This paper developed an effective health indicator to indicate lithium-ion battery state of
health and moving-window-based method to predict battery remaining useful life. The health …

More and more network traffic data have brought great challenge to traditional intrusion
detection system. The detection performance is tightly related to selected features and …

Due to the intermittency and uncertainty in photovoltaic (PV) power outputs, not only
deterministic point predictions (DPPs), but also associated prediction Intervals (PIs) are …

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 …

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 …

Sign language recognition aims to recognize meaningful movements of hand gestures and
is a significant solution in intelligent communication between the deaf community and …

This paper attempts to identify the requirement and the development of machine learning‐
based mobile big data (MBD) analysis through discussing the insights of challenges in the …

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 …

Maturity level-based classification system plays an essential role in the design of tomato
harvesting robot. Traditional knowledge-based systems are unable to meet the current …

For the purpose of enhancing the discriminability of convolutional neural networks (CNNs)
and facilitating the optimization, we investigate the activation function for a neural network …