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Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0837-9
Abstract: At present, the numerical prediction models fail to predict effectively due to the lack of basic data of pollutant concentration in a short term in China. Therefore, it is necessary to study the statistical prediction…
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Keywords:
nnp bpnn;
model;
prediction;
algorithm ... See more keywords
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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2056
Abstract: Abstract State of charge (SOC) estimation for lithium-ion battery (LIB) is always a vital issue for battery management system (BMS) of LIBs. Due to the complex nonlinear characteristics of LIBs, data-driven model and estimation methods…
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Keywords:
state charge;
battery;
temperature;
bpnn ... See more keywords
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Published in 2021 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2021.01.015
Abstract: Abstract This paper proposes the salp swarm algorithm (SSA) combined with a backpropagation neural network (BPNN) to solve the software fault prediction (SFP) problem. The SFP problem is one of the well-known software engineering problems…
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Keywords:
salp swarm;
problem;
software fault;
prediction ... See more keywords
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Published in 2022 at "ACS Omega"
DOI: 10.1021/acsomega.2c04866
Abstract: In this work, the pyrolysis behavior and gaseous products of petroleum coke were investigated by nonisothermal thermogravimetric analysis (TGA) and thermogravimetry–mass spectrometry (TG–MS). Then, the pyrolysis kinetics of six kinds of petroleum coke (Fushun (FS),…
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Keywords:
bpnn;
pyrolysis;
model;
petroleum coke ... See more keywords
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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-72808-y
Abstract: Formulating a course of action (COA) before a combat is crucial for operational command. Research in command and control (C2) artificial intelligence is currently focused on using intelligent auxiliary decision-making methods to implement COA. This…
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Keywords:
coa;
decision;
model;
bpnn ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-27333-x
Abstract: The agricultural sector confronts escalating challenges, including population growth, climate change, and constrained land resources. Addressing these issues requires agricultural methods to evolve into more intelligent, sustainable, and efficient practices in order to satisfy the…
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Keywords:
greenhouse;
ventilation control;
propagation neural;
bpnn ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2840333
Abstract: With emphasis on long-span bridges, the dynamic responses of bridges without considering random traffic flows were found to be different from actual situations. The introduction of a random traffic flow model provides a new approach…
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Keywords:
aco bpnn;
bpnn model;
bpnn;
model ... See more keywords
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1
Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/7760734
Abstract: All organisms contain antimicrobial peptides (AMPs), which are a critical component of the innate immune system. These chemicals have the ability to suppress the growth of a variety of fungi, bacteria, and viruses. Because AMPs…
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Keywords:
bpnn;
ann revealing;
viral peptides;
revealing viral ... See more keywords
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Published in 2024 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/09544070241259899
Abstract: To predict the classification of the pedestrian landing mechanism in pedestrian-vehicle collisions, 1303 reconstructed real pedestrian-vehicle collision cases were selected, and relevant data from before, during, and after the collisions were extracted. A total of…
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Keywords:
classification pedestrian;
pedestrian landing;
prediction;
mechanism ... See more keywords
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Published in 2024 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-024-02442-9
Abstract: Accurate fasting plasma glucose (FPG) trend prediction is important for management and treatment of patients with type 2 diabetes mellitus (T2DM), a globally prevalent chronic disease. (Generalised) linear mixed-effects (LME) models and machine learning (ML)…
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Keywords:
fpg;
mixed effects;
model;
fasting plasma ... See more keywords
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Published in 2025 at "PLOS ONE"
DOI: 10.1371/journal.pone.0317277
Abstract: This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm—Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural fields is…
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Keywords:
ega bpnn;
prediction;
bpnn;
model ... See more keywords