Results 31 to 40 of about 874,374 (290)

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
doaj   +1 more source

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
doaj   +1 more source

QUALITATIVE ANALYSIS OF DEMOGRAPHIC PERSPECTIVE AND HUMAN POPULATION MODEL WITHIN BANGLADESH AND SRI LANKA [PDF]

Journal of Mechanics of Continua and Mathematical Sciences
This article presents projections of the future population growth in Bangladesh and Sri Lanka, along with a comparative analysis of the demographics of these two countries.
Pinakee Dey, Anish Kumar Adhikary, Adham Abhi, Sharmin Sultana, Asif Hasan, Tania Rahman, Md. Monower Anjum Niloy, Shuvo Sarker, Rezaul Karim   +8 more
doaj   +1 more source

An improved method for estimating dissolved oxygen in crab ponds based on Long Short-Term Memory [PDF]

智慧农业, 2019
Dissolved oxygen (DO) is vital to aquaculture industry and affects the yield of aquaculture. Low DO in water can lead to death of crabs, therefore, it is important to measure DO accurately.
Zhu Nanyang, Wu Hao, Yin Daheng, Wang Zhiqiang, Jiang Yongnian, Guo Ya
doaj   +1 more source

Weighted Moving Average of Forecasting Method for Predicting Bitcoin Share Price using High Frequency Data: A Statistical Method in Financial Cryptocurrency Technology [PDF]

, 2018
Bitcoin is a type of cryptocurrency that implemented decentralized digital currency method. The transaction is monitored and validated by peer-to peer system using hash programming.
Bakar, N. A. (Nashirah), Rosbi, S. (Sofian)   +1 more
core   +1 more source

A new accuracy measure based on bounded relative error for time series forecasting [PDF]

, 2017
Many accuracy measures have been proposed in the past for time series forecasting comparisons. However, many of these measures suffer from one or more issues such as poor resistance to outliers and scale dependence.
A Davydenko, A Esfahanipour, C Chatfield, Chao Chen, DJ Wright, I Svalina, Jamie Twycross, JG De Gooijer, Jonathan M. Garibaldi, JS Armstrong, JS Armstrong, JS Armstrong, JS Armstrong, K Ord, LY Wei, MA Boyacioglu, MP Clements, P Goodwin, PJ Fleming, R Fildes, RJ Hyndman, S Makridakis, S Makridakis, S Makridakis, SG Makridakis, Zhong-Ke Gao, ZK Gao, ZK Gao, ZK Gao, ZK Gao, ZO Olaofe   +30 more
core   +2 more sources

The anti‐CRISPR protein AcrIE8.1 inhibits the type I‐E CRISPR‐Cas system by directly binding to the Cascade subunit Cas11

FEBS Letters, EarlyView.
In this study, we present the structure of AcrIE8.1, a previously uncharacterized anti‐CRISPR protein that inhibits the type I‐E CRISPR‐Cas system. Through a combination of structural and biochemical analyses, we demonstrate that AcrIE8.1 directly binds to the Cas11 subunit of the Cascade complex to inhibit the CRISPR‐Cas system.
Young Woo Kang, Hyun Ho Park
wiley   +1 more source

Vertical wind speed extrapolation using statistical approaches [PDF]

FME Transactions
The wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H., Balghonaim Adil, Pahlevi Rizka Reza, Rehman S., Mohandes M.   +4 more
doaj   +1 more source

A novel bidirectional LSTM deep learning approach for COVID-19 forecasting

Scientific Reports, 2023
COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pandemic.
Nway Nway Aung, Junxiong Pang, Matthew Chin Heng Chua, Hui Xing Tan   +3 more
doaj   +1 more source

Structural insights into lacto‐N‐biose I recognition by a family 32 carbohydrate‐binding module from Bifidobacterium bifidum

FEBS Letters, EarlyView.
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang, Naoki Sunagawa, Toma Kashima, Kiyohiko Igarashi, Akimasa Miyanaga, Shinya Fushinobu   +5 more
wiley   +1 more source