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Multi-disciplinary Trends in Artificial Intelligence

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Cover of 'Multi-disciplinary Trends in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Digital Life: An Advent of Transhumanism
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    Chapter 2 Heuristics for  K -Independent Average Traveling Salesperson Problem
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    Chapter 3 Book Recommendation Using Double-Stack BERT: Utilizing BERT to Extract Sentence Relation Feature for a Content-Based Filtering System
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    Chapter 4 Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings
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    Chapter 5 How Good are Transformers in Reordering?
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    Chapter 6 Automatic Differentiation Using Dual Numbers - Use Case
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    Chapter 7 On Some Properties of a New PoisN Wavelet Family
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    Chapter 8 Centrality Measures Based Heuristics for Perfect Awareness Problem in Social Networks
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    Chapter 9 Re-examining Class Selectivity in Deep Convolutional Networks
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    Chapter 10 Content Based Network Representational Learning for Movie Recommendation (CNMovieRec)
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    Chapter 11 Parallel and Distributed Query Processing in Attributed Networks
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    Chapter 12 Gradient Directional Predictor for Reconstructing High-Fidelity Images
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    Chapter 13 We Chased COVID-19; Did We Forget Measles? - Public Discourse and Sentiment Analysis on Spiking Measles Cases Using Natural Language Processing
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    Chapter 14 Swarm Learning for Oncology Research
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    Chapter 15 A Review on Designing of Memory Computing Architecture for Image Enhancement in AI Applications
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    Chapter 16 Shufflenetv2: An Effective Technique for Recommendation System in E-Learning by User Preferences
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    Chapter 17 A Multi-modal Approach Using Game Theory for Android Forensics Tool Selection
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    Chapter 18 LPCD: Incremental Approach for Dynamic Networks
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    Chapter 19 Clinical Abbreviation Disambiguation Using Clinical Variants of BERT
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    Chapter 20 Ontological Scene Graph Engineering and Reasoning Over YOLO Objects for Creating Panoramic VR Content
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    Chapter 21 Incremental Classifier in the Semi Supervised Learning Environment
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    Chapter 22 Alzheimer’s Detection and Prediction on MRI Scans: A Comparative Study
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    Chapter 23 Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting
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    Chapter 24 A Blockchain-Driven Framework for Issuance of NFT-Based Warranty to Customers on E-Commerce
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    Chapter 25 Using Machine Learning Models to Predict Corporate Credit Outlook
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    Chapter 26 Visualization Recommendation for Incremental Data Based on Intent
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    Chapter 27 Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results
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    Chapter 28 Artificial Intelligence as a Service: Providing Integrity and Confidentiality
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    Chapter 29 Live Bidding Application: Predicting Shill Bidding Using Machine Learning
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    Chapter 30 A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network
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    Chapter 31 Efficient Trajectory Clustering of Movements of Moving Objects
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    Chapter 32 Node Cooperation Enforcement Scheme for Enhancing Quality of Service in MANETs Using Machine Learning Approach
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    Chapter 33 Interpreting Chest X-Ray Classification Models: Insights and Complexity Measures in Deep Learning
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    Chapter 34 Nuclei Segmentation Approach for Computer Aided Diagnosis
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    Chapter 35 Stock Market Intraday Trading Using Reinforcement Learning
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    Chapter 36 Predicting the Droughts Using Artificial Neural Networks – A Case Study
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    Chapter 37 Applying Machine Learning for Portfolio Switching Decisions
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    Chapter 38 Bark Texture Classification Using Deep Transfer Learning
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    Chapter 39 Dynamic Twitter Topic Summarization Using Speech Acts
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    Chapter 40 Generative Adversarial Network for Augmenting Low-Dose CT Images
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    Chapter 41 Improving Software Effort Estimation with Heterogeneous Stacked Ensemble Using SMOTER over ELM and SVR Base Learners
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    Chapter 42 A Deep Learning Based Model to Study the Influence of Different Brain Wave Frequencies for the Disorder of Depression
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    Chapter 43 Planning Strategy of BDI Agents for Crowd Simulation
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    Chapter 44 Design and Development of Walking Monitoring System for Gait Analysis
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    Chapter 45 Stock Market Investment Strategy Using Deep-Q-Learning Network
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    Chapter 46 A Survey on Recent Text Summarization Techniques
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    Chapter 47 Conversational AI: A Study on Capabilities and Limitations of Dialogue Based System
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    Chapter 48 Co-clustering Based Methods and Their Significance for Recommender Systems
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    Chapter 49 Machine Learning and Fuzzy Logic Based Intelligent Algorithm for Energy Efficient Routing in Wireless Sensor Networks
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    Chapter 50 Sentiment Analysis of Twitter Data on ‘The Agnipath Yojana’
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    Chapter 51 Pixel Value Prediction Task: Performance Comparison of Multi-Layer Perceptron and Radial Basis Function Neural Network
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    Chapter 52 A Yolo-Based Deep Learning Approach for Vehicle Class Classification
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    Chapter 53 Rescheduling Exams Within the Announced Tenure Using Reinforcement Learning
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    Chapter 54 AI Based Employee Attrition Prediction Tool
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    Chapter 55 iSTIMULI: Prescriptive Stimulus Design for Eye Movement Analysis of Patients with Parkinson’s Disease
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    Chapter 56 EduKrishnaa: A Career Guidance Web Application Based on Multi-intelligence Using Multiclass Classification Algorithm
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    Chapter 57 Multi-dimensional STAQR Indexing Algorithm for Drone Applications
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    Chapter 58 Low Light Image Illumination Adjustment Using Fusion of MIRNet and Deep Illumination Curves
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    Chapter 59 A Hybrid Intelligent Cryptography Algorithm for Distributed Big Data Storage in Cloud Computing Security
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    Chapter 60 An Ensemble Technique to Detect Stress in Young Professional
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    Chapter 61 iAOI: An Eye Movement Based Deep Learning Model to Identify Areas of Interest
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    Chapter 62 Traffic Prediction in Indian Cities from Twitter Data Using Deep Learning and Word Embedding Models
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    Chapter 63 Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data Using Machine Learning
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    Chapter 64 Sign Language Interpretation Using Deep Learning
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    Chapter 65 Redefining the World of Medical Image Processing with AI – Automatic Clinical Report Generation to Support Doctors
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    Chapter 66 Statistical Analysis of the Monthly Costs of OPEC Crude Oil Using Machine Learning Models
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    Chapter 67 Conversational Artificial Intelligence in Digital Healthcare: A Bibliometric Analysis
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    Chapter 68 Demand and Price Forecasting Using Deep Learning Algorithms
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    Chapter 69 Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting
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    Chapter 70 Addressing Challenges in Healthcare Big Data Analytics
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    Chapter 71 Assessing Reading Patterns of Learners Through Eye Tracking
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    Chapter 72 Comparison of Deep Learning Algorithms for Early Detection of Melanoma Skin Cancer on Dermoscopic and Non-dermoscopic Images
Overall attention for this book and its chapters
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Title
Multi-disciplinary Trends in Artificial Intelligence
Published by
Springer Nature Switzerland, July 2023
DOI 10.1007/978-3-031-36402-0
ISBNs
978-3-03-136401-3, 978-3-03-136402-0
Editors

Morusupalli, Raghava, Dandibhotla, Teja Santosh, Atluri, Vani Vathsala, Windridge, David, Lingras, Pawan, Komati, Venkateswara Rao

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