Zobrazeno 1 - 10
of 378
pro vyhledávání: '"Tree algorithms"'
Autor:
Aitor Garcia-Vozmediano, Cristiana Maurella, Leonardo A. Ceballos, Elisabetta Crescio, Rosa Meo, Walter Martelli, Monica Pitti, Daniela Lombardi, Daniela Meloni, Chiara Pasqualini, Giuseppe Ru
Publikováno v:
Veterinary Research, Vol 55, Iss 1, Pp 1-14 (2024)
Abstract Salmonellosis, one of the most common foodborne infections in Europe, is monitored by food safety surveillance programmes, resulting in the generation of extensive databases. By leveraging tree-based machine learning (ML) algorithms, we expl
Externí odkaz:
https://doaj.org/article/bc3027ff4c604a52980f395f67b492ed
Publikováno v:
IEEE Access, Vol 12, Pp 166058-166067 (2024)
Healthcare systems face significant challenges and financial burdens due to patient no-shows, highlighting the need for accurate and interpretable predictive models. This study evaluated the efficacy of twelve classification algorithms that can gener
Externí odkaz:
https://doaj.org/article/dc5a5434576b41cab859b0f2aed9ffc4
Publikováno v:
IEEE Access, Vol 12, Pp 162062-162074 (2024)
Understanding the organic carbon content of forest soil will aid in studying the spatial distribution pattern of regional soil organic carbon (SOC) storage. Monitoring and researching forest SOC content is a crucial task that usually involves outdoor
Externí odkaz:
https://doaj.org/article/5459c55b93254ff889db8e4281003f52
Autor:
Marivic Mitschek, Rosanna Esquivel
Publikováno v:
Celt: A Journal of Culture, English Language Teaching & Literature, Vol 23, Iss 2, Pp 321-334 (2023)
This study explores the application of decision tree classification algorithms for analyzing student performance data within a blended learning environment. The analysis, conducted using WEKA 3.8.6, focused on four attributes believed to influence st
Externí odkaz:
https://doaj.org/article/69ce94834779454889f0348886b65484
Publikováno v:
Compiler, Vol 12, Iss 2, Pp 103-108 (2023)
Credit is a loan from a bank that needs to be repaid with interest. In practice, problematic credit or bad credit often occurs due to less thorough credit analysis in the credit granting process, or from bad customers. This research aims to predict c
Externí odkaz:
https://doaj.org/article/1c5fa475dc3d45879aca7da6c7f3467a
Autor:
Wang Peng
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Driven by the current teaching management situation, teaching administrators at all levels generally hope to build a more complete teaching data operation center and data analysis system by using advanced information technology to provide teaching ma
Externí odkaz:
https://doaj.org/article/b478888ef11e4436b9e8bcc105a2558b
Autor:
Li Dongyun
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the increasing scarcity of conventional energy and environmental degradation, countries around the world are increasing their investment in renewable energy development. In order to make a scientific investment evaluation of renewable energy pro
Externí odkaz:
https://doaj.org/article/0fa093b3d2cd4a8b86567993e684985e
Autor:
Faisal Hassan, Naseem Afzal Qureshi, Muhammad Zohaib Khan, Muhammad Ali Khan, Abdul Salam Soomro, Aisha Imroz, Hussain Bux Marri
Publikováno v:
Journal of Applied Research in Technology & Engineering, Vol 4, Iss 2, Pp 97-110 (2023)
Machine Learning (ML) is an Artificial Intelligence (AI) approach that allows systems to adapt to their environment based on past experiences. Machine Learning (ML) and Natural Language Processing (NLP) techniques are commonly used in sentiment analy
Externí odkaz:
https://doaj.org/article/dd3e0a4c7fbb4b08b7c6201ad7adbb30
Publikováno v:
IEEE Access, Vol 11, Pp 54760-54772 (2023)
Search and Rescue operations for victim identification in an unstructured collapsed building are high-risk and time-consuming. The possibility of saving a victim is high only during the first 48 hours, and then the prospect tends to zero. The faster
Externí odkaz:
https://doaj.org/article/a1651d09a52e4afda7d556cbf44eb58c
Publikováno v:
Telfor Journal, Vol 14, Iss 2, Pp 61-66 (2022)
In this paper, we apply Deep Learning (DL) and decision-tree-based ensemble learning algorithms to classify network traffic by application. Various Deep Learning (DL) models for network traffic identification have been presented, implemented and comp
Externí odkaz:
https://doaj.org/article/2d3b440c2c5649e6a51cc202cb5bac57