Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...
The robotics industry is experiencing a transformation driven by advancements in artificial intelligence, automation, and ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Netflix, Amazon, and Spotify use advanced recommendation algorithms powered by artificial intelligence to study user behavior, predict preferences, and deliver personalized content, products, and ...
Abstract: Ensuring reliable and easily accessible charging infrastructure becomes crucial as more people adopt electric vehicles. This study introduces a recommendation system designed to assist ...
Explore how streaming algorithms, personalization, and the content pipeline work together to power recommendation engine systems and shape what viewers see on streaming platforms. Pixabay, SunnyMuneko ...
Artificial intelligence technology allows computers and machines to simulate human intelligence and problem-solving ...
Abstract: The e-learning recommender system in learning institutions is increasingly becoming the preferred mode of delivery, as it enables learning anytime, anywhere. However, delivering personalised ...
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