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Pablo de Llano, Carlos Piñeiro, Manuel Rodríguez
Pág. pp. 163 - 198
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: univariate, linear, discriminate and logit regression; recursive partitioning, rough sets, artificial neural networks, and DEA. Our goals are: clarify the...
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Anton Kolosnitsyn, Oleg Khamisov, Eugene Semenkin and Vladimir Nelyub
We consider the Golden Section and Parabola Methods for solving univariate optimization problems. For multivariate problems, we use these methods as line search procedures in combination with well-known zero-order methods such as the coordinate descent m...
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Richard Kephart, Sebastian Plamowski and Pawel D. Domanski
The paper demonstrates the influence of leading variables on the quality evaluation of the operation of univariate control loops of a multi-loop control system used in a 1000 MW power unit. We analyse the course of the setpoint and process values, the ca...
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Ling Wu, Yuanjuan Gong, Xiaoping Bai, Wei Wang and Zhuo Wang
The nitrogen content is an important indicator affecting corn plants? growth status. Most of the standard hyperspectral imaging-based techniques for nondestructive detection of crop nitrogen content use a single feature as the input variable of the model...
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Veronika Bacová Mitková, Dana Halmová, Pavla Pekárová and Pavol Miklánek
In hydrological practice, individual elements of the hydrological cycle are most often estimated and evaluated separately. Uncertainty in the size estimation of extrema discharges and their return period can affect the statistical assessment of the signi...
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Xiyong Zhao, Yanzhou Li, Yongli Chen, Xi Qiao and Wanqiang Qian
Chlorophyll a (chl-a) concentration is an important parameter for evaluating the degree of water eutrophication. Monitoring it accurately through remote sensing is thus of great significance for early warnings of water eutrophication, and the inversion o...
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Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations. Nevertheless, the effectiveness of long-te...
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Kefala Taye Mekonnen, Dong-Hui Lee, Young-Gyu Cho, Ah-Yeong Son and Kang-Seok Seo
The biometric characterization of autochthonous Ethiopian chickens has not been fully investigated in the study area. In this study, we aimed to conduct biometric trait characterization and multivariate discriminant analysis of traditionally bred autocht...
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Muhammad Ridhwan Assel,Bin Raudha Arif Hanoeboen,Abdul Aziz Laitupa,Fibryano Saptenno
Pág. 322 - 337
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Suzan Dsouza, Mustafa Raza Rabbani, Iqbal Thonse Hawaldar and Ajay Kumar Jain
This study aims to determine the impact of banking efficiency on the profitability of the Indian banking division. The ratios (key variables) used in the study are mentioned by the Reserve Bank of India?RBI (Central bank of India). Through a quantitative...
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