Analytics, Machine Learning, and Artificial Intelligence

Analytics, Machine Learning, and Artificial Intelligence

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

Dhar, Suparna; Bose, Indranil; Mazumdar, Chandan; Dubey, Rameshwar; Goswami, Sanjay; Unni Krishnan, Dinesh Kumar

Springer International Publishing AG

12/2024

280

Mole

9783031751561

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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 & 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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