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The interplay between contemporary business and AI: What should SMEs do to catch up?
By Jacob\xa0AZAAREBusiness is the lifeline of every nation, whether state- owned or privately owned. Businesses account for significant part of the economies in both developed and developing countries ...
The European Space Agency (ESA) is accelerating a quiet revolution on the factory floor: using artificial intelligence to design, inspect, ...
Hybrid PCA-Based Machine Learning Models for Predictive Analytics in Urban Health Monitoring Systems
Abstract: In this paper, a hybrid PCA-based approach is proposed for predicting the respiratory imbalance in an urban health monitoring system. To do this, three models namely Random Forest, XGBoost, ...
Charles River Analytics is developing advanced predictive maintenance and logistics technologies for the United States Navy’s ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...
The integration of artificial intelligence (AI) and robotics into predictive maintenance (PdM) systems has brought about a fundamental change in the operations of the industries since it has left ...
Reverse Supply Chains (RSCs) manage the return, repair, recycling, and reuse of products that have reached the end of their lifecycle. They are critical for promoting sustainability, minimizing waste, ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
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