Too often in the real world information from multiple sources such as humans, experts, agents, or classifiers need to be integrated to provide support for a decision making system. One popular approach in machine learning ...

For decades transportation legislation actions have demonstrated the desire to plan, design and operate multi-modal surface transportation systems (National Complete Streets Coalition [NCSC], 2009). The push for multi-modal ...

Sonomyography is an emerging technique that uses ultrasound to detect muscle deformation and is being explored as a real-time alternative to surface electromyography for deriving control signals from functional activity. ...

Currently, the process of deploying machine learning models in production can leak information about the model such as model parameters. This leakage of information is problematic because it opens the door to a plethora ...

A consistent challenge to the widespread use public key cryptosystems, such as RSA, is the computational difficulty of performing arithmetic operations with large operands. There are many branches of mathematics and ...

Path planning aims at navigating a robot from an initial configuration to a goal configuration without violating various constraints. The problem of path planning is theoretically intractable (PSPACE hard), but in everyday ...

A Wireless Sensor Network (WSN) consists of spatially distributed sensor nodes which monitors environmental conditions such as temperature, humidity, sound or pressure, etc. Recently there is increasing need to design ...

In the past few years, the Progressive Design Build (PDB) delivery method began gaining traction in the construction industry. PDB projects have been shown to be successful specifically for water/wastewater and transportation ...

Deep neural networks (DNNs) are widely deployed in various cognitive applications including computer vision, speech recognition, and image processing. The surpassing accuracy and performance of deep neural networks come ...

Memory arrays occupy a very large area in chip designs; yet memory cell scaling lags significantly transistor scaling. With transistor channel lengths in the nanoscale regime, the six transistor static random access memory ...