholding |
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825 |
Optimizing Distribution Networks: A Study on Reinforcement Learning and Graph Convolutional Networks for Shipping Point Assignment |
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Industry Invited Speaker - 1 |
09.30-11.30 (Indian Standard Time) | Join |
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Harnessing Oracle AI Vector Search for Advanced Enterprise Data Insights |
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Digital Transformation and Innovation: Driving Business Growth |
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Revolutionizing Digital Platforms with Generative AI: A New Era of Personalized Experiences |
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The Future of Healthcare in India: Harnessing CCaaS and AI |
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Emerging Threats: The Latest Cybersecurity Risks and the Role of Artificial Intelligence and Cloud Security Tools in Enhancing Cybersecurity Defenses |
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Transforming Automotive Engine Manufacturing: Leveraging Generative AI for Precision, Efficiency, and Innovation |
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Implementing Capitation Models in Primary Care: Financial and Clinical Implications for Providers and Patients |
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Industry Invited Speaker - 2 |
09.30-11.30 (Indian Standard Time) | Join |
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Integrating AI with FinOps FOCUS for Enhanced Multi-Cloud Resource Allocation |
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Explainable AI in Life Insurance |
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Securing Cloud Environments with Zero Trust Architectures: Best Practices for Identity and Access Management (IAM) in Public and Private Clouds |
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Achieving Marketing Automation & Optimization through AI and Data Science |
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Migrating your workloads to the Cloud. A comprehensive guide on how organizations should be migrating their workloads to the Cloud |
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Adapting to Innovation: How Industries Identify and Embrace Emerging Technology Trends |
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Exploring the Role of Prior Authorization in Healthcare Delivery: Streamlining the Approval Process for Timely Care |
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Unlocking the Power of Generative AI Agents: A Framework for Building and Deploying Intelligent, Adaptive, and Grounded Systems |
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Industry Invited Speaker - 3 |
09.30-11.30 (Indian Standard Time) | Join |
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Secure your SAP on Azure: High Availability and Disaster Recovery Best Practices |
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AI Powered IOT: Transforming urban living |
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Smart Cities:Transforming urban living with IOT |
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Integrating Near Real-Time and Batch Data into Snowflake for Scalable Analytics |
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Generative AI GuardRails: Understanding and Preventing LLM Security Threats |
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Integrating Machine Learning Algorithms in Big Data Analytics: A Framework for Enhancing Predictive Insights |
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AI-Driven Safety Innovations: Advancing Autonomous Vehicle Technology Through Real-Time Intelligence |
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Industry Invited Speaker - 4 |
9.30-11.30 (Indian Standard Time) | Join |
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Building Scalable and Resilient Smart Systems for Critical Applications |
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Graph Database Pruning to Enhance Knowledge Representation in LLMs |
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TS 08: Smart Computing Applications (in Online Mode via Google Meet) Session Chair 1: Dr. Pratyay Kuila, Associate Professor, NIT Sikkim Session Chair 2: Dr. Chandan Kumar Shiva, Assoc. Professor, SR University Session Chair 3: Mr. Milavkumar Shah, Engineering Manager of Managers, Amazon Web Services (AWS), USA |
12:00 – 13:30 (Indian Standard Time) | Join |
421 |
Chronic Kidney Diesase Predicition using Machine Learning |
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474 |
Overcoming Linguistic Challenges: Leveraging Deep Learning Techniques for Abusive Text Detection in Assamese Language |
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482 |
Comparative Analysis of Various Sign Language Detection Methods for Indian Sign Language using Deep Learning |
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490 |
Detecting SMS Spam using LLM Techniques |
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501 |
Online payments Fraud Detection using Machine Learning models |
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510 |
Factors Affecting Customers’ Behavioral Intention Toward using Mobile Food Delivery Application Services: A Study in Phnom Penh, Cambodia |
