Intelligent Data-Driven Systems with Innovations in Artificial Intelligence (Intelligent Data-driven Systems and Artificial Intelligence)

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Intelligent Data-Driven Systems with Innovations in Artificial Intelligence (Intelligent Data-driven Systems and Artificial Intelligence)

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  • 製本 Hardcover:ハードカバー版/ページ数 496 p.
  • 言語 ENG
  • 商品コード 9781041011170

Full 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.

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

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

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