|
Timing |
12:00 pm-1:30 pm |
|
Track 1 |
AI and Data Analytics in Healthcare |
|
Session 1 |
SFS Lab |
|
NAME |
PAPER ID |
TITLE |
|
Ayushi Pandey |
154 |
Breast Cancer Prediction Via Classification Techniques using Machine Learning |
|
DHRUVAL GUPTA |
185 |
A Comparative Analysis of Deep Residual Networks and Transfer Learning for the
Detection and Classification of Brain Tumor |
|
Rishu |
228 |
Computerized Diagnosis and Classification of Tumor using Deep learning |
|
Abhishek Kumar Singh |
32 |
Predicting misinformation in social media using RNN and NLP and improving public
health communication |
|
JYOTSNA SINGH |
98 |
An analysis on the health care system with respect to refugees in India |
|
|
|
|
|
|
|
|
|
Timing |
3:15 pm- 4:45 pm |
|
Track 1 |
AI and Data Analytics in Healthcare |
|
Session 2 |
SFS Lab |
|
NAME |
PAPER ID |
TITLE |
|
Dr.Chhaya Agarwal |
84 |
Application of Artificial Intelligence to Generate Electronic Health Records
(EHR) in Medical Transcription Services : A Comprehensive Review, |
|
Naseem Ahmad |
227 |
A Comprehensive Analysis of Sign Language Recognition for the Hearing-Impaired |
|
VISHAL YADAV |
95 |
Artificial Intelligence -based Pharmacovigilance for Adverse Drug Event
Surveillance |
|
Yasir arfat |
194 |
An Advanced Artificial Intelligence Approach in Health and Medicine |
|
Dr. Monika Singh |
242 |
Emerging Synergy: Green Healthcare System for Sustainable Healthcare Delivery in
Metropolitan Cities in India |
|
|
|
|
|
|
|
|
|
|
|
|
|
Timing |
12:00 pm-1:30 pm |
|
Track 2 |
Health Informatics and Pharmaceuticals |
|
Session 1 |
Metaverse Lab |
|
NAME |
PAPER ID |
TITLE |
|
ADITEE MATTOO |
141 |
Color Blindness and its Impact |
|
Suresh Palarimath |
108 |
Conceptual Framework for Endometrial Cancer Treatment Utilizing Digital Twins
and AI to Improve Clinical Decision Support in Cancer Care |
|
VINAY DWIVEDI |
230 |
A Review On Bone Cancer Detection Using Machine Learning |
|
Adarsh Pratap Singh |
184 |
A Comprehensive Study: Leverage the Power of Artificial Intelligence and Machine
Learning in Healthcare |
|
Nitesh Kumar Bairwa |
96 |
A Detailed Study on Artificial Intelligence Opportunities and Risks in
Healthcare |
|
Mayank Deep Khare |
246 |
Pollution Reduction and Vedic Science: Health Based Computer Scientist
Perspective |
|
|
|
|
|
Timing |
3:15 pm- 4:45 pm |
|
Track 2 |
Health Informatics and Pharmaceuticals |
|
Session 2 |
Metaverse Lab |
|
|
|
|
|
NAME |
PAPER ID |
TITLE |
|
Aadhya Dwivedi |
118 |
Your Doctor, One-Tap Away |
|
Sunita Rani |
195 |
Creation of Ontology in Healthcare: A Model to Support Automated Reasoning |
|
Shubh Laxmi |
116 |
Diagnosis of Skin Disease Using Hybrid Transfer Learning Technique |
|
Amita Shukla |
142 |
SVM and KNN comparison using a breast cancer Data Sets A Review |
|
Pulkit Shrivasta |
183 |
The Application of Composite Materials in Healthcare: A Promising Future |
|
|
|
|
|
|
|
|
|
Timing |
12:00 pm-1:30 pm |
|
Track 3 |
Internet of Things in Healthcare |
|
Session 1 |
Lab 201-E Block |
|
NAME |
PAPER ID |
TITLE |
|
Rimsha Khan |
29 |
IOT Application in Healthcare :Categorizing and Improving Patient Outcomes |
|
Dhiren Kumar Behera |
179 |
Intergenerational Advances in Technologies for a Healthier world: Responsiveness
versus Prevention Perspective |
|
ANKUR YADAV |
135 |
Nano UAV with gas detection for healthcare professionals |
|
Banti Chauhan |
39 |
Ensemble Machine Learning Techniques for Early Detection of Phishing Websites |
|
Raju |
47 |
Analysis of attacks, threats and vulnerabilities of IoT |
|
|
|
|
|
Timing |
3:15 pm- 4:45 pm |
|
Track 3 |
Internet of Things in Healthcare |
|
Session 2 |
Lab 201-E Block |
|
NAME |
PAPER ID |
TITLE |
|
Ruchika |
233 |
EFFICIENT HEALTHCARE SURVEILLANCE SYSTEMS USING CLOUD COMPUTING AND THE INTERNET
OF THINGS (IOT) |
|
devesh tripathi |
235 |
Modern Disease Monitoring System using IOT and Artificial Intelligence |
|
Ms. Oshin Misra |
219 |
Comparative Analysis of Emerging Technologies in Digital Twinning in healthcare
systems industry 4.0 |
|
Amita Shukla |
241 |
Soil Analysis system based on IoT |
|
Ayushi Pandey |
57 |
Prediction of Heart Disease Using Supervised Learning Models |
|
|
|
|
|
Timing |
12:00 pm-1:30 pm |
|
