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| Autore: |
Dhar Suparna
|
| 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
|
| 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 ![]() |
| ISBN: | 9783031751578 |
| 3031751574 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910983061303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |