6 citations · 11 across the 5 of their papers we have counts for
5 papers
Explaining Aviation Safety Incidents Using Deep Temporal Multiple Instance Learning
Vijay Manikandan Janakiraman
Although aviation accidents are rare, safety incidents occur more frequently and require a careful analysis to detect and mitigate risks in a timely manner. Analyzing safety incide…
Stochastic Gradient Based Extreme Learning Machines For Online Learning of Advanced Combustion Engines
Vijay Manikandan Janakiraman, XuanLong Nguyen, Dennis Assanis
In this article, a stochastic gradient based online learning algorithm for Extreme Learning Machines (ELM) is developed (SG-ELM). A stability criterion based on Lyapunov approach i…
Nonlinear Model Predictive Control of A Gasoline HCCI Engine Using Extreme Learning Machines
Vijay Manikandan Janakiraman, XuanLong Nguyen, Dennis Assanis
Homogeneous charge compression ignition (HCCI) is a futuristic combustion technology that operates with a high fuel efficiency and reduced emissions. HCCI combustion is characteriz…
Modeling The Stable Operating Envelope For Partially Stable Combustion Engines Using Class Imbalance Learning
Vijay Manikandan Janakiraman, XuanLong Nguyen, Jeff Sterniak +1
Advanced combustion technologies such as homogeneous charge compression ignition (HCCI) engines have a narrow stable operating region defined by complex control strategies such as…
Lyapunov Method Based Online Identification of Nonlinear Systems Using Extreme Learning Machines
Vijay Manikandan Janakiraman, Dennis Assanis
Extreme Learning Machine (ELM) is an emerging learning paradigm for nonlinear regression problems and has shown its effectiveness in the machine learning community. An important fe…