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TS 09: Smart Computing Techniques (in Online Mode via Google Meet) Session Chair 1: Dr. Bam Bahadur Sinha, Assistant professor, NIT Sikkim Session Chair 2: Dr. Anjali Gautam, Associate Professor, DPG School of Technology & Management Session Chair 3: Mr. Priyam Ganguly, Data Analyst, Hanwha QCells America New York, USA |
12:00 – 13:30 (Indian Standard Time) | Join |
473 |
Denoising ECG Images using Modified Adaptive Filter for Enhancement by Applying Contrast Limited Adaptive Histogram Equalization |
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481 |
Enhanced Malaria Detection with Custom CNN and Albumentation |
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495 |
An Efficient VariableReduction Algorithm with Evolutionary Approach for UKM-IDS20 |
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498 |
A Metaheuristic Approach on Virtual Machine Allocation using Backtracking and Simulated Annealing in Cloud Computing |
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499 |
Evaluating the Correlation between the Depth and the Accuracy of Residual Networks for Crop Disease Classification |
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651 |
Prediction of Average temperature using hybrid A Symmetric Huber Loss Function-based ELM approach: A case study on Kokarnag, Jhelum River basin, India |
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TS 10: Emerging Technologies (in Online Mode via Google Meet) Session Chair 1: Dr. Abhishek Rajan, Assistant professor, NIT Sikkim Session Chair 2: Mr. Ankit Bansal, Omnichannel analytics Manager, USA |
12:00 – 13:30 (Indian Standard Time) | Join |
705 |
Why Some Old Songs are Still Evergreen Even Today? |
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706 |
A Neutrosophic MCDM Model for Analyzing Key Barriers in Warehouse Management Platform Adoption for Vietnam's Smart Reverse Logistics |
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721 |
A Framework for Automating Compliance as Code using AWS Config and Ansible |
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728 |
P-MASFEP: security-enhanced PUF-based Mutual Authentication & Session key establishment using Fuzzy Extractor & PKI |
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733 |
Mangrove Health Analysis using Thermal and Vegetation Index Estimation from Multispectral Data |
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TS 11: Smart Computing Applications (in Online Mode via Google Meet) Session Chair 1: Dr. Shakti Vashisth, Assistant professor, NIT Sikkim Session Chair 2: Dr. Rahul Johari, Associate Professor, Guru Gobind Singh Indraprastha University |
12:00 – 13:30 (Indian Standard Time) | Join |
472 |
A Deep Learning Approach to Secure Movie Recommendation: An in-Depth Analysis |
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519 |
Plant Disease Detection using Deep Learning: A Focus on Pathogen-Based Classification |
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529 |
Building a model of Physical Activity Recognition using Hierarchical AutoML |
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553 |
United Against Hate: A Deep Learning Ensemble Approach for Robust Hate Speech and Offensive Language Detection |
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562 |
Harnessing Machine Learning for Accurate Water Quality Monitoring and Prediction |
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567 |
Misbehaviour Detection System and Novel attack detection using Deep learning in Internet of Vehicles |
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TS 12: Smart Computing and Cyber Security (in Online Mode via Google Meet) Session Chair 1: Dr. Molay Roy, Assistant professor, NIT Sikkim Session Chair 2: Dr. Sonal Sharma Associate Professor Jain University, Bangalore, India Session Chair 3: Mr. Anirudh Khanna, Senior data protection architect, Pacific gas and Electric, USA |
12:00 – 13:30 (Indian Standard Time) | Join |
500 |
K Nearest Neighbor Optimization of Silver Graphene Fiber Optic Sensor for Lung Cancer Detection |
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527 |
Smart Computing Approaches to Adaptive Ensemble Learning for Detecting APT Threats through Network Behavior Anomalies |
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557 |
Harnessing Grey Wolf Optimization for Enhanced Deep Learning CNN in Rheumatoid Arthritis X-ray Analysis |
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558 |
Enhancing Anomaly Detection in IoT Systems with an Ensemble of Machine Learning Algorithms |
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564 |
Anomaly Detection in DC Distribution Systems: A Wavelet and Autoencoder-based Method |
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614 |
Analysis of Large Language Models for Abstractive Text Summarization |
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TS 13: Emerging Technologies (in Online Mode via Google Meet) Session Chair 1: Dr. Vivek Kumar, Assistant professor, NIT Sikkim Session Chair 2: Mr. Srikanth Bharadwaz Samudrala, Gen AI researcher, CLoud architect, USA Session Chair 3: Mr. Sarat Chandra Routhu, Lead Engineer, Spruce Technology Inc, USA |
12:00 – 13:30 (Indian Standard Time) | Join |
749 |
