Abstract Multiple Car detection, recognition, and tracking is one of the most rapidly growing systems in image processing used for a video surveillance systems. This has been designed with an […]
Multiple Car Detection, Recognition and Tracking in Traffic Read More »
Abstract Many organizations process big data for important business operations and decisions. Hence, data quality greatly affects their success. Data quality problems continue to be widespread, costing US businesses an
Data Sentinel: A Declarative Production-Scale Data Validation Platform Read More »
Abstract The problem of finding a point inRn, from which the sum-of-distances to a finite number of non-empty, closed, and convex sets is minimum is called the generalized Fermat-Torricelli Problem
Abstract The Poppy Project aims to offer a platform accessible to beginners and experts, allowing robots to be used in multiple fields, including research and teaching. During the work with
Control Library modification to improve robot interaction with its environment Read More »
Abstract Modular reconfigurable robots are touted for their flexibility, as their bodies can assume a wide range of shapes. A particular challenge is to make them move efficiently in 3D
Abstract When deep learning models classify the actual data and outlier data, most of them do not have enough information about the outlier, which might cause misclassification. Therefore, there is
Visualization Techniques for Outlier Data Read More »
Abstract The first cases of COVID-19 were reported in China in Dec 2019, quickly spreading to other parts of the world leading to a global pandemic. A number of potential
Abstract Response to the outbreak of COVID-19, classes this semester is mainly replaced by online teaching to ensure continual learning. Teachers are actively exploring effective online teaching methods to provide
Thinking and Practice of Online Teaching under COVID-19 Epidemic Read More »
Abstract This letter studies if and to which extent COVID-19 epidemics can be controlled by authorities taking decisions on public health measures on the basis of daily reports of swab
Can the COVID-19 Epidemic Be Controlled on the Basis of Daily Test Reports? Read More »
Abstract The use of lower precision has emerged as a popular technique to optimize the compute and storage requirements of complex deep neural networks (DNNs). In the quest for lower
TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Networks Read More »
