|
|
|
|
|
Christopher Jun Qian Teh, Micheal Drieberg, Khairul Nisak Md Hasan, Abdul Latif Shah and Rizwan Ahmad
The use of photovoltaic (PV) panels in interior spaces is expected to increase due to the proliferation of low-power sensor devices in the IoT domain. PV models are critical for estimating the I?V curves that define their performance at various light int...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sophia-Ekaterini Avgerinou, Eleni-Apostolia Anyfadi, Georgios Michas and Filippos Vallianatos
Greece is one of Europe?s most seismically active areas. Seismic activity in Greece has been characterized by a series of strong earthquakes with magnitudes up to Mw = 7.0 over the last five years. In this article we focus on these strong events, namely ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tribeni C. Sharma and Umed S. Panu
Among the various methods for estimating reservoir volumes, the Gould probability matrix (GPM) method has been touted as a powerful method for estimating reservoir volumes. The other methods in vogue are the Behavior analysis (BA) with the latest inducti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hang Yin, Zeyu Wu, Jun-Chao Wu, Yalin Chen, Mingxuan Chen, Shixuan Luo, Lijun Gao and Shahbaz Gul Hassan
The egg production rate is a crucial metric in animal breeding, subject to biological and environmental influences and exhibits characteristics of small sample sizes and non-linearity. Currently, egg production rate prediction research predominantly focu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qibing Jin and Yuming Zhang
Parameter optimization in the field of control engineering has always been a research topic. This paper studies the parameter optimization of an active disturbance rejection controller. The parameter optimization problem in controller design can be summa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vladimir Stanovov, Shakhnaz Akhmedova and Eugene Semenkin
Parameter adaptation is one of the key research fields in the area of evolutionary computation. In this study, the application of neuroevolution of augmented topologies to design efficient parameter adaptation techniques for differential evolution is con...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yule Chen, Hong Liang and Shuo Pang
Underwater target classification methods based on deep learning suffer from obvious model overfitting and low recognition accuracy in the case of small samples and complex underwater environments. This paper proposes a novel classification network (Effic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Victor A. Snyder and Miguel A. Vázquez
A phenomenon causing instability of soil structure and associated hydraulic properties in recently tilled soils is aggregate fragmentation induced by wetting and drying cycles. We analyzed data from three experiments in Puerto Rico, the UK and China meas...
ver más
|
|
|
|
|
|
|
|
|
|
|
Indrit Hoxha and Taoufik Meklachi
Curve fitting discrete data (x, y) with a smooth function is a complex problem when faced with sharply oscillating data or when the data are very large in size. We propose a straightforward method, one that is often overlooked, to fit discrete data (s" r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lvqing Wang, Zhaozi Zhang, Bingchen Liang, Dongyoung Lee and Shaoyang Luo
A combination of the WAVEWATCH III (WW3) model and a modified Holland vortex model is developed and studied in the present work. The Holland 2010 model is modified with two improvements: the first is a new scaling parameter, bs, that is formulated with i...
ver más
|
|
|
|
|
|