A5018925092- Anomaly Detection Techniques and Applications
- Traffic Prediction and Management Techniques
- Air Traffic Management and Optimization
- Forecasting Techniques and Applications
- Parallel Computing and Optimization Techniques
- Stochastic Gradient Optimization Techniques
- Human-Automation Interaction and Safety
- Image and Object Detection Techniques
- Time Series Analysis and Forecasting
- Safety Warnings and Signage
- ERP Systems Implementation and Impact
- Tensor decomposition and applications
- Traffic and Road Safety
- Traffic control and management
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Data Storage Technologies
- Operations Management Techniques
- Urban and Freight Transport Logistics
- Image and Signal Denoising Methods
Mitre (United States)
2020-2021
IBM (Canada)
2015
IBM (United States)
2015
Exploitation of parallel architectures has become critical to scalable machine learning (ML). Since a wide range ML algorithms employ linear algebraic operators, GPUs with BLAS libraries are natural choice for such an exploitation. Two approaches commonly pursued: (i) developing specific GPU accelerated implementations complete algorithms; and (ii) kernels primitive operators like matrix-vector multiplication, which then used in algorithms. This paper extends the latter approach by fused...
Exploitation of parallel architectures has become critical to scalable machine learning (ML). Since a wide range ML algorithms employ linear algebraic operators, GPUs with BLAS libraries are natural choice for such an exploitation. Two approaches commonly pursued: (i) developing specific GPU accelerated implementations complete algorithms; and (ii) kernels primitive operators like matrix-vector multiplication, which then used in algorithms. This paper extends the latter approach by fused...
View Video Presentation: https://doi.org/10.2514/6.2021-2388.vid The current practice of manually processing features for high-dimensional and heterogeneous aviation data is labor-intensive, does not scale well to new problems, prone information loss, affecting the effectiveness maintainability machine learning (ML) procedures. This research explored an unsupervised method, autoencoder, extract effective problems. study variants autoencoders with aim forcing learned representations input...
Computing power, big data, and advancement of algorithms have led to a renewed interest in artificial intelligence (AI), especially deep learning (DL). The success DL largely lies on data representation because different representations can indicate degree the explanatory factors variation behind data. In last few year, most successful story is supervised learning. However, apply learning, one challenge that labels are expensive get, noisy, or only partially available. With consideration we...
The current practice of manually processing features for high-dimensional and heterogeneous aviation data is labor-intensive, does not scale well to new problems, prone information loss, affecting the effectiveness maintainability machine learning (ML) procedures. This research explored an unsupervised method, autoencoder, extract effective problems. study variants autoencoders with aim forcing learned representations input assume useful properties. A flight track anomaly detection...
Computing power, big data, and advancement of algorithms have led to a renewed interest in artificial intelligence (AI), especially deep learning (DL). The success DL largely lies on data representation because different representations can indicate degree the explanatory factors variation behind data. In last few year, most successful story is supervised learning. However, apply learning, one challenge that labels are expensive get, noisy, or only partially available. With consideration we...
Logs of vehicle controller area network (CAN) bus traffic supplemented by accelerometer and GPS data can provide valuable information about the use operation advanced driver assistance systems (ADAS) to broader safety research community. Although CAN message codes are often manufacturer-specific, third-party libraries partial decoding messages from many models, which be augmented reverse-engineering additional signals. This study explored value bus, accelerometer, that were logged on a...