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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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