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.
Table of Contents:
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
Section 2: Deep Learning for Medical Imaging and Disease Prediction
Chapter 8 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 9 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 10 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 11 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 Smart Systems and Automation
Chapter 12 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 Applications in Social Media, Finance, and Education
Chapter 13 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 14 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 15 Smart Interaction: Deep Learning-Based Hand Gesture Recognition
Veda Nanda Gaddam, Suraj Karra, Narasimha Neeli and Kritika Bansal
Chapter 16 Improving KUI Spoken Digit Recognition Using Convolutional Neural Networks
Subrat Kumar Nayak, Ajit Kumar Nayak, Smitaprava Mishra, Nrusingha Tripathy, Prithviraj Mohanty, Jogeswar Tripathy
Chapter 17 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 4: AI Applications in Social Media, Finance, and Education
Chapter 18 TWITTER SENTIMENT ANALYSIS ON COVID-19 AND EDUCATION
Awanish Kumar, Vedant Harshit, Alakananda Tripathy, Chinmayee Nayak,Prajna Paramita Debata
Chapter 19 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 20 Sustainable Education Through AI-Driven Monitoring and Risk Management
Anas Abdullah
Section 6: AI in Scientific Research and Advanced Computing
Chapter 21 Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models
Kartik Gupta
Chapter 22 Dynamic Collaborative Filtering for Book Recommendations: Incorporating Real-Time User Interactions
P. Kavya Snigdha, M. Lahari, K. Pranay Goud, and Mukta Jagdish
Chapter 23 Ontology-Driven Approaches in Cloud Service Discovery and Selection: A Review
Manoranjan Parhi, Abhilash Pati, Amrutanshu Panigrahi, Alakananda Tripathy and Ashis Kumar Pati
Chapter 24 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 25 Revolutionizing Healthcare Using Generative AI
Sumati Baral, Suneeta Satpathy Roshina Priyadarshini Rabinarayan Satpathy, *Ajit Baral
