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Analytics, Machine Learning, and Artificial Intelligence: Second Analytics Global Conference, AGC 2024, Kolkata, India, March 67, 2024, Revised Selected Papers 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 267 pages, kõrgus x laius: 235x155 mm, 84 Illustrations, color; 51 Illustrations, black and white; X, 267 p. 135 illus., 84 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2224
  • Ilmumisaeg: 21-Nov-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031751566
  • ISBN-13: 9783031751561
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Analytics, Machine Learning, and Artificial Intelligence: Second Analytics Global Conference, AGC 2024, Kolkata, India, March 67, 2024, Revised Selected Papers 2024 ed.Suurem pilt
  • Formaat: Paperback / softback, 267 pages, kõrgus x laius: 235x155 mm, 84 Illustrations, color; 51 Illustrations, black and white; X, 267 p. 135 illus., 84 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2224
  • Ilmumisaeg: 21-Nov-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031751566
  • ISBN-13: 9783031751561
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031751561.html
Märksõnad:
This book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligence, AGC 2024, held in Kolkata, India, during March 6-7, 2024. 





The 15 full papers and 3 short papers presented in these proceedings were carefully reviewed and selected from 60 submissions. The papers are organized in these topical sections: applications of analytics in business; analytics methods, tools & techniques.
.- Applications of Analytics in Business.



.- Next-Gen Cold Storage Surveillance Platform.



.- Attack Hypergraph: A Framework for Modeling Multi-Stage Attacks.



.- Ensuring Integrity in Blockchain-Based Health Information Exchange through
Collaborative Data Safeguards.



.- Predictive Modelling of Airline Baggage Complaints Using Facebook Prophet:
A Time Series Analysis.



.- Path Planning in Disaster Management Scenarios.



.- Analytics Methods, Tools & Techniques.



.- Machine Learning-Driven Feature Selection for Performance Analysis in
Student Mental Health.



.- Utilizing Social Media for Understanding Public Opinion on Transportation
in Indian Cities.



.- Classification of Various Iris Patterns of Amphibians using Geometric and
Color Features.



.- Recognition of the Hornbill Eyes Iris using Bit Plane Processing,
Un-Sharp Masking and High Boost Filtering.



.- Analyzing Post-Shopping Facial Expressions Unraveling Emotions for
Enhanced Consumer Insights.



.- AI Based Energy Resources Management for PV/Wind/Diesel/Battery Hybrid
System.



.- Unraveling the Complexity of Anti-Vax Concerns during the COVID-19
Pandemic.



.- Recommending influential authors using content-based filtering and network
similarity-a case study on disease-related research.



.- An Examination of the Effectiveness of SMOTE-based Algorithms on Software
Defect Prediction.



.- Development of An Essential Education Performance Prediction Tool Using
Machine Learning.



.- Groundwater Quality Assessment of Indian Pumping Stations using
Unsupervised Machine Learning and Cluster Analysis.



.- Predicting Performance of Players in the Knockouts of Cricket World Cup
Based on Their Performance in League Matches Using Machine Learning.



.- Lung-UNet: A modified UNet-based DNN for COVID Lung Segmentation from
Chest X-Ray and CT-Scan Images.