57   Artículos

 
en línea
Youssef Brouziyne, Ali El Bilali, Terence Epule Epule, Victor Ongoma, Ahmed Elbeltagi, Jamal Hallam, Fouad Moudden, Maha Al-Zubi, Vincent Vadez and Rachael McDonnell    
North Africa (NA) is supposed to lower emissions in its agriculture to honor climate action commitments and to impulse sustainable development across Africa. Agriculture in North Africa has many assets and challenges that make it fit to use the tools of ... ver más
Revista: Climate    Formato: Electrónico

 
en línea
Pieter Cawood and Terence Van Zyl    
The techniques of hybridisation and ensemble learning are popular model fusion techniques for improving the predictive power of forecasting methods. With limited research that instigates combining these two promising approaches, this paper focuses on the... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Thabang Mathonsi and Terence L. van Zyl    
Hybrid methods have been shown to outperform pure statistical and pure deep learning methods at forecasting tasks and quantifying the associated uncertainty with those forecasts (prediction intervals). One example is Exponential Smoothing Recurrent Neura... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Yao Wei, Francesco Macheda, Zelong Zhao, Terence Tse, Evgeny Plekhanov, Nicola Bonini and Cedric Weber    
Hydrogen-rich superhydrides are promising high-???? T c superconductors, with superconductivity experimentally observed near room temperature, as shown in recently discovered lanthanide superhydrides at very high pressures, e.g., LaH10 10 at 170 GPa an... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Omar Alghushairy, Raed Alsini, Terence Soule and Xiaogang Ma    
Outlier detection is a statistical procedure that aims to find suspicious events or items that are different from the normal form of a dataset. It has drawn considerable interest in the field of data mining and machine learning. Outlier detection is impo... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Bolelang H. Sibolla, Serena Coetzee and Terence L. Van Zyl    
Sensor networks generate substantial amounts of frequently updated, highly dynamic data that are transmitted as packets in a data stream. The high frequency and continuous unbound nature of data streams leads to challenges when deriving knowledge from th... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Frances Wiig, Michael J. Harrower, Alexander Braun, Smiti Nathan, Joseph W. Lehner, Katie M. Simon, Jennie O. Sturm, John Trinder, Ioana A. Dumitru, Scott Hensley and Terence Clark    
Subsurface imaging in arid regions is a well-known application of satellite Synthetic Aperture Radar (SAR). Archaeological prospection has often focused on L-band SAR sensors, given the ability of longer wavelengths to penetrate more deeply into sand. In... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Anou Dreyfus, Terence Odoch, Lordrick Alinaitwe, Sabrina Rodriguez-Campos, Amanuel Tsegay, Valentine Jaquier and Clovice Kankya    
-

 
en línea
Terence Epule Epule, James D. Ford, Shuaib Lwasa and Laurent Lepage    
Climate projections in Sub-Saharan Africa (SSA) forecast an increase in the intensity and frequency of droughts with implications for maize production. While studies have examined how maize might be affected at the continental level, there have been few ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Terence P. McGonigle and William G. Turner    
-
Revista: Agriculture    Formato: Electrónico

« Anterior     Página: 1 de 4     Siguiente »