Intelligent Data-Driven Systems with Innovations in Artificial Intelligence

1. Auflage 2025
ISBN: 978-1-041-01117-0
Verlag: CRC Press

Buch, Englisch, 496 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Intelligent Data-Driven Systems and Artificial Intelligence

The book showcases the forefront of artificial intelligence with an in-depth examination of cutting-edge advancements, with technologies such as deep learning, neural networks, transfer learning, human-artificial intelligence collaboration, and sentiment analysis. • Explores the forefront of artificial intelligence with an in-depth examination of cutting-edge advancements, with technologies such as deep learning, neural networks, and transfer learning.

- Discusses the realm of voice assistants, exploring how artificial intelligence enhances natural language processing and voice recognition capabilities and revolutionizes human-computer interaction paradigms.

- Provides insights into how deep learning, neural networks, machine learning, and data science intersect with broader ethical considerations, addressing issues such as transparency, and societal impact.

- Covers human-artificial intelligence collaboration and healthcare applications of artificial intelligence and data analytics.

- Explains generative adversarial networks and advanced techniques in recommender systems.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Satpathy, Suneeta

Rocha, Alvaro

Mohanty, Sachi Nandan

Choudhury, Tanupriya

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

Preface

About the editors

List of Contribtours

Section 1: AI and Machine Learning in Healthcare

Chapter 1 Machine Learning Approaches for Revolutionizing Brain Stroke Analysis

Debangi Choudhury, Alok Ranjan Tripathy

Chapter 2 Tuberculosis Detection Using Pre-Trained Deep Learning Approaches

Om Prakash Jena, Mukesh Soni, Parthasarathi Pattanayak, Himanshu Sekhar Acharya, Sudhansu Shekhar Patra and Puspanjali Mallick

Chapter 3 Depression Detection with Hybrid Machine Learning Approach on Twitter Data

Abhilipsa Padhy and Ishan Das

Chapter 4 Machine Learning-Based Voice Analysis for Parkinson’s Disease Diagnosis

Mohit Agarwal

Chapter 5 A Light Gradient Boosting Model for Identification of Coronary Artery Disease

Shiva Shankar Reddy, Gadiraju Mahesh, V.V.R. Maheswara Rao, N.Silpa, K VSSR Murthy, K. Amrutha

Chapter 6 Improving ECG Diagnostic Accuracy with Advanced Image Pre-processing and Hybrid CNN-LSTM Models

CHAMARTHI DEEPAK

Chapter 7 LLD-Net: A Deep Learning-Driven Web Application for Lung and Liver Disease Classification from Medical Diagnostic Imaging

Aditya Patil, B. Suraj Kumar Goud, Thummala Hasitha, and Tauseef Khan

Chapter 8 Comparing Subjective and Objective Sleep Assessments: Insights from Actigraphy and Self-Reported Measures

Toral Desai

Section 2: Deep Learning for Medical Imaging and Disease Prediction

Chapter 9 A Combination of CNN and Fuzzy Transform Framework for Accurate Brain Tumor Detection

Gokapay Dilip Kumar and Kalluru Jahnavi and

Gogudupalem Hemasree and Velpula Siva Reddy

Chapter 10 Novel Method for Assessing the Effectiveness of the Deep Learning-Based Unet Model in Forecasting Brain Tumors Using MRI Scans

Gokapay Dilip Kumar, Satyavarapu Khushi, Seethama Reddy, Gari Navya, Kodavanti Sravya, Sinduluri Tejasree

Chapter 11 OrganiQ-Net: A Multi-Modal Approach to Organ Viability Prediction

Gokapay Dilip Kumar and Koyi Sai Vaishnavi and DS Pranitha and Jarugu Prajwala and Bapanapalli Baji

Chapter 12 Optimized Deep Learning Framework for Lung Cancer Detection in Computed Tomography Scans

