Results 71 to 80 of about 48,097 (299)
MAPE across sections on a sample day.
, 2022 MAPE across sections on a sample day.
Lelitha Vanajakshi (13851027) +2 more
core +1 more source
Advanced Science, EarlyView.A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan +8 more
wiley +1 more source
FORECASTING FARMER EXCHANGE RATE IN CENTRAL JAVA PROVINCE USING VECTOR INTEGRATED MOVING AVERAGE
Media Statistika, 2020 Farmer Exchange Rate (FER) is an indicator that can be used to measure the level of farmers welfare. For every agriculture sector, FER is affected by the historical price of harvest from the corresponding sector and historical prices of other agriculture
Trimono Trimono +2 more
doaj +1 more source
Transforming interior design with AI: Solutions for SMEs in space generation
En un entorno saturado y altamente competitivo, las pequeñas y medianas empresas (pymes) y los emprendedores en diseño de interiores enfrentan dificultades significativas para destacarse mediante proyectos innovadores.
Mape Garavito, Diana Camila
core +1 more source
Advanced Electronic Materials, EarlyView.A physics‐guided generative surrogate framework is developed for programmable metasurface beamforming. Mode‐conditioned binary state generation, aperture‐physics prediction, routed residual correction, NSGA‐II optimization, and CST validation are combined to support fast candidate screening and full‐wave beam refinement across single‐beam, dual‐beam ...
Wenqian Liu +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Advanced Intelligent Discovery, EarlyView.Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
Barekeng, 2020 This study uses IHK data from East Kalimantan Province in January 2016 to February 2019, which has a patterned trend. Data that shows a trend, can use double exponential smoothing forecasting one parameter from Brown and two parameters from Holt.
Humairo Dyah Puji Habsari +2 more
doaj +1 more source
MAPE for Decomposition method (Regression).
, 2014 MAPE for Decomposition method (Regression).
Xiaosong Li (135207) +3 more
core +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source