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This book provides a systematic discussion of AI-based Metaheuristics application in a wide range of areas including Big Data Intelligence, Predictive Analytics, Enterprise Analytics, Graph Optimization Algorithms, Machine Learning and Ensemble Learning, Computer Vision Enterprise Practices, Data Benchmarking and more.
Inhaltsverzeichnis
Chapter 1 ◾ Terror Attacks Forecast Using Machine Learning and Neo4j Sandbox: A Review
Sagar Shinde, Suchitra Khoje, Ankit Raj and Lalitkumar Wadhwa
Chapter 2 ◾ 5G Evolution and Revolution: A Study
Namita K. Shinde, Chetan More, Payal Kadam and Vinod Patil
Chapter 3 ◾ Metaheuristic Algorithms and Its Application in Enterprise Data
Radhika D. Joshi, Sheetal Waghchaware and Rushikesh Dudhani
Chapter 4 ◾ Petrographic Image Classification Accuracy Improvement Using Improved Learning
Ashutosh Marathe, Tanuja Tewari and Falguni Vyas
Chapter 5 ◾ Data Visualization and Dashboard Design for Enterprise Intelligence
Nishikant Bhaskar Surwade, Bahubali Shiragapur and Anwar Hussain
Chapter 6 ◾ Beyond the Hype: Understanding the Potential of ChatGPT in the Articulation of Technical Papers
Neha Shaah
Chapter 7 ◾ Metaheuristics and Deep Learning in Lung Nodule Detection and Classification
Rama Vaibhav Kaulgud and Mandar Saundattikar
Chapter 8 ◾ An Improved Face Recognition Method Using Canonical Correlation Analysis
Ganesh D. Jadhav, Suhas Patil, Bhushan M. Borhade and Yogesh Shinde
Chapter 9 ◾ Guesswork to Results: How ML-Based A/B Testing Is Changing the Game
Namita K. Shinde, Payal Kadam, Aditya Choudhary, Bhavay Chopra and Krishnansh Awasthi
Über den Autor / die Autorin
Dr Kaustubh Sakhare, Sr. Data Scientist, System Engineering & Production Integration (SEPI), John Deer, Pune, India.
Dr Vibha Vyas, Associate Professor, Department of Electronics and Telecommunication, College of Engineering, Pune, India.
Dr Apoorva S. Shastri, Research Assistant Professor, Institute of Artificial Intelligence, MIT World Peace University, Pune, India.
Zusammenfassung
This book provides a systematic discussion of AI-based Metaheuristics application in a wide range of areas including Big Data Intelligence, Predictive Analytics, Enterprise Analytics, Graph Optimization Algorithms, Machine Learning and Ensemble Learning, Computer Vision Enterprise Practices, Data Benchmarking and more.
