Advancing Innovation through AI and Machine Learning Algorithms

Name: Advancing Innovation through AI and Machine Learning Algorithms
Price: 73.99 USD
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ISBN: 9781041164272

by Udara Yedukondalu, V Vijayasri Bolisetty

1st Edition

Publisher: CRC Press

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Computer Science & IT

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Book Details

Print ISBN	9781041164272
eText ISBN	9781040753033
Publisher	CRC Press
Publishing Year	2025
Edition	1st Edition
Language	English
Pages	623

Advancing Innovation through AI and Machine Learning Algorithms, 1st Edition, is edited by Udara Yedukondalu and V Vijayasri Bolisetty and published by CRC Press. This publication bridges theoretical academic research with practical industrial applications across microstructures, robotics, VLSI architectures, and modern communication systems.

The content explores targeted environmental and agricultural frameworks, including AgriSense for TinyML-driven rain prediction and automated irrigation, alongside AI systems for soil fertility assessment, crop growth monitoring, and disease mitigation. Additional contributions highlight hardware and web security implementations, such as real-time FPGA-based home automation configurations and PhishGuard machine learning methods for detecting fraudulent websites.

Compiling research associated with the International Conference on Microstructure, VLSI, Robotics, Communication, Electrical & Emerging Technologies using AI-ML Algorithms (ICMVRCET - 2025), the 623-page volume provides an engineering reference. It supports academic researchers, industry professionals, and specialized developers evaluating cross-disciplinary computational strategies for emerging electrical technologies.

Chapter 1: End-to-end AI framework for soil fertility, crop growth, and disease mitigation
Chapter 2: Highly accurate calorie burn prediction using XGBoost regression model
Chapter 3: Real time design of FPGA-based home automation scheme
Chapter 4: AI powered facial recognition for secure banking authentication
Chapter 5: Performance comparison of machine learning algorithms in predicting telecom customer attrition
Chapter 6: Graphical representation of accuracy comparison among various machine learning algorithms to predict customer churn
Chapter 7: PhishGuard – fake website detection using machine learning
Chapter 8: Prediction of chronic kidney disease using machine learning
Chapter 9: Enhancing autonomous safety
Chapter 10: Enhancing visual quality of images and videos with improved CNN and OpenCV
Chapter 11: A comparative analysis of supervised machine learning algorithms for heart attack prediction
Chapter 12: Skin cancer classification: a web-based machine learning approach for skin cancer classification
Chapter 13: FIFO implementation in manufacturing: streamlining production processes minimizing work-in-progress inventory
Chapter 14: Innovative approaches to Doherty power amplifier enhancement
Chapter 15: Optimized feature engineering approaches for predictive modeling of multiple diseases using machine learning
Chapter 16: Gray wolf optimization-based intelligent clustering mechanism for energy-efficient and trust-aware communication in IoT networks
Chapter 17: Enhancing heart disease prediction using hybrid K-means clustering and supervised machine learning models
Chapter 18: Utilizing mmWave technology for human detection and counting in Indoor
Chapter 19: Voice enabled desk assistant for the visually impaired
Chapter 20: Electric vehicle-to-vehicle energy transfer with bidirectional on-board converters
Chapter 21: Implementation of IoT home automation using raspberry Pi with multilingual voice control
Chapter 22: Enhancing heart disease prediction using ensemble machine learning classifiers
Chapter 23: Music recommender chatbot: An emotion-aware AI system for personalized music recommendations
Chapter 24: Dual source novel nine level inverter design with trinary geometric DC links to produce highest output voltage levels
Chapter 25: Smart automated surveillance system
Chapter 26: Bank marketing DataSet using data science
Chapter 27: DIBL effect compensation of self-biased CMOS voltage reference using adaptive VGS control
Chapter 28: AgriSense - smart rain prediction and automated irrigation with TinyML
Chapter 29: An overview of deep learning approaches for identification of deepfake faces in images and videos
Chapter 30: Innovative milk contamination detection system using Raspberry Pi and IoT sensors
Chapter 31: A comprehensive review of UAV technologies in medical and emergency applications
Chapter 32: Intelligent smart home operations through NLP and IoT-driven voice control
Chapter 33: AI-driven monitoring and emotion recognition for Alzheimer’s patients with blockchain-enhanced data security
Chapter 34: Recognition of human behaviour utilising multiscale convolutional neural networks
Chapter 35: Robust local filtering to secure federated learning against adversarial poisoning
Chapter 36: Aquatic image enhancement using weighted wavelet transform
Chapter 37: Enhancing underwater image clarity with balanced adaption compensation approach
Chapter 38: Real-time polyglot translator powered by Raspberry Pi
Chapter 39: Enhancing power grid reliability through smart fault detection and classification using machine learning algorithms
Chapter 40: Utilizing 3D-CNN and autoencoder for gas detection in hyperspectral images
Chapter 41: AI-based audio and music signal processing using deep learning approach
Chapter 42: Comparative analysis of fuzzy and neuro-fuzzy image processing system and their applications
Chapter 43: Design and analysis with high-performance rectangular micro-strip antenna at 38 GHz 5G millimeter-wave application
Chapter 44: Music recommendations based on emotions
Chapter 45: A deep learning framework for image colorization
Chapter 46: AI car with real-time detection of damaged road and lane detection by deep learning using Python
Chapter 47: A hybrid model for breast cancer prediction: Integrating Relief, PCA, and SVM for improved accuracy
Chapter 48: Efficacy evaluation of Helfer skin tap technique versus ShotBlocker device in reducing pain and anxiety in children undergoing intramuscular injections
Chapter 49: Sustainable air circulation and monitoring system for caves using solar energy
Chapter 50: Detection of multiple artifacts through the application of adaptive scalp region selection and classifier fusion
Chapter 51: A novel color image encryption method based on block-based DNA coding compressive sensing
Chapter 52: Weather prediction system using deep learning
Chapter 53: Optimized prediction of complex keyword queries in relational databases
Chapter 54: Automated passenger fare collection using RFID and face recognition for public transportation
Chapter 55: Advanced AC drive system for efficient electric vehicle technology
Chapter 56: Comparison of machine learning algorithms for predicting temperature
Chapter 57: Remote sensing image analysis
Chapter 58: Surveillance camera-based fire detection and localization: Enhancing safety through visual monitoring
Chapter 59: Real-time driver drowsiness detection and alert system using DLib and OpenCV
Chapter 60: Detection of epileptic seizures in EEG signals through machine learning methods
Chapter 61: Smart wealth: Personalized financial growth with GenAI
Chapter 62: Performance metrics of conformal antenna
Chapter 63: Performance evaluation of GFDM and OFDM for future wireless networks: Trade-offs in spectral efficiency, BER, and computational complexity
Chapter 64: SVD-based method for high-fidelity color to grayscale image conversion
Chapter 65: A comparative analysis of machine learning models for email threat detection: A web-based framework utilizing header metadata and SVM classification
Chapter 66: A cloud-integrated IoT framework for real-time energy monitoring and predictive billing
Chapter 67: DeepWave: Revolutionizing underwater communication with Li-Fi technology