Toward intelligent industrial informatics: A review of current developments and future directions of artificial intelligence in industrial applications
Research, the universal pursuit of new knowledge, is embarking on a fresh journey into
artificial intelligence (AI). ature reports that AI arose nine places to the fourth-most popular …
artificial intelligence (AI). ature reports that AI arose nine places to the fourth-most popular …
[HTML][HTML] Role of input features in developing data-driven models for building thermal demand forecast
C Wang, X Li, H Li - Energy and Buildings, 2022 - Elsevier
The energy consumption of buildings accounts for a major share in the modern society.
Accurate forecast of building thermal demand is of great significance to both building …
Accurate forecast of building thermal demand is of great significance to both building …
[HTML][HTML] Renewable energy management in smart grids by using big data analytics and machine learning
The application of big data in the energy sector is considered as one of the main elements of
Energy Internet. Crucial and promising challenges exist especially with the integration of …
Energy Internet. Crucial and promising challenges exist especially with the integration of …
[HTML][HTML] An integrated blockchain-based energy management platform with bilateral trading for microgrid communities
In this paper, an integrated blockchain-based energy management platform is proposed that
optimizes energy flows in a microgrid whilst implementing a bilateral trading mechanism …
optimizes energy flows in a microgrid whilst implementing a bilateral trading mechanism …
Knowledge-driven service offloading decision for vehicular edge computing: A deep reinforcement learning approach
The smart vehicles construct Internet of Vehicle (IoV), which can execute various intelligent
services. Although the computation capability of a vehicle is limited, multi-type of edge …
services. Although the computation capability of a vehicle is limited, multi-type of edge …
A novel fractional order model for state of charge estimation in lithium ion batteries
Battery models are the cornerstone to battery state of charge (SOC) estimation and battery
management systems in electric vehicles. This paper proposes a novel fractional-order …
management systems in electric vehicles. This paper proposes a novel fractional-order …
Prediction of short-term PV power output and uncertainty analysis
Due to the intermittency and uncertainty in photovoltaic (PV) power outputs, not only
deterministic point predictions (DPPs), but also associated prediction Intervals (PIs) are …
deterministic point predictions (DPPs), but also associated prediction Intervals (PIs) are …
Machine learning based big data processing framework for cancer diagnosis using hidden Markov model and GM clustering
G Manogaran, V Vijayakumar, R Varatharajan… - Wireless personal …, 2018 - Springer
The change in the DNA is a form of genetic variation in the human genome. In addition, the
DNA copy number change is also linked with the progression of many emerging diseases …
DNA copy number change is also linked with the progression of many emerging diseases …
Big data analysis technology for electric vehicle networks in smart cities
Z Lv, L Qiao, K Cai, Q Wang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
To explore the electric vehicle networks in smart cities through big data analysis technology,
this study utilizes K-means and fuzzy theory in big data analysis technology to construct an …
this study utilizes K-means and fuzzy theory in big data analysis technology to construct an …
Dual cross-entropy loss for small-sample fine-grained vehicle classification
Fine-grained vehicle classification is a challenging topic in computer vision due to the high
intraclass variance and low interclass variance. Recently, considerable progress has been …
intraclass variance and low interclass variance. Recently, considerable progress has been …