A comparative analysis of the principal component analysis and entropy weight methods to establish the indexing measurement
Background As the world's largest coal producer, China was accounted for about 46% of
global coal production. Among present coal mining risks, methane gas (called gas in this …
global coal production. Among present coal mining risks, methane gas (called gas in this …
Using multi-focus group method as an effective tool for eliciting business system requirements: Verified by a case study
RMX Wu, Y Wang, N Shafiabady, H Zhang, W Yan… - Plos one, 2023 - journals.plos.org
This research aims to explore the multi-focus group method as an effective tool for
systematically eliciting business requirements for business information system (BIS) …
systematically eliciting business requirements for business information system (BIS) …
Comparative study of ten machine learning algorithms for short-term forecasting in gas warning systems
This research aims to explore more efficient machine learning (ML) algorithms with better
performance for short-term forecasting. Up-to-date literature shows a lack of research on …
performance for short-term forecasting. Up-to-date literature shows a lack of research on …
An FSV analysis approach to verify the robustness of the triple-correlation analysis theoretical framework
RMX Wu, Z Zhang, H Zhang, Y Wang, N Shafiabady… - Scientific Reports, 2023 - nature.com
Among all the gas disasters, gas concentration exceeding the threshold limit value (TLV)
has been the leading cause of accidents. However, most systems still focus on exploring the …
has been the leading cause of accidents. However, most systems still focus on exploring the …
Gas explosion early warning method in coal mines by intelligent mining system and multivariate data analysis
H Li, Y Zhang, W Yang - PLoS one, 2023 - journals.plos.org
In order to predict gas explosion disasters rapidly and accurately, this study utilizes real-time
data collected from the intelligent mining system, including mine safety monitoring …
data collected from the intelligent mining system, including mine safety monitoring …
Gobierno electrónico y satisfacción de los usuarios de la municipalidad distrital de Morales, 2023
L Cortez Villegas - 2023 - repositorio.ucv.edu.pe
Para el presente trabajo, el objetivo general fue el de determinar la relación que existe entre
el gobierno electrónico y la satisfacción de los usuarios de la Municipalidad Distrital de …
el gobierno electrónico y la satisfacción de los usuarios de la Municipalidad Distrital de …
Hubungan Motivasi Belajar Dengan Hasil Belajar Gambar Teknik Di Smk Negeri 2 Kota Sungai Penuh
V Kirichal, P Purwantono, RE Wulansari… - Jurnal Vokasi …, 2023 - vomek.ppj.unp.ac.id
Abstract Sekolah Menengah Kejuruan ialah pendidikan yang mempersiapkan peserta didik
dalam memperoleh keterampilan kejuruan dibidang teknik yang siap diimplementasikan …
dalam memperoleh keterampilan kejuruan dibidang teknik yang siap diimplementasikan …
Comparison Reviews on E-commerce Research Methods: Suggestions for Post-COVID-19
Z Zhang, T Jin, RMX Wu - Global Economics Science, 2022 - ojs.wiserpub.com
This research aimed to understand the differences in research methods adopted between
Chinese and international e-commerce research and provided suggestions and …
Chinese and international e-commerce research and provided suggestions and …
Mejoramiento de suelo a base de humus y compost en la planta de valorización de la Municipalidad del Callao 2022
JJ Pillpe Valdivia - 2022 - repositorio.ucv.edu.pe
Esta tesis propone mejorar suelos a base de humus y compost a partir de los residuos
orgánicos. El objetivo fue Evaluar como el humus y compost mejoran la calidad de los …
orgánicos. El objetivo fue Evaluar como el humus y compost mejoran la calidad de los …
[PDF][PDF] Ten Machine Learning Algorithms for Short-Term Forecasting: A Comparative Study in Gas Warning Systems
RMX Wu, N Shafiabady, H Zhang, HH Lu… - Research …, 2023 - opus.lib.uts.edu.au
This research aims to explore more efficient machine learning (ML) algorithms with better
prediction assessments for short-term forecasting. Up-to-date literature shows a lack of …
prediction assessments for short-term forecasting. Up-to-date literature shows a lack of …