Emerging Trends in Expert Applications and Security

Prof. (Dr.) Vijay Singh Rathore, Ph.D. (Computer Science), MCA, M.Tech. (CS), MBA, ICAD-USA, ICDA-USA, Diplomas in French and German, Professor-CSE and Director—OutReach, Jaipur Engineering College and Research Centre, Jaipur. Presently working as Professor-CSE and Director—OutReach, Jaipur Engineering College and Research Centre, Jaipur (India), and Membership Chair, ACM Jaipur Chapter, and Past Chairman, CSI Jaipur Chapter. He has teaching experience of 20+ years, 5 patents published, 20 Ph.D. supervised, published 94 research papers and 10 books and associated as editor and reviewer in some reputed journals, received 20+ national and international awards of repute. His core research areas include Internet security, cloud computing, big data, and IoT. He has organized and participated in 25+ national and international conferences of repute. His foreign visits for various academic activities (Delegate/Invited/Keynote Speaker/Session Chair/Guest) include the USA, UK, Canada, France,Netherlands, Singapore, Thailand, Vietnam, Nepal, etc. He had been Member of Indian Higher Education Delegation and visited 20+ leading universities at Canada (May 2019), UK (July 2017), and the USA (August 2018) supported by AICTE and GR foundation. Other delegation visits include University of Amsterdam (2016), Nanyang Technological University, Singapore (2018), University of Lincoln, QMUL, Brunel University, and Oxford Brookes University (2020) for discussions on academic and research collaborations. He is Active Academician and always welcoming and forming innovative ideas in the various dimensions of education and research for the better development of the society.Prof. Vincenzo Piuri has received his Ph.D. in computer engineering at Polytechnic of Milan, Italy (1989). He is Full Professor in computer engineering at the University of Milan, Italy (since 2000). He has been Associate Professor at Polytechnic of Milan, Italy, Visiting Professor at the University of Texas at Austin, USA, and Visiting Researcher at George Mason University, USA. His main research interests are artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, cloud computing infrastructures, and Internet of Things. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters. He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He is IEEE Region 8 Director-elect (2021-22) and will be IEEE Region 8 Director (2023-24).Rosalina Babo is Coordinator Professor (Tenure) of Information Systems Department, Porto Accounting and Business Scholl of Polytechnic of Porto (ISCAP/ P.Porto), Portugal. From 2000 to 2022, Rosalina was Head of the Information SystemsDepartment and for about 12 years acted as Member of the university scientific board. Rosalina's international recognition was improved with the opportunity to be Visiting Professor at several universities in different countries, namely Belgium (KU LEUVEN), Croatia (University of Split), Kosovo (University of Prishtina), and Latvia (Latvia University of Agriculture). Rosalina was one of the founders of CEOS.PP (former CEISE/STI) research center and its Director for 5 years. Rosalina has served on committees for international conferences and acts as Reviewer in scientific journals and conferences. As Book Editor, Rosalina collaborates with publishers such as Elsevier, Springer, and IGI Global in the fields of data analysis in social networks and e-learning. Having several published papers, her main areas of research are e-learning, e-assessment, e-business, Internet applications focusing on usability, and social networks.Marta Campos Ferreira is Researcher and Invited Assistant Professor at Faculty of Engineering of University of Porto. She holds a Ph.D. in Transportation Systems from the Faculty of Engineering of University of Porto (MIT Portugal Program), an M.Sc. in Service Engineering and Management from the Faculty of Engineering of University of Porto, and a Lic. in Economics from the Faculty of Economics of University of Porto. She is Co-Founder and Co-Editor of the Topical Collection "Research and Entrepreneurship: Making the Leap from Research to Business" with SN Applied Sciences and Associate Editor of the International Journal of Management and Decision Making. She has been involved in several R&D projects in areas such as technology-enabled services, transport, and mobility. Her current research interests include service design, human-computer interaction, data science, knowledge extraction, sustainable mobility, and intelligent transport systems.

• Chapter 1. Deep learning based approach in automatic microscopic bacterial image classification.- Chapter 2. Deep learning based Recognition and Classification of Different Network.- Chapter 3. Lipid Concentration Effects on Blood Flow through Stenosed Tube.- Chapter 4. Single-Phase Bidirectional AC_DC Converters for Fast DC-Bus Voltage Controller.- Chapter 5. Padam Persona - Personalizing Text to Image using Artificial Intelligence.- Chapter 6. AUTODUBS_ Translating And Dubbing Videos.- Chapter 7. Deep neural based learning of EEG features using spatial, temporal and spectral dimensions across different cognitive workload of human brain_ dimensions, methodologies, research challenges and future scope.- Chapter 8. A Framework for Classification of Nematodes species using Deep learning.- Chapter 9. CAD Model for Biomedical Image Processing for Digital  Assistance.- Chapter 10. Natural Language Processing Workload Optimization using Container based Deployment.- Chapter 11. NDVI Indicator based Land use _Land Cover Change analysis us-ing Machine Learning and Geospatial Techniques at Rupnarayan River basin, West Bengal, India.- Chapter 12. Prediction of Anemia using Naïve – Bayes Classification Algorithm in Machine Learning.- Chapter 13. An Methodology for the Energy Aware Clustering and Aggregate Node Rotation with Sink Relocation in MANET.- Chapter 14. Differential Evolution Algorithm  Based Optimization of  Networked Micro grids.- Chapter 15. OBD II-based performance analysis based on fuel usage of vehicles. etc.