We are pleased to invite you to attend the RCSM 2025 at MANIT
Bhopal, India.
This page includes all of the information on
the RCSM 2025 program schedule. Click each date below for the
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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CCS1: Communication and Control Systems
Session Chair 1: Dr. VANDANA REDDY,
CHRIST University, Kengeri, Bangalore |
02:15PM - 4:30 PM (IST) | Room No 201, Ground Floor, Block II |
| 1148 |
A Hybrid Medical Image Encryption Algorithm using
Neural Network and Chaotic Maps |
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912 |
TRANSFORMING AGRICULTURE WITH IOT AND ML: A SMART SYSTEM
FOR OPTIMIZED WATER MANAGEMENT AND CROP HEALTH |
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1054 |
Integrating CRISPR Technology and Computational
Bioinformatics for Deeper Insights into Autism Spectrum
Disorder |
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997 |
Harnessing Deep Learning for Early Detection of Leaf
Diseases in Diverse Crops of South Canara |
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1113 |
IMAGE PROCESSING APPROACH FOR ENHANCED COCOA DISEASE
DETECTION USING CNN |
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1016 |
An approach to enhance Students Digital Fee Payment System
in College by utilizing the Weak Blocks in Subchain |
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CCS2: Communication and Control Systems
Session Chair 1: Dr. GANESH KUMAR R,
CHRIST University, Kengeri, Bangalore |
02:15PM - 4:30 PM (IST) | Room No 203, Ground Floor, Block II |
|
1047 |
AN EFFICIENT WAY OF DETECTING STRESS BY USING PPG SIGNALS
DATA |
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1041 |
A Feedback-Driven MLOps Based Approach for Fall
Detection |
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1036 |
Robotic-Assisted Detection and Segregation of Recyclable
Waste |
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1125 |
Multi-head Attention based Deep Learning Framework for
Identifying Distributed Denial of Service Attacks |
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1021 |
Secure Data Search in Edge Computing using Deep
Learning |
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CCS3 & Gen1: Communication and Control Systems & General Track 1
Session Chair 1: Dr. Archana Mathur,
CHRIST University, Kengeri, Bangalore |
02:15PM - 4:30 PM (IST) | Room No 205, Ground Floor, Block II |
|
598 |
Advanced Botnet Detection Using Hybrid Machine Learning
Models |
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524 |
ISLR using Deep Learning: Attention is Everywhere |
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1234 |
Exploring the Impact of Neural Architecture Search on
Human Pose Detection Techniques |
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1071 |
Neural Network Models for Cross-Language Code Synthesis
and Translation |
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1164 |
Development of AI/ML based solution for detection of
face-swap based deepfake videos and AI-generated
videos. |
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1178 |
AI and Human Cognition: A Cognitive-Computational
Synergy |
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InA1: Informatics and Applications
Session Chair 1: Dr. Rajkumar Rajavel,
CHRIST University, Kengeri, Bangalore |
02:15PM - 4:30 PM (IST) | Room No 206, Ground Floor, Block II |
|
1061 |
Predictive Analytics for Early Lung Cancer Risk Using
Machine Learning |
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16 |
Machine Learning-Driven Vocal Feature Analysis for
Parkinson's Disease Detection |
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1105 |
Brain Tumor Classification through Advanced CNN
Architectures with Hyperparameter Tuning |
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1170 |
Water Quality Prediction Using Ensemble Models: MLP, RF,
and SVM |
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15 |
Machine Learning-Driven Analysis for Parkinson's Disease
Detection Through Vocal Feature |
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403 |
Development of a Machine Learning-Based Symptom Checker
for Early Disease Diagnosis |
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InA2: Informatics and Applications
Session Chair 1: Dr. BEJOY B J, CHRIST
University, Kengeri, Bangalore |
02:15PM - 4:30 PM (IST) | Room No 213, Ground Floor, Block II |
|
1037 |
Diagnosis of Acute Respiratory Disease Using AI in Small
Towns and Villages |
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1042 |
Optimizing Indian Sign Language Detection via YOLOv8
Classification with SE Block Integration and MediaPipe |
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581 |
Usability in Generative AI Tools: A Design Purview into
Accessibility |
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1250 |
Use of Comprehensive Probability Distribution Models in
Education |
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1052 |
Forecasting the Future: A Hybrid Approach to Stock Market
Prediction with LSTM, XGBoost, and LightGBM |
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IDA1: Intelligent Data Analytics and Computing
Session Chair 1: Dr. Kukatlapalli Pradeep
Kumar, CHRIST University, Kengeri, Bangalore |
02:15PM - 4:30 PM (IST) | Room No 218, First Floor, Block II |
|
1025 |
Autoencoder Approach for Segmentation of Necrotic Tissues
from Histopathology Images |
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932 |
Enhancing Stock Market Forecasting with LLMs, Sentiment
Analysis and Technical Indicators |
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1050 |
A Hybrid Clustering Approach for Enhanced Classification
Efficiency in Data Analytics |
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279 |
Music Genre Classification using Spectral Features and
MFCC: A Comparative Study between Deep Learning and
Machine Learning Approaches |
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1239 |
Covid-19 Detection Using Ensemble Deep Learning Model With
Multi Modality Input |
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CCS4: Communication and Control Systems
Session Chair 1: Dr. Manikandakumar M,
CHRIST University, Kengeri, Bangalore |
02:15PM - 4:30 PM (IST) | Room No 301, First Floor, Block II |
|
651 |
On The Future of Smart Grids: Revolutionizing Energy
Distribution with Advanced IoT, and Renewable
Integration |
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757 |
Analysis of Gate-All-Around FETs Using Si, SiC, and GaN
for Advanced Logic Applications |
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777 |
Blockchain-Based Framework for Smart Grid Energy
Trading |
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955 |
Next-Generation 3D AR Glasses: Smart Integration of
Virtual Communication, Precision Mapping, and Energy
Efficiency |
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959 |
Practical Implementation of OFDM-IM: Investigating IQI
Effects with SDR Technology |
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1121 |
A Novel Isolated Multi-Level DC-DC Power Converter for
Electric Vehicle Applications |
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