Gokapay Dilip Kumar, Sohil Subramanyam.C,

Sri Kumaran R P, Aadinath Harilal, Gaurav Sudish Kumar

Section 3: AI in Mental Health and Psychological Analysis

Chapter 13 Analyzing Psychological Impact of Immigration Using Twitter Sentiment Analysis

Toral Desai

Chapter 14 Enhancing Psychotherapy Attachment Assessment through RoBERTa-Based Language Models

Toral Desai

Chapter 15 Exploring the Neurological Impact of Vipassana Meditation: A Journey into Brain Function and Anatomy

Toral Desai

Chapter 16 Innovative Stress and Anxiety Relief Therapy Initiative: Evaluating the Effectiveness of Machine Learning and Deep Learning Techniques on EEG Data in SAARTHI

Janhvi Gandhia, Dwiti Choksia, Priyansh Bindroob, Sudhir Dhekanea, Deepali Patilb, Lakshmi Kurupc

Section 4: AI in Smart Systems and Automation

Chapter 17 Intelligent Traffic Safety: A Real-Time Accident Detection and Emergency Response System Using YOLOv8 and OpenCV

Gokapay Dilip Kumar, Rohith Vishnu Kumar Bugide and Ram Adarsh Kotha

Chapter 18 Adaptive Vision-Based Human Fall Detection in Dynamic Environments Using YOLO-Pose

Anurag De, Arindam Dey, Ashish Singh, Meghna Dutta, Darshan Sheregar and Vikas Grover

Chapter 19 Smart Interaction: Deep Learning-Based Hand Gesture Recognition

Veda Nanda Gaddam, Suraj Karra, Narasimha Neeli and Kritika Bansal

Chapter 20 Improving KUI Spoken Digit Recognition Using Convolutional Neural Networks

Subrat Kumar Nayak, Ajit Kumar Nayak, Smitaprava Mishra, Nrusingha Tripathy, Prithviraj Mohanty, Jogeswar Tripathy

Chapter 21 An Improved Ensemble Classifier Model to Combat the Escalating Threat of Viral Infections

Vikas B, Shalini Ramanathan, G Sucharitha, Sirisha Potluri, Puranam Revanth Kumar, K.Manasa Mrunaalini, K.Dheeptha

Section 5: AI Applications in Social Media, Finance, and Education

Chapter 22 The Impact of COVID-19-Related Online Networking Sites Use on Wellness: Insights from a 34-Wave Longitudinal Study

Toral Desai

Chapter 23 TWITTER SENTIMENT ANALYSIS ON COVID-19 AND EDUCATION

Awanish Kumar, Vedant Harshit, Alakananda Tripathy, Chinmayee Nayak,Prajna Paramita Debata

Chapter 24 Stock Trend Prediction with LSTM-Based Recurrent Neural Networks

Gokapay Dilip Kumar and Challa Naga Dhanunjaya,

Kesapuram Yaswanth and Golla Jaswanth and PVS Abhishek

Chapter 25 Sustainable Education Through AI-Driven Monitoring and Risk Management

Anas Abdullah

Section 6: AI in Scientific Research and Advanced Computing

Chapter 26 Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models

Kartik Gupta

Chapter 27 Dynamic Collaborative Filtering for Book Recommendations: Incorporating Real-Time User Interactions

P. Kavya Snigdha, M. Lahari, K. Pranay Goud, and Mukta Jagdish

Chapter 28 Expanding Perceptions: Alleviating Claustrophobia and Enhancing Cognitive Performance Using Virtual Windows in VR Environments

Toral Desai

Chapter 29 Ontology-Driven Approaches in Cloud Service Discovery and Selection: A Review

Manoranjan Parhi, Abhilash Pati, Amrutanshu Panigrahi, Alakananda Tripathy and Ashis Kumar Pati

Chapter 30 Analysis of Emerging Deep Learning Techniques for Enhanced Real-Time Object Detection and Classification

