Results 51 to 60 of about 48,097 (299)

MAPE results for the 3 models.

, 2022
MAPE results for the 3 models.
Ronan Doorley (7385399), Kent Larson (7385408), Vanesa Arroyo (12463131), Alex Berke (12463128), Marc Pons (12463134), Luis Alonso (7385402)   +5 more
core   +1 more source

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

EARTHQUAKE FREQUENCY DATA MODELING IN MENTAWAI USING FUZZY TIME SERIES LEE AND FUZZY TIME SERIES TSAUR

Barekeng
The Fuzzy Time Series (FTS) was first studied by Song and Chissom based on the theory of fuzzy sets and the concept of linguistic variables and their applications discovered by Zadeh. FTS has several models, namely FTS Lee, FTS Tsaur, and so on.
Septri Damayanti, Jose Rizal, Siska Yosmar, Nur Afandi, Vivin Acnesya   +4 more
doaj   +1 more source

Arima-based modeling and forecasting of monthly temperature variability in Burkina Faso under climate change scenarios up to 2050 [PDF]

Glasnik Srpskog Geografskog Društva
In a world facing climate change, temperature estimates are crucial for Sahelian countries like Burkina Faso, where agricultural production is highly dependent on weather conditions.
Ouedraogo Ibrahim
doaj   +1 more source

PERBANDINGAN METODE SEASONAL ARIMA DAN EXTREME LEARNING MACHINE PADA PERAMALAN JUMLAH WISATAWAN MANCANEGARA KE BALI

Barekeng, 2021
Bali Island of the Gods is one of the wealth of very popular tourist destinations and has the highest number of foreign tourists in Indonesia. It is very necessary to do more in-depth learning related to the projections or forecasting of foreign tourist ...
Bayu Galih Prianda, Edy Widodo
doaj   +1 more source

MAPE (%) between ActiGraph and Fitbit Flex.

, 2017
Error bars indicate IQR of MAPE. MAPE, median absolute percentage error.
David Koh (790879), Falk Müller-Riemenschneider (790880), Mahsa Paknezhad (3779071), Anne H. Y. Chu (403295), Sheryl H. X. Ng (790878), Alvaro Gauterin (3779068), Michael S. Brown (2514388)   +6 more
core   +1 more source

MAPE values across different prediction approach.

, 2022
MAPE values across different prediction approach.
Lelitha Vanajakshi (13851027), Arun K. Tangirala (5679398), Hima Elsa Shaji (13851024)   +2 more
core   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

Arabica Coffee Sales Forecasting Using ARIMA Neural Network (Case Study: KOTEM Bondowoso): Author's Country: Indonesia

Buana Information Technology and Computer Sciences
Kopi Tembakau (KOTEM) Bondowoso is a local coffee producer specializing in Arabica ground coffee, sourced directly from nearby farmer cooperatives. A major hurdle they face is accurately forecasting sales, a critical factor for optimizing production and ...
Muhammad Ariful Furqon, Saudi Efendi, Yanuar Nurdiansyah   +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