Intelligent approaches for sustainable management and valorisation of food waste
Food waste (FW) is a severe environmental and social concern that today's civilization is
facing. Therefore, it is necessary to have an efficient and sustainable solution for managing …
facing. Therefore, it is necessary to have an efficient and sustainable solution for managing …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
Neural network–based financial volatility forecasting: A systematic review
Volatility forecasting is an important aspect of finance as it dictates many decisions of market
players. A snapshot of state-of-the-art neural network–based financial volatility forecasting …
players. A snapshot of state-of-the-art neural network–based financial volatility forecasting …
A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network
H Niu, K Xu, W Wang - Applied Intelligence, 2020 - Springer
Abstract Changes in the composite stock price index are a barometer of social and
economic development. To improve the accuracy of stock price index prediction, this paper …
economic development. To improve the accuracy of stock price index prediction, this paper …
A hybrid approach of adaptive wavelet transform, long short-term memory and ARIMA-GARCH family models for the stock index prediction
M Zolfaghari, S Gholami - Expert Systems with Applications, 2021 - Elsevier
Modelling and forecasting the stock price constitute an important area of financial research
for both academics and practitioners. This study seeks to determine whether improvements …
for both academics and practitioners. This study seeks to determine whether improvements …
Deep learning with long short-term memory neural networks combining wavelet transform and principal component analysis for daily urban water demand forecasting
B Du, Q Zhou, J Guo, S Guo, L Wang - Expert Systems with Applications, 2021 - Elsevier
A reliable and accurate urban water demand forecasting plays a significant role in building
intelligent water supplying system and smart city. Due to the high frequency noise and …
intelligent water supplying system and smart city. Due to the high frequency noise and …
Modeling and predicting the electricity production in hydropower using conjunction of wavelet transform, long short-term memory and random forest models
M Zolfaghari, MR Golabi - Renewable Energy, 2021 - Elsevier
Electricity is an important pillar for the economic growth and the development of societies.
Surveying and predicting the electricity production (EP) is a valuable factor in the hands of …
Surveying and predicting the electricity production (EP) is a valuable factor in the hands of …
Forecasting Bitcoin returns with long short-term memory networks and wavelet decomposition: A comparison of several market determinants
Investigating Bitcoin price forecasting has attracted academic attention recently. However,
despite some studies on potential economic determinants of Bitcoin price, a consensus on …
despite some studies on potential economic determinants of Bitcoin price, a consensus on …
[HTML][HTML] Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction
The prediction of stock price has always been a main challenge. The time series of stock
price tends to exhibit very strong nonlinear characteristics. In recent years, with the rapid …
price tends to exhibit very strong nonlinear characteristics. In recent years, with the rapid …
TOW-IDS: intrusion detection system based on three overlapped wavelets for automotive ethernet
Devices that ensure vehicle and driver safety or provide services to drivers generate a
substantial amount of network traffic. The traffic is transmitted to the In-Vehicle Network (IVN) …
substantial amount of network traffic. The traffic is transmitted to the In-Vehicle Network (IVN) …