A Hybrid Prediction Method for Realistic Network Traffic With Temporal Convolutional Network and LSTM

Road safety performance function analysis with visual feature importance of deep neural nets

(2020) Guangyuan Pan et al.   IEEE-CAA Journal of Automatica Sinica

Multivariate Temporal Convolutional Network: A Deep Neural Networks Approach for Multivariate Time Series Forecasting

(2019) Renzhuo Wan et al.   Electronics

Spatiotemporal Task Scheduling for Heterogeneous Delay-Tolerant Applications in Distributed Green Data Centers

(2019) Haitao Yuan et al.   IEEE Transactions on Automation Science and Engineering

Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction

(2018) Lu Peng et al.   ENERGY

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

RVLBPNN: A Workload Forecasting Model for Smart Cloud Computing

(2016) Yao Lu et al.   Scientific Programming

Cost-aware request routing in multi-geography cloud data centres using software-defined networking

(2015) Haitao Yuan et al.   Enterprise Information Systems

Comparing forecasting approaches for Internet traffic

(2015) Christos Katris et al.   EXPERT SYSTEMS WITH APPLICATIONS

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Denoising Nonlinear Time Series by Adaptive Filtering and Wavelet Shrinkage: A Comparison

(2009) Jianbo Gao et al.   IEEE SIGNAL PROCESSING LETTERS