Novel integrated modelling based on multiplicative long short-term memory (mLSTM) deep learning model and ensemble multi-criteria decision making (MCDM) …

A Mohammadifar, H Gholami, S Golzari - Journal of Environmental …, 2023 - Elsevier
Flood risk assessment is a key step in flood management and mitigation, and flood risk
maps provide a quantitative measure of flood risk. Therefore, integration of deep learning …

[PDF][PDF] Multi-Strategy Fusion for Enhancing Localization in Wireless Sensor Networks (WSNs)

MA Salman, MA Mahdi - Iraqi Journal for Computer Science and …, 2024 - iasj.net
Localization in wireless sensor networks (WSNs) plays a crucial role in various applications
that rely on spatial information. This paper introduces the Multi-Strategy Fusion for …

Methods for integrating extraterrestrial radiation into neural network models for day-ahead PV generation forecasting

SC Jo, YG Jin, YT Yoon, HC Kim - Energies, 2021 - mdpi.com
Variability, intermittency, and limited controllability are inherent characteristics of
photovoltaic (PV) generation that result in inaccurate solutions to scheduling problems and …

Network Public Opinion Sentiment Analysis based on Bert Model

Q Dong, T Sun, Y Xu, X Xu, M Zhong… - 2022 IEEE 10th …, 2022 - ieeexplore.ieee.org
To solve the high complexity of traditional methods, this paper proposes a Bert-based
network public opinion sentiment analysis method to improve the analysis efficiency of …

[图书][B] The Problem of Reputation Reliability in Online Freelance Markets

E Ishmukhametova, M Sandomirskaia - 2023 - wp.hse.ru
This paper explains how the problem of reputation credibility may arise in online freelance
markets, as clients often complain about the quality of the completed work irrespective of the …