Results 21 to 30 of about 342,941 (283)
Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior? [PDF]
Autonomous vehicles use a variety of sensors and machine-learned models to predict the behavior of surrounding road users. Most of the machine-learned models in the literature focus on quantitative error metrics like the root mean square error (RMSE) to learn and report their models' capabilities.
Aravinda Ramakrishnan Srinivasan +11 more
openaire +3 more sources
Comparison of Rice Price Forecasting Using the ARIMA Method on Amazon Forecast and Sagemaker
Rice is one of the main commodities of trade in Indonesia. PT Food Station as the management company of Cipinang Rice Main Market every day publishes data on price, type of rice and the amount of rice that enters and exits Jakarta area.
Is Mardianto +3 more
doaj +1 more source
Os Modelos Digitais de Elevação (MDE) possibilitam identificar resultantes geomorfológicas e modelar a dinâmica dos processos da superfície terrestre. Identificar e analisar a precisão vertical dos MDE é pertinente para compreender as possibilidades de ...
Heitor Carvalho Lacerda +4 more
doaj +1 more source
ITEM: Inter-Texture Error Measurement for 3D Meshes [PDF]
We introduce a simple and innovative method to compare any two texture maps, regardless of their sizes, aspect ratios, or even masks, as long as they are both meant to be mapped onto the same 3D mesh.
Fuentes Sánchez, David +2 more
core +3 more sources
Chasing the objective upper eyelid symmetry formula; R2, RMSE, POC, MAE, and MSE
Abstract Purpose Investigate the most appropriate mathematical formula to objectively express upper eyelid contour symmetry. Methods 62 eyes of 31 patients were included in the study. Upper eyelid contour symmetry of the patients was classified subjectively (independent of MRD1) as poor, acceptable, and good by three oculoplastic specialists (
Kubra, Serefoglu Cabuk +6 more
openaire +2 more sources
RegBoost: a gradient boosted multivariate regression algorithm
PurposeInspired by the basic idea of gradient boosting, this study aims to design a novel multivariate regression ensemble algorithm RegBoost by using multivariate linear regression as a weak predictor.Design/methodology/approachTo achieve nonlinearity ...
Wen Li, Wei Wang, Wenjun Huo
doaj +1 more source
Land cover change and multiple remotely sensed datasets consistency in China
Although numerous land cover datasets can act as references for understanding land cover change in China, the inconsistencies between the datasets can also provide understanding. Previous studies on the consistency between land cover datasets have mostly
Hui Wang +4 more
doaj +1 more source
An Investigation of Vegetable Production in Iran by Using Time Series Models
BACKGROUND: Nowadays, agriculture, particularly vegetable production, plays a vital role in the lives of the people of the Islamic Republic of Iran. The proper forecast of harvesting of vegetable production is essential for the agriculture ministry; so ...
Zeynab Latifi, Hossein Shabanali Fami
doaj +1 more source
Investigating the impact of GDP and distance variables in the gravity model using sign and rank tests [PDF]
The gravity model of trade has been a workhorse of international economics over the last fifty years. The main variables incorporated in the standard gravity model of trade are gross domestic product of trading countries and distance between them.
Berislav ŽMUK, Hrvoje JOŠIĆ
doaj +1 more source
Time series forecasting of stock market using ARIMA, LSTM and FB prophet [PDF]
Considering turbulent character, predicting the future stocks of a company is a difficult endeavor. The goal of this study is to analyze the performance of three widely used forecasting methods: ARIMA, LSTM, and FBProphet.
Sunki Asha +4 more
doaj +1 more source

