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Dhar / Goswami / Mazumdar

Analytics, Machine Learning, and Artificial Intelligence

Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6-7, 2024, Revised Selected Papers

Medium: Buch
ISBN: 978-3-031-75156-1
Verlag: Springer Nature Switzerland
Erscheinungstermin: 21.11.2024
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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.

Produkteigenschaften

  • Artikelnummer: 9783031751561
  • Medium: Buch
  • ISBN: 978-3-031-75156-1
  • Verlag: Springer Nature Switzerland
  • Erscheinungstermin: 21.11.2024
  • Sprache(n): Englisch
  • Auflage: 2024
  • Serie: Communications in Computer and Information Science
  • Produktform: Kartoniert
  • Gewicht: 429 g
  • Seiten: 267
  • Format (B x H x T): 155 x 235 x 16 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

.- 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 Eye’s 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.