A LSTM based framework for handling multiclass imbalance in DGA botnet detection
In recent years, botnets have become a major threat on the Internet. Most sophisticated bots
use Domain Generation Algorithms (DGA) to pseudo-randomly generate a large number of …
use Domain Generation Algorithms (DGA) to pseudo-randomly generate a large number of …
Semi-supervised learning for early detection and diagnosis of various air handling unit faults
Modern data-driven fault detection and diagnosis (FDD) techniques show impressive high
diagnostic accuracy in recognizing various air handling units (AHUs) faults. Most existing …
diagnostic accuracy in recognizing various air handling units (AHUs) faults. Most existing …
Cost-sensitive and sequential feature selection for chiller fault detection and diagnosis
Fault detection and diagnosis (FDD) plays an essential role of maintaining large-scale
heating ventilation air conditioning (HVAC) systems for industrial usage. The process of …
heating ventilation air conditioning (HVAC) systems for industrial usage. The process of …
Designing localized MPPT for PV systems using fuzzy-weighted extreme learning machine
A maximum power point tracker (MPPT) should be designed to deal with various weather
conditions, which are different from region to region. Customization is an important step for …
conditions, which are different from region to region. Customization is an important step for …
Monitoring wind turbines' unhealthy status: a data-driven approach
Condition monitoring plays an important role in wind turbine maintenance, wherein
monitoring turbines' unhealthy statuses, mainly those not-runnable statuses causing …
monitoring turbines' unhealthy statuses, mainly those not-runnable statuses causing …
Fault diagnosis of components and sensors in HVAC air handling systems with new types of faults
Air handling systems are the key sub-systems of heating ventilation and air conditioning
(HVAC) systems. They condition and deliver air to satisfy human thermal comfort …
(HVAC) systems. They condition and deliver air to satisfy human thermal comfort …
An extended genetic algorithm based gene selection framework for cancer diagnosis
K Yan, H Lu - 2018 9th International Conference on Information …, 2018 - ieeexplore.ieee.org
Existing biomedical research shows that cancers can be diagnosed by effective feature
selection and classification of DNA microarray in the molecular level. DNA microarrays are …
selection and classification of DNA microarray in the molecular level. DNA microarrays are …
Data-driven intelligent maintenance planning of smart meter reparations for large-scale smart electric power grid
W Wang, H Chen, B Lou, N Jin, X Lou… - 2018 IEEE SmartWorld …, 2018 - ieeexplore.ieee.org
Smart electric power grid, or in short, smart grid, consists a large number of complex
computerized electronic devices, such as smart meters, smart appliances, renewable energy …
computerized electronic devices, such as smart meters, smart appliances, renewable energy …
Applying exponential family distribution to generalized extreme learning machine
The learning algorithm of an extreme learning machine (ELM) has two fundamental steps: 1)
random nonlinear feature transformation and 2) least squares learning. Since the …
random nonlinear feature transformation and 2) least squares learning. Since the …
Time Series Mining: A Computational Intelligence Approach
J Li - 2018 - era.library.ualberta.ca
Time series has become prevalent in a broad range of real-world applications such as
weather, health care, agricultural production, satellite image analysis, speech recognition …
weather, health care, agricultural production, satellite image analysis, speech recognition …