1st Edition
Next Generation Computing and Information Systems Proceedings of the 2nd International Conference on Next Generation Computing and Information Systems (ICNGCIS 2023), December 18-19, 2023, Jammu, J&K, India
The proceedings of the 2nd International Conference on Next-Generation Computing and Information Systems (ICNGCIS'23) includes research papers in diverse emerging domains such as AI, blockchain, web 3.0, metaverse and edge computing apart from traditional domains such as distributed computing and networks and cybersecurity.
The proceedings include papers addressing currently relevant research issues such as smart contract security, interoperability in the metaverse, AI applications in healthcare, agriculture and related domains. The proceedings encompass findings with real-world implications for the growth and evolution of modern computing and information systems by addressing various challenges related to their design, deployment, operational aspects, performance and shortcomings.
The intended audience for the proceedings of ICNGCIS'23 include researchers from industry and academia, practitioners, students, technology enthusiasts and even general audience looking to explore interesting applications, use-cases and fundamental issues in modern computing and information systems.
KEYNOTES
Fast Reinforcement Learning
Sartaj Sahni
Global Cooperative Digital Forensics in the Era of Artificial Intelligence
S. Sitharama Iyengar
Why Multilayer Networks are Needed for Complex Data Analysis
Upendranatha Sharma Chakravarthy
Impact of Artificial Intelligence on High-Penetration Renewable Physical Infrastructure
Arif Sarwat
Collaborative Attacks and Defense
Bharat Bhargava
REGULAR PAPERS
1. Distributed-Computing based Versatile Healthcare Services Framework for Diagnostic markers
Venkata Chunduri, Bhargavi Posinasetty, Mukesh Soni, Haewon Byeon
2. Supervised Context-Aware Latent Dirichlet Allocation-based Drug Recommendation Model
Gopaldas H Waghmare, Bhargavi Posinasetty, Mohammad Shabaz, Saima Ahmed Rahin, Abhishek Choudhary, Seena K
3. Combination Kernel Support Vector Machine based Digital twin Model for Prediction of Dyslexia in Distributed Environment
H. Kareemullah, Aadam Quraishi, Prashant G C, Mohammad Shabaz, Archana Kollu, Mukta Sandhu
4. Time Series Analysis of Vegetation Change Using Remote Sensing, GIS and FB Prophet
Pushpendra Kushwaha, Azra Nazir, Rishita Bansal, Faisal Rasheed Lone
5. Advances in smart farming for precision agriculture: Green-IoT and machine learning as a solution
Monia Digra, Preeti Rajput, Pooja Sharma
6. Towards A Serverless Computing and Edge-Intelligence Architecture for the Personal-Internet-of-Things (PIoT)
Ankur Gupta, Surbhi Gupta
7. IOT and Developed Deep learning based Road Accident Detection System and Societal Knowledge Management
K. R. Ananth, Sarfraz Fayaz Khan, Abhishek Agarwal, Mohammed Wasim Bhatt, Ahmad Murtaza Alvi, Sheshang Degadwala
8. Healthcare CAD Model for Hierarchical Processing of Surgical Navigation System
Niladri Maiti, Arun Kumar Maurya, Shri Ganesh V. Manerkar, Mohammad Shabaz, Sheshang Degadwala, Raj A. Varma
9. Applicability of Eye Tracking Technology in Virtual Keyboard for Human-Computer Interactions
Heena Wadhwa, Keshvi Dhir, Lokesh Deswal
10. A Digital Twin Framework for Smart Contract-based DeFi applications in the Metaverse: Towards Interoperability, Service Scaleup & Resilience
Ankur Gupta, Surbhi Gupta, Saurabh Sharma
11. A Novel Approach to Glass Identification using Ensemble Learning for Forensics
Priyansh Sanghavi, Mahir Mehta, Tarang Ghetia, Yogesh Kumar
12. Deep Learning-Based Cognitive Digital Twin System for Wrist Pulse Diagnostic and Classification
Jitendra Kumar Chaudhary, T. Parimalam, Faisal Yousef Alghayadh, Ismail Keshta, Mukesh Soni, Sheshang Degadwala
13. Multi-Class Instance Segmentation for the Detection of Cervical Cancer Cells Using Modified Mask RCNN
Diksha Sambyal, Abid Sarwar
