Results 191 to 200 of about 112,281 (246)
Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions
Energy Science &Engineering, EarlyView.The proposed MPPT controller (CRT‐POA‐PID) is implemented to enhance power efficiency in the PV system. The beta‐distributed point estimation technique is used for mismatch factor correction, improving performance. Simulations show a 98.42% efficiency improvement, a 4.54 dB reduction in total harmonic distortion, and faster convergence compared to ANN ...
Khuong Nguyen‐Vinh +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Series and Shunt Reactive compensation can be used to improve voltage stability. The L‐index and Fast Voltage Stability Index are used to evaluate stability. Cost of reactive compensation is included directly in the optimization process. Multi‐objective optimization determines the optimal sizing of FACTS devices.
Rawan Abu Zeitawyeh, Ayman Faza
wiley +1 more source
Risk‐Based Expansion Planning of Regional Energy Networks
Energy Science &Engineering, EarlyView.A risk‐based expansion planning model is proposed for RENs considering operation and investment costs. PVs and WTs power generation, demand response (DR), and failures of tie switches between RENs and distribution networks are defined as RENs operation uncertainties.
Mohammad DehghaniSanij +2 more
wiley +1 more source
Energy Science &Engineering, EarlyView.Schematic approach of the green diesel production process and its utilization. ABSTRACT A unique green catalyst was derived from novel powdered Uzere tallow seeds shell calcined at 700°C for 1 h in a muffle furnace. The catalytic activity of the Uzere acidified catalyst was due to a high proportion of sulphur trioxide, calcium oxide, and potassium ...
Sunday C. Iweka +2 more
wiley +1 more source
Regional adaptation of integrated pest management to control invasive forest insects
Frontiers in Ecology and the Environment, EarlyView.Globalization is increasing the threat of invasive forest insects to ecosystems. Control efforts against the same pest species progressively occur across distant jurisdictions as integrated pest management (IPM) programs or tactics developed in one region are adopted by another region.
Michael Stastny +2 more
wiley +1 more source
Food Frontiers, EarlyView.ABSTRACT The objective of this study was to use a multi‐omics (i.e., gene expression quantification, metabolomics, and fatty acid [FA] profiling) approach to separate and authenticate beef from three different dietary groups. In this 2‐year study, Red Angus steers (n = 54) were randomly allocated to one of three treatments: (1) complex biodiverse ...
Lucas Krusinski +7 more
wiley +1 more source
Incremental Fuzzy Decision Trees
, 2002 We present a new classification algorithm that combines three properties: It generates decision trees, which proved a valuable and intelligible tool for classification and generalization of data; it utilizes fuzzy logic, that provides for a fine grained description of classified items adequate for human reasoning; and it is incremental, allowing rapid ...
Marina Guetova +2 more
openalex +3 more sources
A New Incremental Learning Technique For Decision Trees With Thresholds
SPIE Proceedings, 1989 This paper presents some basic algorithms for manipulating decision trees with thresholds. The algorithms are based on discrete decision theory. This algebraic approach to discrete decision theory, in particular, provides syntactic techniques for reducing the size of decision trees.
Jacques Robin, B. Cockett, Yunzhou Zhu
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An Increment Decision Tree Algorithm for Streamed Data
2015 IEEE Trustcom/BigDataSE/ISPA, 2015 Incremental (online) learning algorithms are methods for on-demand classification process from continuous streams of data. The main purpose is to deal with the classification task when original dataset is too large to process or when new instances of data arrive at any time.
Dariusz Jankowski, Konrad Jackowski
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Pool-based active learning based on incremental decision tree
2010 International Conference on Machine Learning and Cybernetics, 2010 The pool-based active learning intends to collect the samples into the pool firstly, and selects the best informative sample from it which has no label to add into the training sets for updating the classifier secondly. This paper proposed a new method based on the incremental decision tree algorithm to measure the ambiguity of the unlabeled samples ...
Shuo Wang +3 more
openalex +3 more sources