Track 4 |
Advanced Communication Technologies in Smart Healthcare |
|
Session 1 |
Lab 202-E Block |
|
NAME |
PAPER ID |
TITLE |
|
Preeti Rani |
225 |
GNRFET based Dynamic D Flip Flop Design |
|
APARNA KUMARI |
226 |
SMARTCOOLING MASK WITH REAL-TIME HUMAN IMMUNITY DETECTION LEVEL |
|
Vivek Kumar |
86 |
Safe guarding social network: An Exploration of advance cryptographic Algorithms
for Ensuring data security and integrity |
|
Rishabhh Tyagi |
202 |
Artificial Intelligence and Their Applications in Smart Farms and Precision
Agriculture |
|
Yasir arfat |
28 |
PROTECTING HEALTH AND LIVES WITH AN AUTOMATED SYSTEM FOR ACCIDENT PREVENTION AT
BLIND CURVES USING IOT |
|
|
|
|
|
Timing |
3:15 pm- 4:45 pm |
|
Track 4 |
Advanced Communication Technologies in Smart Healthcare |
|
Session 2 |
Lab 202-E Block |
|
NAME |
PAPER ID |
TITLE |
|
Akash Pal |
122 |
India Air Quality Analysis and Health Hazards on Respiratory Disease Patients
Using Deep Learning based Algorithms |
|
Ritisha Pal |
55 |
Medical Chatbot |
|
Arun Kumar Yadav |
48 |
Detection of Skin Cancer Using Vision Transformer |
|
Kartik Rai |
237 |
Delta Distillation to Improve Video Processing |
|
Varsha Bansal |
74 |
Artificial Intelligence in Medical Diagnosis |
|
|
|
|
|
|
|
|
|
|
|
|
|
Timing |
12:00 pm-1:30 pm |
|
Track 5 |
AR/VR and 3D Printing Applications in Healthcare |
|
Session 1 |
Lab 203-E Block |
|
NAME |
PAPER ID |
TITLE |
|
Gaurav shahi |
73 |
ADVANCED COMMUNICATION TECHNOLOGIES IN SMART HEALTH CARE: A REVIEW |
|
Manoj Dixit |
191 |
DECENTRALIZED ACCESS CONTROL WITH VERIFIED DATA COMMUNICATION OF HEALTHCARE DATA
IN THE CLOUD |
|
Aanchal Yadav |
127 |
Blockchain for Efficient Healthcare |
|
Aditi Awasthi |
156 |
ANALYSIS OF BRAIN TUMOR TYPES VIA CNN IN DEEP LEARNING |
|
Garima Jain |
247 |
OPTIMIZING CROP YIELD PREDICTION ACCURACY USING GENETIC
ALGORITHMS AND DEEP LEARNING: THE GA-EDL MODEL |
|
|
|
|
|
|
|
|
|
|
|
|
|
Timing |
3:15 pm- 4:45 pm |
|
Track 5 |
AR/VR and 3D Printing Applications in Healthcare |
|
Session 2 |
Lab 203-E Block |
|
NAME |
PAPER ID |
TITLE |
|
Vivek Kumar |
115 |
Comparing different NLP approaches for depression detection |
|
Shrey dubey |
13 |
blockchain in healthcare sector |
|
Rishabh Tyagi |
200 |
EMERGING TECHNOLOGIES IN HEALTHCARE: A NEW TOMMORROW |
|
Pulkit Shrivasta |
178 |
Applications of 4D Printed Nitinol: A Critical Review |
|
Suraj Joshi |
81 |
Brain Tumor Detection using Swin Transformers |
|
|
|
|
|
|
|
|
|
|
|
|
|
Timing |
12:00 pm-1:30 pm |
|
Track 6 |
Security and Privacy in Healthcare |
|
Session 1 |
Lab 204-E Block |
|
NAME |
PAPER ID |
TITLE |
|
Aryan Sharma |
232 |
USING DEEP LEARNING AND CONVOLUTIONAL NEURAL NETWORKS TO CLASSIFY SKIN CANCER |
|
Aditya Sharma |
203 |
Study of Security Trends in Healthcare Systems |
|
Pranshav Vikram |
15 |
Comparative Analysis of Emerging Technologies in Healthcare: Review |
|
Reeta Mishra |
245 |
A Survey on Machine Learning Techniques for Detecting Breast Cancer |
|
|
|
|
|
|
|
|
|
Timing |
3:15 pm- 4:45 pm |
|
Track 6 |
Security and Privacy in Healthcare |
|
Session 2 |
Lab 204-E Block |
|
NAME |
PAPER ID |
TITLE |
|
Dr. Mohammad Shahid |
238 |
An Integrated approach for brain tumor prediction by using Machine Learning and
Deep Learning Techniques |
|
Mudra Gupta |
240 |
Type-2 Diabetes detection using AIML techniques: Method and Evolution |
|
Sonia Arora |
129 |
Analyzing Deep Learning Techniques for Accurate Classification of Brain Tumors:
A Review of Methodologies and Models |
|
Sahil Shrivasta |
134 |
To Design and Develop Knee Support for the Elderly for Transferring Body Weight
to the Shoe |
|
Chaitali choudhary |
83 |
SARWAS: Next generation recommender system |
|
Bhawna Wadhwa |
217 |
Anonymization Algorithms for maintaining Privacy in EHR |
|
|
|
|
|
Poster Presentation |
Ayushi Pandey |
Display ground floor B Block |
|
Session Chair |
Mr. Pankaj, TCS |
|
|
NAME |
PAPER ID |
TITLE |
|
Ayushi Saxena |
43 |
Application of Artificial Intelligence and Machine Learning in Healthcare |
|
Tejas Kumar |
36 |
Artificial General Intelligence, Its Role in Healthcare, And The Risks Involved. |
|
Abhishek Kumar Singh |
101 |
A REVIEW ON RUMOUR DETECTION USING VARIOUS DEEP LEARNING APPROACHES |
|
|
|
|