Titlebook: Artificial Intelligence and Knowledge Processing; Third International Hemachandran K,Raul Villamarin Rodriguez,Kok-Leong Conference procee

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978-3-031-68616-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Dynamic Inventory Management Using AI: A Case on Datarobotory through Artificial Intelligence platform with Datarobot. Datarobot is an AI platform, provides ensemble Algorithm which shows different result for a particular data based on several parameters. It deploys predictive models for the given data and study the past graph of the data and works on the

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cognizant

How Do Senior Secondary Level Students and Their Teachers Perceive Artificial Intelligence and Its I the field of education, the researcher examines the awareness and knowledge of Artificial Intelligence among school students and their computer science mentors. Researchers assessed the conceptions of students about features of AI, tools of AI and its use for learning purposes as well as demerits o

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Anomalous Sound Pattern Detection for Machine Health Monitoringample, predictive maintenance solutions utilize raw analog signals to identify trends and patterns. In a few scenarios, an engineer working in a factory setting can tell when a machine is behaving abnormally just by hearing unexpected sounds (e.g., the loudness of sound) that are well within the hum

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Performance Evaluation of Various Machine Learning Algorithms for Lung Cancer Prediction Using Demog possible, allowing the doctors and the patients to take the appropriate and essential actions. Techniques like machine learning can be applied to the same. In this study, we used machine learning to predict cancer in the lungs. We explored five machine learning algorithms, viz., Decision Tree (DT),

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Breast Cancer Diagnosis from Ultrasonic Image and Histopathology Image Using Deep Learning Approachment outcomes and patient survival rates. In our study, we propose a novel approach to address this challenge by utilizing granular computing, a method that allows for the efficient analysis of complex data by dividing it into smaller, more manageable subsets. Our proposed model harnesses the capabi