[HTML][HTML] A novel improved lemurs optimization algorithm for feature selection problems
M Ra'ed, NEA Al-qudah, MS Jawarneh… - Journal of King Saud …, 2023 - Elsevier
The irrelevant and repeated features in high-dimensional datasets can negatively affect the
final performance and accuracy of classification-based models. Therefore, feature selection …
final performance and accuracy of classification-based models. Therefore, feature selection …
Tashaphyne0. 4: a new arabic light stemmer based on rhyzome modeling approach
Stemming algorithms are crucial tools for enhancing the information retrieval process in
natural language processing. This paper presents a novel Arabic light stemming algorithm …
natural language processing. This paper presents a novel Arabic light stemming algorithm …
Clustering of goods in the lustrorezea online shop
Lustrorezea is an online shop that was founded in 2018 and has 150 regular customers.
This Lustrorezea online shop sells goods in the form of women's, men's, children's clothing …
This Lustrorezea online shop sells goods in the form of women's, men's, children's clothing …
Bi-Directional Conversion Algorithm of Database Based on Artificial Intelligence
N Tao, L Geng, C Xu - 2024 Second International Conference …, 2024 - ieeexplore.ieee.org
The traditional database conversion algorithm is difficult to implement, expensive and
difficult to popularize. The lack of conversion algorithm directly affects the result of data …
difficult to popularize. The lack of conversion algorithm directly affects the result of data …
[DOC][DOC] RECOGNISING DAIRY COW'S BEHAVIOUR WITH LSTM MODEL TO IMPROVE FARM MANAGEMENT PRACTICES
APDK Dineva, T Atanasova - … Scientific GeoConference: SGEM, 2023 - researchgate.net
This paper focuses on recognizing the activity of dairy cows using a non-invasive approach
that monitors four key behaviors: licking, feeding, standing, and lying. The study used IoT …
that monitors four key behaviors: licking, feeding, standing, and lying. The study used IoT …