Results 51 to 60 of about 120,272 (297)

Mapes cantats

Estudis de Literatura Oral Popular / Studies in Oral Folk Literature, 2022
Un mapa cantat és una cançó que construeix narrativament, a través dels noms dels llocs, una determinada percepció ordenada i memoritzable d’un espai geogràfic —un país, una vall o un trajecte més llarg. En la tradició oral catalana hi ha un cert nombre de cançons d’aquesta mena, però fins ara no havien estat observades des d’aquest ...
openaire   +2 more sources

PEMODELAN JUMLAH PENUMPANG PESAWAT DI BANDARA SOEKARNO-HATTA MENGGUNAKAN MODEL HYBRiD SARIMA-FTSMC

Jurnal Lebesgue, 2023
The aim of this research is to model the number of airplane passengers at Soelkarno-Hatta airport using a model hybrid SARIMA-FTSMC. The data used in this research is secondary data in the form of data on the number of airplane passengers at Soekarno ...
M. Pio Hidayatullah, Ferra Yanuar, Dodi Devianto   +2 more
doaj   +1 more source

APPLICATION OF MAMDANI FUZZY METHOD TO PREDICT THE AMOUNT OF PINE RESIN PRODUCTION

Barekeng, 2023
PT. Inhutani IV Aceh District needs to plan the right production in order to achieve maximum profit. Therefore, the company needs to develop a system that can predict the amount of pine resin that can be produced. This study uses data from PT.
Fairus Fairus, Sonia Anisa Putri, Fitra Muliani   +2 more
doaj   +1 more source

Day-Ahead Solar Forecasting Based on Multi-level Solar Measurements

, 2017
The growing proliferation in solar deployment, especially at distribution level, has made the case for power system operators to develop more accurate solar forecasting models.
Alanazi, Mohana, Khodaei, Amin, Mahoor, Mohsen   +2 more
core   +1 more source

Analysis Accuracy Of Forecasting Measurement Technique On Random K-Nearest Neighbor (RKNN) Using MAPE And MSE

Journal of Physics: Conference Series, 2019
Forecasting is apply because of complexity and uncertainty faced by high-dimensional data available in the fields of bioinformatics, chemometrics, banking and other applications.
S. Prayudani, Ainul Hizriadi, Y. Lase, Yulia Fatmi, Al-Khowarizmi   +4 more
semanticscholar   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

OPTIMAL PORTFOLIO FORMATION USING MEAN VARIANCE EFFICIENT PORTFOLIO AND CAPITAL ASSET PRICING MODEL WITH ARTIFICIAL NEURAL NETWORK AS STOCK SELECTION METHOD

Barekeng
There are two main things in forming an optimal stock portfolio: stock selection and stock weight determination. This study aims to determine the performance of an optimal portfolio formed using ANN as a stock selection method and MVEP (Mean-Variance ...
Emy Siswanah, Siti Maslihah, Agustina Anggraini, Muhammad Malik Hakim   +3 more
doaj   +1 more source

A review on the selection of lean production tools and techniques [PDF]

, 2016
There has been numerous published literature related to lean production. However, very limited studies have been found focussing on the selection of lean production tools and techniques especially for Malaysian context.
Mohammad, Musli, Omar, Badrul, Ramly, Edly Ferdin, Yahya, Mohd Shahir   +3 more
core  

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source