14. Dilated Convolution Model for Lightweight Neural Network
Sachin Gupta, Priya Goyal, Bhuman Vyas, Mohammad Shabaz, Suchitra Bala, Aws Zuhair Sameen
15. Artificial Intelligence Based Monte Carlo Model for Epidemic Forecasting for Societal Aspect
M. Vijayakumar, Yana Batla, Mukesh Soni, Mohan Raparthi, Aws Zuhair Sameen, Sheshang Degadwala
16. Efficient Data Visualization through Novel Recurrent Neural Network-Based Dimension Reduction
Saurabh Sharma, Shafalika Vijayal, Navin Mani Upadhyay
17. An optimized CNN based model for Pneumonia Detection
Samridhi Sharma, Suditi Seth, Faisal Rasheed Lone*, Azra Nazir
18. EEG-Based Emotion Recognition: Leveraging CNNs for Precision
Ayushi Kotwal, Vishal Gupta*, Meetali Verma, Jatinder Manhas, Vinod Sharma
19. A Seven Layer DNN Approach for Social-Media Multilevel Image-based Text Classification
Veena Tripathi; Navin Mani Upadhyay; Saurabh Sharma*
20. CNN Based Self Attention Mechanism for Cross Model receipt Generation for Food Industry
Priya Goyal, Sachin Gupta, Renato R Maaliw III, Mukesh Soni*, Alikulov Azamat Tuygunovich, Aws Zuhair Sameen
21. Re-Weighting X-Ray images Classification using Multi-class Deep learning CNN Models
Saurabh Dhanik, Bhargavi Posinasetty, Mohammed Wasim Bhatt*, Renato R Maaliw III, Haewon Byeon, Aws Zuhair Sameen
22. Machine Learning-Based Approaches for the Diagnosis and Detection of Brain Stroke
Trupti Panchal*, Sugayaalini Ramasubramanian, Yogesh Kumar
23. Predicting Asthma Control Test Score using Machine Learning Regression Models
Krishna Modi*, Ishbir Singh, Yogesh Kumar
24. An Approach for Early Prediction of Multi-Disease using ML Techniques
Vani Malagar, Mekhla Sharma, Navin Mani Upadhyay
25. Early Prediction of Down Syndrome using Deep Transfer Learning-Based Approaches
Nirmit Patel*, Tarang Ghetia, Devraj Jhala, Shubh Kapadia, Yogesh Kumar
26. Automated Diabetes Diagnosis and Risk Assessment using Machine Learning
Deep Mathukiya, Yogesh Kumar, Apeksha Koul
27. Machine Learning-Based Approaches for Automated Hypertension Detection
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar
28. Deep Learning based Multiple Regression Analysis Approach for designing Medical Image Recognition System
Shweta Singh, A N Jagadish, Bhuman Vyas, Mohammed Wasim Bhatt, Aws Zuhair Sameen, Sheshang Degadwala
29. Detection and Diagnosis of Different Types of Bone Cancer Using Deep Learning-Based Approaches
Harshit Vora*, Seema Mahajan, Yogesh Kumar
30. Optimized Deep Learning Models Based-Sentiment Analysis Approach for Identifying Healthcare Rumors Over Social Media
Pramod Kumar, Ela Vashishtha, Faisal Yousef Alghayadh, Mohammed Wasim Bhatt*, Suchitra Bala, Sreejitha T S
Biography
Prof. Ankur Gupta is the Director at the Model Institute of Engineering and Technology, Jammu (India), besides being a Professor at the Dept. of Computer Science and Engineering. He has 25+ years of experience spanning industry and academia. Prior to joining MIET, he worked as a Team Leader at Hewlett-Packard, India at Bengaluru. He has 85 published research papers in international journals/conferences. Prof. Gupta holds B.E (Hons.) CS and MS degrees from BITS, Pilani and PhD from NIT, Hamirpur. He has 11 patents granted and 34 patents filed at the Indian Patents Office. He is the inventor of the Performance Insight 360, quality analytics framework for higher education which has received several accolades. He has received the DSFT-FIST Grant in 2012, first in the private sector in J&K and received competitive grants over Rs. 2.5 Crore from various funding agencies. He is a recipient of the AICTE Career Award, faculty awards from IBM, EMC and Rs. 2 crores in funding from Govt. agencies. He is also Senior member IEEE and ACM and founder of the International Journal of Next-Generation Computing. His research interests are in cloud computing, P2P networks, network management, artificial intelligence and metaverse.