Throughput Analysis Of Cooperative Massive MIMO System |
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751 |
VIMALA: Vision-based Interpretation and Modelling using AquaSpatioTemporalNet for Land and Aquatic Systems |
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782 |
Benchmarking large language models: A comprehensive comparison of architectures and their implications |
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827 |
Gaussian Process Regression for State of Charge Prediction: Overcoming Temperature Variability in Li-ion Battery Applications |
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849 |
Computational Linguistics for Corporate Governance Research: NLP Application in Analyzing Shareholder Participation and Annual Report Readability |
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TS 14: Smart Computing Applications (in Online Mode via Google Meet) Session Chair 1: Dr. Nimai charan Patel, Assistant professor, NIT Sikkim Session Chair 2: Dr. Mithra Venkatesan, Associate Professor, Dr. D Y Patil Institute of Technology, Pune Session Chair 3: Ms. Thrushna matharasi, Data Engineering and Analytics, Frisco, Texas |
12:00 – 13:30 (Indian Standard Time) | Join |
338 |
The Evolution of Football Betting: A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation |
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600 |
Explainable AI for Monkeypox Screening |
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628 |
AI-Powered Ball-by-Ball Commentary for Cricket Matches using CNNs and RAG |
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652 |
Leveraging Machine Learning and Artificial Intelligence for Sentiment Analysis in Financial Markets: A Comprehensive Systematic Review |
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658 |
Deep Diabetic: Detecting Diabetic Eye Diseases with Neural Networks |
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687 |
Potato Leaf Disease Detection using Lightweight CNN Architecture and Explainable AI |
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TS 15: Smart Computing Techniques (in Online Mode via Google Meet) Session Chair 1: Dr. Sourav Mallick, Associate Professor, NIT Sikkim Session Chair 2: Dr. Santosh Kumar Satapathy, Assistant Professor, Pandit Deendayal Energy University |
14:30 – 16:00 (Indian Standard Time) | Join |
566 |
Hybrid CNN-Bidirectional LSTM Networks for Advanced ECG Signal Classification and Arrhythmia Fibrillation Detection |
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581 |
Feature Selection based Hybrid Ensemble Learning for Detection of Network Intrusion |
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598 |
EMU-Net: Glioma Substructures Segmentation using Modified U-Net Architecture |
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599 |
Feature Augmentation and Convolutional Neural Networks for Accurate Prediction of Heart Disease |
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601 |
Efficient Monkeypox Diagnosis via Attention-Based MobileNetV2 Architecture |
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779 |
Brain Tumor Detection Using Deep Learning with EfficientNet-B0 |
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TS 16: Smart Computing Applications (in Online Mode via Google Meet) Session Chair 1: Dr. Pradeep Kumar, Assistant professor, NIT Sikkim Session Chair 2: Professor Pokkuluri Kiran Sree, Shri Vishnu Engineering College of Women(A) Session Chair 3: Dr. Mahendra Lalwani, Rajasthan Technical University Kota |
14:30 – 16:00 (Indian Standard Time) | Join |
692 |
Thermography based Breast Cancer Detection using Texture and Frequency Features |
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697 |
Automated Diagnosis of Eye Diseases using Convolutional Neural Networks: A Study of CNN Architectures with Emphasis on the Enhanced RetiLayNet for Early Detection of Vision Impairment |
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699 |
Detecting Diabetic Retinopathy Disease Stages using Deep Learning Model |
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712 |
Malaria Cell Classification with Highlighted Infected Spots |
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713 |
Improving Movie Recommendations Through Hybrid Model Integration of Collaborative and Content-Based Filters with Data Analysis |
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722 |
A Comprehensive Two-Staged MCDM Model for Risk Assessment in Vietnam’s Fintech Crowdfunding Sector |
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TS 17: Smart Computing Techniques (in Online Mode via Google Meet) Session Chair 1: Dr. Abhishek Rajan, Assistant professor, NIT Sikkim Session Chair 2: Dr. Gitanjali Mate, Associate Professor, JSPM's Rajarshi Shahu College of Engineering |
14:30 – 16:00 (Indian Standard Time) | Join |
650 |
Tall Array Method Efficiency in Computing Statistics of Big Data |
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667 |
Optimizing Class Imbalance and Enhancing Intrusion Detection in SDN Environments using Deep Learning Models |
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678 |
Optimizing Energy Efficiency and Latency in IoT Devices through AI-Based Adaptive Protocols in Fog-Edge Computing Environments |
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688 |
