World of Business with Data and Analytics

World of Business with Data and Analytics

Bhatavdekar, Mandar; Sharma, Neha

Springer Verlag, Singapore

09/2022

201

Dura

Inglês

9789811956881

15 a 20 dias

Descrição não disponível.
Chapter 1. Dynamic Demand Planning for Distorted Historical Data Due to Pandemic.- Chapter 2. Cognitive Models to Predict Pipeline Leaks and Ruptures.- Chapter 3. Network Optimization of the Electricity Grid to manage Distributed Energy Resources using Data & Analytics.- Chapter 4. Enhancing Market Agility Through Accurate Price Indicators using Contextualized Data Analytics.- Chapter 5. Infrastructure for Automated Surface Damage Classification and Detection in Production industries using ResUNet based Deep Learning Architecture.- Chapter 6. Cardiac Arrhythmias Classification & Detection for Medical Industry Using Wavelet Transformation & Probabilistic Neural Network Architecture.- Chapter 7. Investor Behavior towards Mutual Fund.- Chapter 8. iMask - An Artificial Intelligence Based Redaction Engine.- Chapter 9. Artificial Intelligence for Proactive Vulnerability Prediction and interpretability using Occlusion.- Chapter 10. Intrusion Detection System using Signature based Detection and Data Mining Technique. Chapter 11. Cloud Cost Intelligence using Machine Learning.- Chapter 12. Mining deeper Insights using Unsupervised NLP.- Chapter 13. Explainable AI for ML OPS.
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Artificial Intelligence;Machine Learning;Data Analytics;Computer Vision;Production Industry;Deep Learning;Cognitive Models;Reinforcement Learning;Healthcare;Supply Chain Management;Demand Planning;Supply Planning Techniques;Explainable AI (XAI)