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 intelligence and machine learning, software engineering, automation, data science, business computing, data communication 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

About the Author :
Dr. Jaiteg Singh is an accomplished academician with 19 years of experience in research, development, and teaching in computer science and engineering. Possesses expertise in diverse fields like Neuromarketing, Navigation systems, Software Engineering, Business Intelligence, and Data Mining. He has supervised thirteen Ph.D. thesis and eighteen M.Tech thesis. He has generated significant consultancy revenue, organized international conferences, published extensively in renowned journals indexed at reputed databases like Scopus and Web of Science. He has authored/ edited six books, secured four US copyrights, and even filed for over 50 patents. He is serving as reviewer for numerous journals from reputed publishers like Elsevier, Springer, Wiley, MDPI and IEEE. Email: Jaiteg.singh@chitkara.edu.in Dr. S B Goyal is a distinguished personality in the realm of Computer Science & Engineering, earned his Ph.D. from Banasthali University, Rajasthan, India, in 2012. With over two decades of rich experience spanning both national and international levels, he has made significant contributions to the academic and administrative sectors of numerous institutions. Dr. Goyal’s unparalleled curiosity and dedication to staying abreast of the latest IT developments have established him as an authority in Industry 4.0 technologies. His expertise encompasses a wide range of cutting-edge fields, including Big Data, Data Science, Artificial Intelligence, Blockchain, and Cloud Computing. Dr. Goyal actively participates in panel discussions, sharing his knowledge on Industry 4.0 technologies in both academic and industry platforms. His editorial prowess is recognized through his contributions as a reviewer, guest editor, and co-editor for numerous International Journals and Scopus books published by prestigious organizations like IEEE, Inderscience, IGI Global, and Springer. An esteemed IEEE Senior member since 2013, Dr. Goyal has an impressive record of contributions to Scopus/ SCI journals and conferences as an editor. His innovative spirit is further evidenced by his possession of over 10 international patents and copyrights from countries including Australia, Germany, Japan, and India. Throughout his illustrious career, Dr. Goyal has been the recipient of numerous academic excellence awards at both national and international levels. Currently, he holds the esteemed position of Director at the Faculty of Information Technology, City University, Malaysia. His commitment to emerging technologies continues to inspire and pave the way for future innovations and technological advancements. Email: sb.goyal@city.edu.my Dr. Rajesh Kumar Kaushal is a highly accomplished and dedicated researcher and educator, boasting a robust background in Computer Science and Engineering, and accumulating an extensive 19 years of experience in academia since 2004. Holding a Ph.D. in Computer Science and Engineering from Chitkara University, Punjab, India, he currently serves as a professor in the Department of Computer Applications and actively contributing to research endeavors. Dr. Kaushal’s prolific research output is evident through his involvement in more than 60 patent filings, with one of them being published in the World Intellectual Property Organization (WIPO) and 15 being granted. Additionally, he has taken on the role of Project Manager in a DST-funded project titled “Smart and Portable Intensive Care Unit,” supported by the Millennium Alliance (FICCI, USAID, UKAID, Facebook, World Bank, and TDB DST). Furthermore, he served as a Co-Principal Investigator in another DST-funded project named “Remote Vital Information and Surveillance System for Elderly and Disabled Persons,” under the Technology Intervention of Disabled and Elderly (TIDE) scheme of the Ministry of Science & Technology, Government of India. Presently he is working on another DST funded project named “Smart Ergonomic Portable Commode Chair” under the DST TIDE scheme. He is also actively contributing the research community in the area of Blockchain and Internet of Things and have published more than 55 research papers and all of them are either indexed in SCOPUS or SCI. Additionally, he serves as a visiting professor at Kasetsart University in Sakon Nakhon, Thailand, and actively participates as a reviewer for the peer-reviewed journal “Technology, Knowledge & Learning.” Recognizing his exceptional contributions to education, Dr. Kaushal has been honoured with the Teacher Excellence Award twice, receiving the accolade in both 2017 and 2019 from Chitkara University, Punjab, India. In 2017, he earned the Teacher Excellence Award in the category of “Most Enterprising,” and in 2019, the recognition was bestowed upon him in the category of “Most Enterprising & Emerging Leader.” Email: rajesh.kaushal@chitkara.edu.in Dr Naveen Kumar is a distinguished academician and researcher with a Ph.D. in Computer Science and Engineering, boasting over 25 years of rich experience in both teaching and research domains. His journey includes notable contributions as a research fellow at PGIMER, Chandigarh, where he actively contributed to a Department of Science & Technology (DST) funded project titled “Closed Loop Anaesthesia Delivery System.” Currently serving as an Associate Professor at Chitkara University Research and Innovation Network (CURIN) within the Research Department of Chitkara University, Punjab, Dr Naveen Kumar continues to be at the forefront of cutting-edge research initiatives. His dedication to academic excel>lence is evident through his extensive engagement in research activities, reflected in his impressive track record. Dr. Naveen Kumar’s expertise extends to intellectual property rights, with a remarkable portfolio comprising over 70 filed patents, of which more than 30 have been granted. Furthermore, his contributions to scholarly literature are substantial, with over 50 research articles published across various prestigious journals and conferences. His commitment to knowledge dissemination is highlighted by his author>ship of the book “Workshop Practice,” published by Abhishek Publication. He is actively engaged in many Govt. funded research projects and presently he is working on a research project as a Principal Investigator “Smart Ergonomic Portable Commode chair”. This initiative, supported by the Technology Intervention for Disabled and Elderly (TIDE) scheme under the Ministry of Science & Technology, Government of India, underscores his dedication to innovation for societal welfare. Recognizing his exceptional contributions, Dr. Naveen Kumar has been honoured with prestigious awards, including the Teacher Excellence Award for “Most Collaborative” in 2019 and the Extra Mural Funding Award in 2021, both conferred by Chitkara University, Punjab, India. Email: Naveen.sharma@chitkara.edu.in Dr. Sukhjit Singh Sehra is currently working as an Assistant Professor at Wilfrid Laurier University, Waterloo, Canada. A proactive academician with extensive expe>rience teaching undergraduate and graduate courses in Machine Learning, Artificial Intelligence, Natural Language Processing, Spatial Data Science, and Big Data. He possesses strong analytical skills and proven expertise in large-scale spatial and unstructured textual datasets. He has supervised 19 master’s theses and published over 80+ peer-reviewed articles in journals and conferences. He possesses 18 + years of experience in research, academia, and industry. He worked at prestigious organi>zations in India and Canada, like Guru Nanak Dev Engineering College, Ludhiana, Punjab and Elocity Technologies, Canada He is actively involved in the usability and application of technology to solve social problems. He is a Co-Founder and Director at Sabudh Foundation, India. A data science organization for social initiatives (http://sabudh.org) to develop an incubation center of artificial intelligence and machine learning for the youth of India. Email: ssehra@wlu.ca