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Accuracy of Demirjian's and Indian-specific formulae in age estimation using eight-teeth method in Kanyakumari population

Indian Journal of Dental Research, 2019
Background: Most of the scientific formulae for age estimation in forensic odontology were tested among western population and hence cannot be applied to the Indian population consistently. Therefore, it was in this context that Dr. Ashith B. Acharya had
S Akhil +3 more
doaj +1 more source

Towards Resilient Agriculture to Hostile Climate Change in the Sahel Region: A Case Study of Machine Learning-Based Weather Prediction in Senegal

Agriculture, 2022
To ensure continued food security and economic development in Africa, it is very important to address and adapt to climate change. Excessive dependence on rainfed agricultural production makes Africa more vulnerable to climate change effects.
Chimango Nyasulu +4 more
doaj +1 more source

ACCRUED FORECASTING ON TOURIST’S ARRIVAL IN BANGLADESH FOR SUSTAINABLE DEVELOPMENT [PDF]

Geo Journal of Tourism and Geosites, 2021
Forecasting of potential tourists’ appearance could assume a critical role in the tourism industry, arranging at all levels in both the private and public sectors.
Sayed Mohibul HOSSEN +3 more
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Mean absolute percent error (± SD) of the activities undertaken. [PDF]

, 2017
Mean absolute percent error (± SD) of the activities undertaken.
Enhad A. Chowdhury (3778609) +4 more
core +1 more source

Root mean square error (RMSE) and mean absolute error (MAE) values of cross-validation for the different sets of inverse distance weighting parameters. [PDF]

, 2023
Root mean square error (RMSE) and mean absolute error (MAE) values of cross-validation for the different sets of inverse distance weighting parameters.
Ismael H. Silveira (14123977) +3 more
core +1 more source

A weighted error-minimizer parameter estimation technique for one-inflated positive Poisson distribution

Results in Control and Optimization
An error-minimizing estimator is always preferred in model fittings. However, each error-minimizing estimator minimizes error differently. This paper combines four error-minimizing estimators, which are root mean-squared error, mean absolute error, root ...
Razik Ridzuan Mohd Tajuddin
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PRAKIRAAN CURAH HUJAN KECAMATAN KAIRATU KABUPATEN SERAM BAGIAN BARAT DENGAN MODEL AUTOREGRESIVE INTEGRATED MOVING AVERAGE (ARIMA)

Barekeng, 2007
Forecasting is an activity to use the past data as the basic to predict the future event that will occur. The result from the prediction is an un-sure event or just a guess, but with some certain methods then the prediction will be more than a guess, it ...
Grace Loupatty
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Evaluation of load forecasting using different models

Measurement: Energy
This paper addresses a new prediction of load technique that joins the adaptability of RNNs with the capabilities of temporal modelling of Kolmogorov–Arnold Recurrent with good accuracy, because in energy management, load forecasting is essential since ...
Saroj Kumar Panda, Bishwajit Dey
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A multi-variable multi-step Seq2seq networks for the state of charge estimation of lithium-ion battery

Case Studies in Thermal Engineering, 2023
Due to the complexity and changeable of lithium-ion batteries, we propose a multi-variable and multi-step Temporal neural network to cover this task. Specially, a novel multi-step training strategy is applied to deal with long time sequences, and multi ...
Yufeng Huang, Jian Sun, Lei Xu
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Mean absolute error before and after using the gating function. [PDF]

, 2019
Mean absolute error before and after using the gating function.
Michael Mangan (849820) +3 more
core +1 more source

mean absolute percentage error
mean squared error
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