Intelligent Data-Driven Systems with Innovations in Artificial Intelligence

Edited by Alvaro Rocha,Suneeta Satpathy,Sachi Nandan Mohanty,Tanupriya Choudhury

ISBN13: 9781041011170

Imprint: CRC Press

Publisher: Taylor & Francis Ltd

Format: Hardback

Published: 11/11/2025

Availability: Not yet available

Description
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.
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
  • Electrical engineering
  • Automatic control engineering
  • Professional & Vocational
  • Tertiary Education (US: College)
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List Price: £120.00