R.Priyadharshini, P.Shanthi Bala, C.Kaviyazhiny, and S.Ajeeth

Chapter 31 Revolutionizing Healthcare Using Generative AI

Sumati Baral,  Suneeta Satpathy Roshina Priyadarshini Rabinarayan Satpathy, *Ajit Baral

Über Autor(innen)

Dr. Suneeta Satpathy is currently working as an Associate Professor, Center for Cyber Security, SOA University, Bhubaneswar, Odisha. She has received her Ph.D. from Utkal University, Bhubaneswar, Odisha, in the year 2015, with Directorate of Forensic Sciences, MHA scholarship from Govt of India. Her research interests include Computer Forensics, Cyber Security, Data Fusion, Data Mining, Big Data analysis, and Decision Mining. She has edited books in association with Springer, Wiley and CRC AAP Publications. In addition to research, she has guided many post-graduate and graduate students. She has published papers in many International Journals and conferences in repute. Her professional activities include roles as editorial board member and/or reviewer of Journal of Engineering Science, Advancement of Computer Technology and Applications, Robotics and Autonomous Systems (Elsevier), computational and Structural Biotechnology Journal (Elsevier), Journal of Big Data (Springer) as well as InderScience Journals. She is an active member of CSI, ISTE, OITS, IE, Nikhil Bharat Shiksha Parisad and IEEE.

Dr. Álvaro Rocha is World's Top 2% Scientist by Stanford University (USA) and Elsevier, and World’s Top 1% Scientist by ResearchGate for the domains of Information Science and Information Systems. He is Professor at ISEG, University of Lisbon, Invited Full Professor at University of Calabria, Honorary Professor at Amity University, President of ITMA – Information and Technology Management Association, Vice-Chair of IEEE SMC Portugal Chapter, and Book Series Scientific Manager at Springer-Nature. He holds the title of Honorary Professor, and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science. He is researcher at the ADVANCE (the ISEG Centre for Advanced Research in Management), and a collaborator researcher at CINTESIS (Center for Research in Health Technologies and Information Systems). His main research interests are maturity models, information systems quality, online service quality, requirements engineering, intelligent information systems, e-Government, e-Health, and information technology in education. He is also Founder and Editor-in-Chief of both following Scopus and/or WoS journals: JISEM (Journal of Information Systems Engineering & Management) and RISTI (Revista Ibérica de Sistemas e Tecnologias de Informação / Iberian Journal of Information Systems and Technologies). Moreover, he has served as a Vice-Chair of Experts for the European Commission’s Horizon 2020 Program, and as an Expert at the COST - intergovernmental framework for European Cooperation in Science and Technology, at the European Commission’s Horizon Europe Program, at the Government of Italy’s Ministry of Universities and Research, at the Government of Latvia’s Ministry of Finance, at the Government of Mexico's National Council of Science and Technology, at the Government of Polish's National Science Centre, and at the Government of Cyprus's Research and Innovation Foundation.

