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Record Nr. |
UNINA9910983061303321 |
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Autore |
Dhar Suparna |
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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 |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (275 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2224 |
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Altri autori (Persone) |
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GoswamiSanjay |
Unni KrishnanDinesh Kumar |
BoseIndranil |
DubeyRameshwar |
MazumdarChandan |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data structures (Computer science) |
Information theory |
Machine learning |
Artificial Intelligence |
Data Structures and Information Theory |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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-- 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 & |
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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. |
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Sommario/riassunto |
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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. |
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