The 2nd International Conference on Recent Advances in Computing Sciences (RACS) was held from 29th to 30th November 2022 at Lovely Professional University, Jalandhar, India. The conference focused on discussing issues, exchanging ideas, and the most recent innovations towards advancing research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber-Security, Computational Sciences, Simulation and modeling, Business Analytics, and Machine Learning.
Table of Contents:
1. Integration of Contemporary Soft Computing Techniques in Networking: A Comprehensive Study
2. Innovative CAPTCHA Technique as an Enhanced Security Measure for Authentication
3. Artificial Intelligence-Inspired Framework for Video Surveillance Incorporating Object Detection with Unmanned Aerial Vehicles
4. A Review of Semantic Analysis and its NLP Tasks
5. Moving Beyond Serverless Edge Computing: Serverless Fog Computing for the Future IoT
6. Network Security and the Internet of Things, a Survey on Securing the Future
7. Performance Evaluation of a Novel Deep-Learning Based Method for Identification and Detection of Diabetic Foot Ulcers
8. Exploring Sentiment Analysis Techniques for Effective Customer Sentiment Understanding
9. Comparative Study of Network Slicing In 5G And 6G
10. An Investigation of Load Balancing Algorithm for Cloud Computing
11. Enhancing Organisational Performance: The Role of Employee Motivation in Indian Corporate Sectors
12. Evolving Energy Mix: Analyzing US Energy Production Trends
13. Future-Proofing Organisations: Predicting Employee Attrition with SVM
14. Data-Driven Sales Forecasting: A Machine Learning Approach
15. Bibliometric Analysis of Focused Web Crawlers for Information Retrieval using Web of Science from 1999 to 2023
16. Inclusive Technologies: A Paradigm Shift for Disabilities Using IoT
17. Finding and Interpreting Suicidal Ideation on Public Media Using Deep-learning and Machine Learning: A Review
18. A Novel Approach for Reducing the Single Point Failure in Software Defined Networks
19. Blockchain in Land Records Management for the State of Punjab, India: A Systematic
Review and Bibliometric Analysis
20. A Preliminary Investigation Exploring the Challenges and Implications of Cloud Computing
and Privacy Regulations
21. Ethical Implications of Widespread IoT Adoption: Data Privacy, Consent, and Surveillance
22. Sign Language Recognition Based on Real Time Application: A Review
23. An Analysis of Various Deep Learning Methods for Facial Recognition
24. Employee Attendance System based on Internet Protocol Address using Internet Addressing
25. Approach for Tamil Speech Recognition Using HMM
26. Improving Legal Text Classification through Data Augmentation Using Deep Learning Models
27. A Comparative Analysis Using Ensemble Machine Learning Model for Identification of Mastitis Illness in Cows
28. Enhancing Educational Efficiency and Sustainability with Green IoT
29. Groundbreaking Opportunities for Virtual Innovations and Digital Agriculture – A Module-Based Framework for Farming Digital Twin
30. Educational Quantum Leap: Adapting to a Changing World Through Quantum Computing
31. Redefining Healthcare with Quantum Computing: A Framework for Improved Efficiency
32. A Multilingual Exploration of Word Sense Disambiguation Using Transformer Models: “Dravidian and Devanagari Languages”
33. Impact of Data Science on Agriculture: Deep Insights of Big Data, Challenges, and Future Prospects
34. Facial Cartography: Navigating Expressions, Forehead Lines, and Ocular Features with CNN and SVM
35. Tumour Detection in MRI Brain Images Using Deep Learning Based Segmentation Strategies: A Review
36. A Comparative Analysis of Deepfake Detection Mechanism Using AI Architecture Models: ResNext-LSTM Architecture and MesoNet Architecture
37. Awareness and Preference Regarding Old and New Tax Regime: An Empirical Study of Salaried Tax Payers
38. Enhancing Heart Disease Prediction Using Spectrograms and Transfer Learning
39. Machine Learning-Based Categorization of White Blood Cells: Image Filtering and Deep Learning Analysis
40. Challenges and Complexities in Mobile Forensics: A Comprehensive Investigation
41. A Brief Review of E-Authentication, Cyber Security, and their Challenges
42. Leveraging Machine Learning Approaches to Gauge the Prevalence of Anxiety and Depression
43. An Efficient Prediction of Hepatocellular Carcinoma by Using Machine Learning Algorithms
44. Analysis on Approaches for Code Mixed Roman Urdu & English Sentiment Analysis
45. Brain Tumor Detection Using Deep Learning
46. Implementation of Convolutional Neural Network (CNN) using Vitis AI
47. Employment Prospects Prediction for Postgraduate Computer Science Students in Higher Educational Institutions
48. Analysis of Various Supervised Machine Learning Algorithms on a Curated Dataset for Hate Speech Detection
49. A Comprehensive Analysis of Soft Computing Techniques for Cardiovascular Disease Detection
50. Web Technologies: A Review
51. Face Recognition Technologies in Computer Vision – An Empirical Review
52. Review of Methods for Automatically Identifying and Diagnosing Mental Health Issues
53. A Categorical Review on Big Data Analytics
54. Fraud Detection Using Machine Learning Techniques: A Review
55. Adaptive Underwater Image Enhancement Model Based on Improved TAO Algorithm
56. A Smart Project Allocation System for Enhanced Student-Faculty Collaboration
57. Automated Cough Classification for COVID-19 Detection Using Machine Learning
58. Dew Computing Technologies and Their Impact on Cloud Resource Management
59. Innovative Framework for Domestic Waste Segregation to Alleviate Pressure on Waste Treatment Plants
60. Unveiling Hate Speech: Harnessing ML to Address Online Discrimination
61. IoT-Enabled Image Processing Approaches for Automated Plant Disease Detection: A Comparative Analysis
About the Author :
Manmohan Sharma is a Professor in the School of Computer Applications, Lovely Professional University, Punjab, INDIA.
Mintu Nath is a Senior Lecturer in Medical Statistics at the University of Aberdeen, UK working in collaboration with the National Health Service and other industry partners.
Sophiya Sheikh is an Associate Professor at the School of Computer Application, Lovely Professional University, Phagwara, Punjab, India.
Amar Singh is a Professor in the School of Computer Applications, Lovely Professional University, Punjab, India.
