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Spatial and temporal evolution characteristics of air quality based on EWM-LSTM model: A case study of Sichuan Province, China
Advances in urbanization and industrialization and increase in human activities have caused significant ecological and environmental effects in the...
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Research on adaptive combined wind speed prediction for each season based on improved gray relational analysis
The stability of the power grid and the operational security of the power system depend on the precise prediction of wind speed. In consideration of...
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Portfolio management using Additive Ratio Assessment based stock selection and deep learning for prediction
Portfolio management plays a significant role in wealth management. A wise selection of assets in a portfolio may give a higher return. Higher...
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Stock Market Forecasting Using Additive Ratio Assessment-Based Ensemble Learning
Stock market forecasting is fascinating yet challenging due to the influence of various factors. One such factor is sentiment which can influence the...
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Portfolio Optimization Using Novel EW-MV Method in Conjunction with Asset Preselection
Integration of asset preselection with appropriate portfolio optimization techniques can improve the performance of the portfolio optimization...
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Artificial intelligence algorithms for cyberspace security applications: a technological and status review
Three technical problems should be solved urgently in cyberspace security: the timeliness and accuracy of network attack detection, the credibility...
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Convergence of Data Analytics, Big Data, and Machine Learning: Applications, Challenges, and Future Direction
The fusion of Data Analytics, Big Data, and Machine Learning has become a powerful force in the always-changing world of data-driven decision-making....
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Adaptive hyperparameter optimization for short term traffic flow prediction with spatial temporal correlated raster data
IoT-based Intelligent transport system(ITS) is an innovative solution to urban traffic problems by providing different modes of traffic, traffic...
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Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest
Friend recommendation plays a key role in promoting user experience in online social networks (OSNs). However, existing studies usually neglect...
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Domain knowledge discovery from abstracts of scientific literature on Nickel-based single crystal superalloys
Despite the huge accumulation of scientific literature, it is inefficient and laborious to manually search it for useful information to investigate...
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Post-processing of the UKMO ensemble precipitation product over various regions of Iran: integration of long short-term memory model with principal component analysis
An accurate forecast of precipitation can significantly enhance the management of water resources. While the data originated from ground-based...
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Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning
In the last decade, wire + arc additive manufacturing (WAAM), which is one of the most promising metal additive manufacturing technologies, has been...
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Towards Building Intrusion Detection Systems for Multivariate Time-Series Data
Recent network intrusion detection systems have employed machine learning and deep learning algorithms to defend against dynamically evolving network...
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Systematic Review on Fault Diagnosis on Rolling-Element Bearing
PurposeTo maintain machinery operations smoothly, Rolling-Element Bearings (REBs) are utilized so that the entire equipment’s safety is ensured....
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Maximizing embedding capacity for speech steganography: a segment-growing approach
It has been proven that the higher the correlation level between samples in the time-domain of a digital signal, the stronger the energy com paction...
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An extraction and novelty evaluation framework for technology knowledge elements of patents
Technology knowledge elements play an important role in technology innovation. However, there is still challenges about their extraction and...
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Progress in the prognosis of battery degradation and estimation of battery states
Lithium-ion batteries (LIBs) have gained immense popularity as a power source in various applications. Accurately predicting the health status of...
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A data-driven model predictive control for lighting system based on historical occupancy in an office building: Methodology development
The lighting system accounts for 8% of the total electricity consumption in commercial buildings in the United States and 12% of the total...
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Forecasting Stock and Commodity Prices
In the chapters so far, we covered a variety of concepts and solved diverse real-world problems. In this chapter, we will dive into...