A Bibliometric Overview of IoT-Based Digital Voting
R Essah, IAS Ampofo - Asian Journal of Research in Computer …, 2023 - ebooks.netkumar1.in
Several studies have empirically explored biometric voting using the IoT to transfer votes to
the central system. There aren't many bibliometric studies that categorize the output in this …
the central system. There aren't many bibliometric studies that categorize the output in this …
Comparison of user-based and item-based collaborative filtering using similarity metrics
Recommender systems are among the utmost popular and successful uses of machine
learning in the corporate world. Recently, these schemes have made use of ML methods …
learning in the corporate world. Recently, these schemes have made use of ML methods …
How are user movie ratings predicted using collaborative filtering?
HA Khalil - 2023 15th International Conference on Innovations …, 2023 - ieeexplore.ieee.org
Recommender systems (RSs) are one of the most important tools for helping users decide
what to buy, play, read, book, and watch. They become very effective tools for information …
what to buy, play, read, book, and watch. They become very effective tools for information …
An In-Depth Comparative Framework for Movie Recommendation Approaches Across Diverse Algorithms.
In today's digital entertainment environment, movie recommendation algorithms are
essential for intensifying user ecstasy and content engagement. Online streaming services …
essential for intensifying user ecstasy and content engagement. Online streaming services …
[PDF][PDF] Assessment of Crop Quality Using Machine Learning Techniques for Smart Farming.
Farms and agricultural fields are now being automated. Many of these facilities automate
procedures and boost productivity by using Internet of Things technologies. Additionally …
procedures and boost productivity by using Internet of Things technologies. Additionally …