In-Depth Analysis of Deep Learning Approaches for Acute Lymphoblastic Leukemia on Blood Smear Images |
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696 |
A Comparative Study on Association Rule Mining Algorithms like Apriori, Fp-Growth, ECLAT, Enhanced Apriori, and Rapid Association Rule Mining |
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850 |
Conversational Risk Analysis: Identifying and Classifying Potential Threats in Interpersonal Communication |
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TS 18: Smart Computing Applications (in Online Mode via Google Meet) Session Chair 1: Dr. Shakti Vashisth, Assistant professor, NIT Sikkim Session Chair 2: Dr. Kusum Kumari Bharti, Assistant Professor, NIT Jalandhar |
14:30 – 16:00 (Indian Standard Time) | Join |
730 |
Leafy Vegetable Freshness Classification using Transfer Learning |
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739 |
A Stacked Deep Learning Model for Accurate Dementia Detection using Transcript Data |
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757 |
A Review of Retrieval-Augmented Generation-Based Large Language Model Chatbots for Enhanced Academic and Administrative Support in Universities |
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790 |
Smart Intrusion Detection Systems: A Novel Intrusion Detection Framework by Leveraging SMOTE-ENN with RF and XGBoost |
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794 |
Landslide Detection and Mapping with Satellite Imagery: A Machine Learning Approach |
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815 |
Brain Tumor Detection using ML Techniques based on HOG and SVM |
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TS 19: Smart Computing Techniques (in Online Mode via Google Meet) Session Chair 1: Dr. Soumyabrata Das, Assistant professor, VNIT nagpur Session Chair 2: Dr. More Sharmila Sharad, Assistant Professor, MIT ACSC Dehu Fata, Pune |
14:30 – 16:00 (Indian Standard Time) | Join |
622 |
Integrating IoT and Machine Learning for Adaptive Crop Yield Forecasting: A Cloud-Based Approach |
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707 |
Enhanced Land Use Identification from Aerial Imagery: A Deep Learning Framework with Dynamic Gradient-Guided Sharpening |
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723 |
Forensic Face Construction and Recognition |
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724 |
A Hybrid Approach For Improve Performance of Image Steganography using Deep Learning Techniques |
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726 |
Ship Target Detection in Synthetic Aperture Radar Imagery using Deep Learning |
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727 |
Classification and Anomaly Detection in Thyroid Nodule Ultrasound Images Based on the GSO-Inception-v3 Hybrid Model |
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TS 20: Smart Computing Applications (in Online Mode via Google Meet) Session Chair 1: Dr. Manohar Mishra, Associate Professor, SOA University Session Chair 2: Dr. Mausumi Goswami, Associate Professor, CHRIST (Deemed to be University), Bangalore |
14:30 – 16:00 (Indian Standard Time) | Join |
819 |
Differential Diagnosis of Pulmonary Diseases using Convolutional Neural Network with LSTM Architecture |
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822 |
Integrating Handcrafted MLBP and Deep Features using VGG16 for Face Presentation Attack Detection |
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823 |
Class-Balanced Ensembled Framework for Android Malware Detection |
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829 |
Impact of Interpretability on Bias in ECG- Based Models for Cardiac Disease Detection |
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843 |
Enhancing Health care with AI: Chatbot with Patient Care |
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844 |
Enhancing Early Diabetic Retinopathy Detection: Explainable AI for Microaneurysm Identification |
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TS 21: Smart Computing Techniques (in Online Mode via Google Meet) Session Chair 1: Dr. Molay Roy, Assistant professor, NIT Sikkim Session Chair 2: Dr. Nahid Fatima, Associate Professor, Prince Sultan University Riyadh |
14:30 – 16:00 (Indian Standard Time) | Join |
741 |
Fast Distributed Observer for Multi Agent Systems Subjected to Byzantine Attacks |
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747 |
Enhanced Bearing Fault Detection and Classification using Machine Learning and Statistical Feature Extraction in Rotating Machinery |
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748 |
Text Compression Techniques: A Study of LZW, RLE Huffman and Extended Huffman Coding |
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768 |
Real-Time Obstacle Avoidance using Monocular Depth Estimation and Optical Flow Techniques |
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813 |
Optimizing DDoS Detection using Machine Learning Approach |
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833 |
Automatic Brain Tumor Detection and Classification using Double Layers Approach |
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Keynote Talk 2 (Online Mode via Google Meet) Speaker: Prof. Siba K Udgata, University of Hyderabad, India |
16:00 - 16:45 (Indian Standard Time) | Join |