Artificial neural networks for water quality soft-sensing in wastewater treatment: a review
This paper aims to present a comprehensive survey on water quality soft-sensing of a
wastewater treatment process (WWTP) based on artificial neural networks (ANNs). We …
wastewater treatment process (WWTP) based on artificial neural networks (ANNs). We …
Aspect-based sentiment analysis: A survey of deep learning methods
Sentiment analysis is a process of analyzing, processing, concluding, and inferencing
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
A novel approach to large-scale dynamically weighted directed network representation
A d ynamically w eighted d irected n etwork (DWDN) is frequently encountered in various big
data-related applications like a terminal interaction pattern analysis system (TIPAS) …
data-related applications like a terminal interaction pattern analysis system (TIPAS) …
HCFNN: high-order coverage function neural network for image classification
Recent advances in deep neural networks (DNNs) have mainly focused on innovations in
network architecture and loss function. In this paper, we introduce a flexible high-order …
network architecture and loss function. In this paper, we introduce a flexible high-order …
A stochastic configuration network based on chaotic sparrow search algorithm
C Zhang, S Ding - Knowledge-Based Systems, 2021 - Elsevier
Stochastic configuration network (SCN), as a novel incremental generation model with
supervisory mechanism, has an excellent superiority in solving large-scale data regression …
supervisory mechanism, has an excellent superiority in solving large-scale data regression …
NeuLFT: A novel approach to nonlinear canonical polyadic decomposition on high-dimensional incomplete tensors
AH igh-D imensional and I ncomplete (HDI) tensor is frequently encountered in a big data-
related application concerning the complex dynamic interactions among numerous entities …
related application concerning the complex dynamic interactions among numerous entities …
Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …
intensive applications but they only have limited resources, including CPU, memory, battery …
A latent factor analysis-based approach to online sparse streaming feature selection
Online streaming feature selection (OSFS) has attracted extensive attention during the past
decades. Current approaches commonly assume that the feature space of fixed data …
decades. Current approaches commonly assume that the feature space of fixed data …
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning
EF Ohata, GM Bezerra, JVS das Chagas… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
The new coronavirus (COVID-19), declared by the World Health Organization as a
pandemic, has infected more than 1 million people and killed more than 50 thousand. An …
pandemic, has infected more than 1 million people and killed more than 50 thousand. An …
A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models
Photovoltaic (PV) generation systems are vital to the utilization of the sustainable and
pollution-free solar energy. However, the parameter estimation of PV systems remains very …
pollution-free solar energy. However, the parameter estimation of PV systems remains very …