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ERNEAD: Training of Artificial Neural Networks Based on a Genetic Algorithm and Finite Automata Theory
(Editorial Board, 2018)
This paper presents a variation in the algorithm EMODS (Evolutionary Metaheuristic of Deterministic Swapping), at the level of its mutation stage in order to train algorithms for
each problem. It should be noted that the ...
Modeling of second-order spectrophotometric data generated by a pH-gradient flow injection technique for the determination of doxorubicin in human plasma
(Elsevier Science, 2013-09)
In this paper, the development of a pH-gradient flow-injection method with diode-array spectrophotometric detection combined with extended multivariate curve resolution–alternating least-squares (MCR–ALS) to quantitate ...
Fourier-lapped multilayer perceptron method for speech quality assessment
(Hindawi Publishing CorporationSylvaniaEUA, 2005)
A Novel Approach on Visual Question Answering by Parameter Prediction using Faster Region Based Convolutional Neural Network
Visual Question Answering (VQA) is a stimulating process in the field of Natural Language Processing (NLP) and Computer Vision (CV). In this process machine can find an answer to a natural language question which is related ...
Estimation of the optical constants and the thickness of thin films using unconstrained optimization
(Academic Press IncSan DiegoEUA, 1999)
Prediction of the bed-load transport by gas-liquid stratified flows in horizontal ducts
(Elsevier Science IncNew YorkEUA, 2013)
Analytical approach for the simultaneous determination of quinolones in edible animal products. Modeling pH–modulated fluorescence excitation–emission matrices four–way arrays
(Elsevier Science, 2019-01)
This paper describes a novel procedure for the simultaneous determination of four quinolones pipemidic acid, enoxacin, marbofloxacin and enrofloxacin in different edible animal tissues. It is based on third–order data ...
Data-driven analysis and machine learning for energy prediction in distributed photovoltaic generation plants: A case study in Queensland, Australia
(2022-04-01)
Understanding patterns and energy-related data in photovoltaic systems is one of the key tasks in energy generation and distribution. In fact, the use of data-driven tools and predictive learning models can support the ...
Configurable 2D nano-flows in mesoporous films using paper patches
(Royal Society of Chemistry, 2018-02)
Designing and controlling spontaneous imbibition is becoming a key requirement for advanced devices, presenting a substantial scientific and engineering challenge. Here we describe an approach that allows directional ...