Applied Data Science and Smart Systems

The Second International Conference on Applied Data Science and Smart Systems (ADSSS-2023) was held on 15-16 December 2023 at Chitkara University, Punjab, India. This multidisciplinary conference focussed on innovation and progressive practices in science, technology, and management. The conference successfully brought together researchers, academicians, and practitioners across different domains such as artificial intel>ligence and machine learning, software engineering, automation, data science, business computing, data com>munication, and computer networks. The presenters shared their most recent research works that are critical to contemporary business and societal landscape and encouraged the participants to devise solutions for real>world challenges. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.

Table of Contents:
Preface, 1. AI-driven global talent prediction: Anticipating international graduate admissions, 2. English accent detection using hidden Markov model (HMM), 3. Study of exascale computing: Advancements, challenges, and future directions, 4. Production of electricity from urine, 5. Deep learning-based finger vein recognition and security: A review, 6. Development of an analytical model of drain current for junctionless GAA MOSFET including source/drain resistance, 7. Crop recommendation using machine learning, 8. Environment and sustainability development: A ChatGPT perspective, 9. GAI in healthcare system: Transforming research in medicine and care for patients, 10. Fuzzy L-R analysis of queue network with priority, 11. Blood bank mobile application of IoT-based android studio for COVID-19, 12. Selection of effective parameters for optimizing software testing effort estimation, 13. Automated detection of conjunctivitis using convolutional neural network, 14. An overview of wireless sensor networks applications, challenges and security attacks, 15. Internet of health things-enabled monitoring of vital signs in hospitals of the future, 16. Artificial intelligence-based learning techniques for accurate prediction and classification of colorectal cancer, 17. SLODS: Real-time smart lane detection and object detection system, 18. Computational task off-loading using deep Q-learning in mobile edge computing, 19. A comprehensive analysis of driver drowsiness detection techniques, 20. Issues with existing solutions for grievance redressal systems and mitigation approach using blockchain network, 21. A systematic approach to implement hyperledger fabric for remote patient monitoring, 22. Developing spell check and transliteration tools for Indian regional language – Kannada, 23. Real-time identification of traffic actors using YOLOv7, 24. Revolutionizing cybersecurity: An in-depth analysis of DNA encryption algorithms in blockchain systems, 25. Exploring recession indicators: Analyzing social network platforms and newspapers textual datasets, 26. NIRF rankings’ effects on private engineering colleges for improving India’s educational system looked at using computational approaches, 27. Analysis of soil moisture using Raspberry Pi based on IoT, 28. Drowsiness detection in drivers: A machine learning approach using hough circle classification algorithm for eye retina images, 29. Optimizing congestion collision using effective rate control with data aggregation algorithm in wireless sensor network, 30. DDoS attack detection methods, challenges and opportunities: A survey, 31. A review of privacy-preserving machine learning algorithms and systems, 32. Optimization techniques for wireless body area network routing protocols: Analysis and comparison, 33. Securing the boundless network: A comprehensive analysis of threats and exploits in software defined network, 34. A bibliometric analyses on emerging trends in communication disorder, 35. Enhancing latency performance in fog computing through intelligent resource allocation and Cuckoo search optimization, 36. Pediatric thyroid ultrasound image classification using deep learning: A review, 37. Hybrid security of EMI using edge-based steganography and three-layered cryptography, 38. Efficient lung cancer detection in CT scans through GLCM analysis and hybrid classification, 39. Newton Raphson method for root convergence of higher degree polynomials using big number libraries, 40. The influence of compact modalities on complexity theory, 41. Designing a hyperledger fabric-based workflow management system: A prototype solution to enhance organizational efficiency, 42. Exploring Image Segmentation Approaches for Medical Image Analysis, 43. Design and performance analysis of electric shock absorbers, 44. Integrating metaverse and blockchain for transparent and secure logistics management, 45. A systematic study of multiple cardiac diseases by using algorithms of machine learning, 46. Forecasting mobile prices: Harnessing the power of machine learning algorithms, 47. Deep learning-based chronic kidney disease (CKD) prediction, 48. Cattle identification using muzzle images, 49. Simulation-based evaluating AODV routing protocol using wireless networks, 50. Smart agriculture using machine learning algorithms, 51. Cloud computing empowering e-commerce innovation, 52. Navigating blockchain-based clinical data sharing: An interoperability review, 53. Analysis of data backup and recovery strategies in the cloud, 54. Landslide identification using convolutional neural network, 55. Retinal vessel segmentation using morphological operations, 56. Liver segmentation using shape prior features with Chan-Vese model, 57. Online video conference analytics: A systematic review, 58. Sales analysis: Coca-Cola sales analysis using data mining techniques for predictions and efficient growth in sales, 59. Statistical analysis of consumer attitudes towards virtual influencers in the metaverse, 60. Quantum dynamics-aided learning for secure integration of body area networks within the metaverse cybersecurity framework, 61. An optimized approach for development of location-aware-based energy-efficient routing for FANETs, 62. Quantum cloud computing: Integrating quantum algorithms for enhanced scalability and performance in cloud architectures, 63. Integrating AI-enabled post-quantum models in quantum cyber-physical systems opportunities and challenges, 64. Adaptive resource allocation and optimization in cloud environments: Leveraging machine learning for efficient computing, 65. Quantum deep learning on driven trust-based routing framework for IoT in the metaverse context, 66. Advancing network security paradigms integrating quantum computing models for enhanced protections, 67. Optimizing 5G and beyond networks: A comprehensive study of fog, grid, soft, and scalable computing models, 68. Smart protocol design: Integrating quantum computing models for enhanced efficiency and security, 69. Efficient IIoT framework for mitigating Ethereum attacks in industrial applications using supervised learning with quantum classifiers, 70. Quantum computing in the era of IoT: Revolutionizing data processing and security in connected devices, 71. A federated learning approach to classify depression using audio dataset, 72. Securing IOT CCTV: Advanced video encryption algorithm for enhanced data protection, 73. A comprehensive review of federated learning: Methods, applications, and challenges in privacy-preserving collaborative model training, 74. Review of techniques for diagnosis of Meibomian gland dysfunction using IR images, 75. The impact of unstable symmetries on software engineering, 76. Integrating quantum computing models for enhanced efficiency in 5G networking systems, 77. Micro-expressions spotting: Unveiling hidden emotions and thoughts, 78. Artificial intelligence and machine vision-based assessment of rice seed quality