Results 131 to 140 of about 1,169,808 (377)

Аргументи „за” и „против” държавната намеса в аграрния сектор

Икономика и управление на селското стопанство, 2012
Целта на настоящата статия е да представи някои от основните аргументи в подкрепа или против субсидирането на аграрния сектор. Анализът ще изложи накратко ролята на държавното подпомагане за земеделието според икономическата теория.
СТАНИМИР АНДОНОВ
doaj  

Impact of The Covid-19 Pandemic on Student Learning Styles: Naïve Bayes and Decision Tree Classification in Education

Jurnal Sisfokom
The Covid-19 pandemic significantly changed education with social distancing and changes in the learning environment. In this study, one strong reason for the significance of the research is the urgency of changes in students' learning styles during the ...
Zaqi Kurniawan, Rizka Tiaharyadini
doaj   +1 more source

Learning Multiple Tasks with Boosted Decision Trees [PDF]

, 2012
We address the problem of multi-task learning with no label correspondence among tasks. Learning multiple related tasks simultane- ously, by exploiting their shared knowledge can improve the predictive performance on every task. We develop the multi-task Adaboost en- vironment with Multi-Task Decision Trees as weak classifiers.
Faddoul, Jean Baptiste, Chidlovskii, Boris, Gilleron, Rémi, Torre, Fabien   +3 more
openaire   +3 more sources

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Multiple thresholds and trajectories of microbial biodiversity predicted across browning gradients by neural networks and decision tree learning. [PDF]

ISME Commun, 2021
Fontaine L, Khomich M, Andersen T, Hessen DO, Rasconi S, Davey ML, Eiler A.   +6 more
europepmc   +1 more source

Domain Nucleation and Growth in an Epitaxially Grown Wurtzite Ferroelectric

Advanced Functional Materials, EarlyView.
Ferroelectric domain nucleation and growth in epitaxial wurtzite (Al, B, Sc)N films are visualized through in situ transmission electron microscopy. Domains initiate near the bottom electrode and propagate laterally with zigzag walls, while unswitched regions remain near the electrode interfaces.
Sebastian Calderon, Chloe Skidmore, Jon‐Paul Maria, Elizabeth C. Dickey   +3 more
wiley   +1 more source

Utilizing decision tree machine learning model to map dental students’ preferred learning styles with suitable instructional strategies

BMC Medical Education
Background Growing demand for student-centered learning (SCL) has been observed in higher education settings including dentistry. However, application of SCL in dental education is limited.
Lily Azura Shoaib, Syarida Hasnur Safii, Norisma Idris, Ruhaya Hussin, Muhamad Amin Hakim Sazali   +4 more
doaj   +1 more source

Detection of GNSS Ionospheric Scintillations Based on Machine Learning Decision Tree

IEEE Transactions on Aerospace and Electronic Systems, 2019
This paper proposes a methodology for automatic, accurate, and early detection of amplitude ionospheric scintillation events, based on machine learning algorithms, applied on big sets of 50 Hz postcorrelation data provided by a global navigation ...
N. Linty, Alessandro Farasin, Alfredo Favenza, F. Dovis   +3 more
semanticscholar   +1 more source

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

Advanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim, Jonghyun Won, Hyeongmin Park, Jun‐Gyu Choi, Sungjun Park, Giwon Lee   +5 more
wiley   +1 more source

A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study

Scientific Reports, 2017
Accurate prediction of graft survival after kidney transplant is limited by the complexity and heterogeneity of risk factors influencing allograft survival.
Kyung Don Yoo, Junhyug Noh, Hajeong Lee, Dong Ki Kim, Chun Soo Lim, Young Hoon Kim, Jung Pyo Lee, Gunhee Kim, Yon Su Kim   +8 more
doaj   +1 more source