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Analytics, Machine Learning, and Artificial Intelligence : Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6–7, 2024, Revised Selected Papers / / edited by Suparna Dhar, Sanjay Goswami, Dinesh Kumar Unni Krishnan, Indranil Bose, Rameshwar Dubey, Chandan Mazumdar



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Autore: Dhar Suparna Visualizza persona
Titolo: Analytics, Machine Learning, and Artificial Intelligence : Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6–7, 2024, Revised Selected Papers / / edited by Suparna Dhar, Sanjay Goswami, Dinesh Kumar Unni Krishnan, Indranil Bose, Rameshwar Dubey, Chandan Mazumdar Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (275 pages)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
Data structures (Computer science)
Information theory
Machine learning
Artificial Intelligence
Data Structures and Information Theory
Machine Learning
Altri autori: GoswamiSanjay  
Unni KrishnanDinesh Kumar  
BoseIndranil  
DubeyRameshwar  
MazumdarChandan  
Nota di contenuto: -- 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.
Sommario/riassunto: 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.
Titolo autorizzato: Analytics, Machine Learning, and Artificial Intelligence  Visualizza cluster
ISBN: 9783031751578
3031751574
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910983061303321
Lo trovi qui: Univ. Federico II
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Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2224