Dr. Sachi Nandan Mohanty was recognized as Top 2% World Scientists Ranking by Stanford University and Elsevier for the years 2022, and 2023. He received his PostDoc from Indian Institute of Technology Kanpur, India in the year 2019 and Ph.D. from Indian Institute of Technology Kharagpur, India in the year 2015, with MHRD scholarship from Govt of India. He has authored/edited Forty two books, published by IEEE-Wiley, Springer, Wiley, CRC Press, NOVA and DeGruyter. His research areas include Data mining, Big Data Analysis, Cognitive Science, Fuzzy Decision Making, Brain-Computer Interface, Cognition, and Computational Intelligence. Prof. S N Mohanty has received four Best Paper Awards during his Ph.D. from International Conference at Benjing, China, and the other at International Conference on Soft Computing Applications organized by IIT Rookee in the year 2013. He was awarded the Best Thesis award first prize by the Computer Society of India in the year 2015. He has guided 9 PhD Scholar, twenty three Postgraduate students. He has published 241 International Journals of International repute. He has received 4th time International Travel support from Government of India, Department of Science and Technology, SERB Funding for presenting research paper and Keynote speaker. He has been elected as FELLOW of Institute of Engineers, IETE, Ambassador European Alliance Innovation (EAI), and Senior member of IEEE Computer Society Hyderabad chapter. He has been awarded by many awards and fellowship during his career and to name a few are Prof. Ganesh Mishra Memorial Award on 61st Annual Technical Session & 19th Prof. Bhubaneswar Behera Lecturer on 23-24th June 2020 from The Institution of Engineers (India) Odisha State Center, Bhubaneswar. He is a member of professional bodies like IETE, CSI, IE, IEEE (Hyderabad section). He is also the reviewer of Journal of Robotics and Autonomous Systems (Elsevier), Computational and Structural Biotechnology Journal (Elsevier), Artificial Intelligence Review (Springer), Spatial Information Research (Springer). He is leading as General chair of 2 international conferences such as ICISML, AIHC and editor in chief of international journal EAI Transaction on Intelligent System and Machine learning Application. Dr. Mohanty has gone for academic assignment to New York, Atlanta, Orlondo, Georgia, Paris, Slovakia, Singapore, Abu Dhabi, Saraja, Dubai, Malaysia, Istanbul, Viena, and Germany for delivering Keynote talk and chair the sessions in International conferences with travel support from Department of Science & Technology, Government of India, New Delhi, India.

Dr Tanupriya Choudhury, completed his undergraduate studies in Computer Science and Engineering at the West Bengal University of Technology in Kolkata (2004-2008), India, followed by a Master's Degree in the same field from Dr. M.G.R University in Chennai, India (2008-2010). In 2016, he successfully obtained his PhD degree from Jagannath University, Jaipur. With a total of 15 years of experience in both teaching and research, Dr. Choudhury holds the position of Visiting Professor at Daffodil International University Bangladesh. Currently, he is working as a Professor and Associate Dean of Research at Graphic Era Deemed to be University, Dehradun, India. Prior to this role, he served Symbiosis International Deemed University Pune, Graphic Era Hill University Dehradun (Research Professor), UPES Dehradun (Professor and Research Head Informatics), Amity University Noida (Assistant Professor Grade 3 and International Dept. Head), and other prestigious academic institutions (Dronacharya College of Engineering Gurgaon, Lingaya's University Faridabad, Babu Banarsi Das Institute of Technology Ghaziabad, Syscon Solutions Pvt. Ltd. Kolkata etc.). Recently recognized for his outstanding contributions to education with the Global Outreach Education Award for Excellence in Best Young Researcher Award at GOECA 2018. His areas of expertise encompass Human Computing, Soft Computing, Cloud Computing, Data Mining among others. Notably accomplished within his field thus far is filing 25 patents and securing copyrights for 16 software programs from MHRD (Ministry of Human Resource Development). He has actively participated as an attendee or speaker at numerous National and International conferences across India and abroad. With more than 150 research papers (Scopus) authored to date on record; Dr. Choudhury has also been invited as a guest lecturer or keynote speaker at esteemed institutions such as Jamia Millia Islamia University, Maharaja Agersen College (Delhi University), Duy Tan University Vietnam etc.He has also contributed significantly to various conferences throughout India serving roles like TPC member and session chairperson. As an active professional within the technical community; Dr.Choudhury holds lifetime membership with IETA (International Engineering & Technology Association) along with being affiliated with IEEE (Institute of Electrical and Electronics Engineers), IET(UK) (Institution of Engineering & Technology UK),and other reputable technical societies.Additionally, he is associated with corporate entities and serves as a Technical Adviser for Deetya Soft Pvt. Ltd., Noida, IVRGURU, and Mydigital360.He is also serving a Editor's in reputed Journals. He currently serves as the Honorary Secretary in IETA (Indian Engineering Teacher’s Association-India), alongside his role as the Senior Advisor Position in INDO-UK Confederation of Science, Technology and Research Ltd., London, UK and International Association of Professional and Fellow Engineers-Delaware-USA.