[PDF][PDF] Learning evolution: A survey

NH Ali, ME Abdulmunem, AE Ali - Iraqi Journal of Science, 2021 - iasj.net
Learning is the process of gaining knowledge and implementing this knowledge on
behavior. The concept of learning is not strict to just human being, it expanded to include …

[HTML][HTML] A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry

S Ouf, KT Mahmoud, MA Abdel-Fattah - Journal of Big Data, 2024 - Springer
In the telecom sector, predicting customer churn has increased in importance in recent
years. Developing a robust and accurate churn prediction model takes time, but it is crucial …

[PDF][PDF] Exploiting bert for malformed segmentation detection to improve scientific writings

A Halawa, S Gamalel-Din, A Nasr - Applied Computer Science, 2023 - bibliotekanauki.pl
Writing a well-structured scientific documents, such as articles and theses, is vital for
comprehending the document's argumentation and understanding its messages …

[PDF][PDF] Artificial Intelligence in Marketing

GS Çekerol, U Kesler - Social Sciences, 2021 - jocress.com
Artificial intelligence is an important field of computer science that is being embraced by
businesses for its potential benefits. It is important to understand exactly what artificial …

Machine Learning Approaches for Quality Control in Pulp Packaging Manufacturers

R Ceesay, T Boonchoo… - 2023 20th International …, 2023 - ieeexplore.ieee.org
In molded pulp packaging manufacturing, defect detection and classification processes are
critical to ensuring the products meet quality criteria. Yet most manufacturers still rely on …

Evaluating Machine Translations of Company Reports for Grammatical and Lexical Accuracy

B Siriwardhana - 2024 - diva-portal.org
This thesis addresses the gap in the machine translation evaluation metrics, particularly in
translating complex company reports. Traditional metrics like NIST focus on n-gram …

Analyzing covid19 tweets using health behaviours theories and classification models

B Graham-Kalio - 2021 - dalspace.library.dal.ca
In order to explain people's health habits, Health Behaviour Theories has been used to
analyze posts on social media during previous incidents. With regard to the pandemic …

Implementing Fuzzy Analytical Hierarchy Process and Similarity Approach to Predict Health and Safety Incidents in Dubai Construction Projects

AOA Serdaneh - 2022 - search.proquest.com
With the benefit of improving and developing the construction business in the UAE, a smart
and resilient system has been generated. The construction sector contributes 7.4% of …

A classifier to determine whether a document is professionally or machine translated

M Luckert, M Schaefer-Kehnert, W Löwe… - … in Business Informatics …, 2016 - Springer
In an increasingly networked world, the availability of high quality translations is critical for
success, especially in the context of international competition. International companies need …

Diagnostic assistance for the prediction of cardiac diseases with a non-invasive estimation of hemodynamic parameters using machine learning

KJ Hernández Vanegas - 2023 - manglar.uninorte.edu.co
This research describes the process of the prediction for cardiac output (CO), with a non-
invasive method implementing machine learning techniques. This mainly follows the …