Event data collected by information systems as business processes execute in organizations can be used to discover or reverse engineer business process models through a technique called process mining. Process mining uses ...
There is an ongoing paradigm shift in which we consume data on the internet. This is also leading to a change in the way we can distribute data to the end users. With the advent of Content Delivery Networks (CDN), the ...
Drones have become inexpensive and can be used to survey an area of interest and send real time data to the ground control station. However, low-cost drones suffer from the constraints of limited flight time due to battery ...
Institutional digital assets are the foundation for a digital repository (IDR) to provide
services for the researchers. As the publishing of these digital assets is growing rapidly,
the efficient way of managing and ...
In this thesis, we study the legal disputes related to personal finance. We focus on the legislation Fair Debt Collection Practices Act (FDCPA), which is specially meant for protecting the consumer from illegal debt ...
The elderly population is increasing year by year and it won’t be long until they represent
a majority of the population in many countries. This trend has been further bolstered by
decreasing birth rates across the world. ...
Data analytics in libraries have been increased in fields like medicine, politics, tourism, etc. But compared to other fields, data analytics in libraries have been falling behind. Data analytics in the library has been a ...
False and deceptive news has been around for a very long time. False stories have been used to fame or defame people, destroying real facts and events, creating propaganda, and causing biases among people to create social, ...
Chatbots are one of the recently emerging technologies that have become popular and have been applied in various domains including e-business, finance, healthcare and education. In the education domain, chatbots are employed ...
An attempt to commit a crime, regardless of the outcome of the attempt, is itself a criminal
offence, particularly in the case of serious crimes. An open issue in the study of Artificial
intelligence and Law is whether ...
Math Word Problems is one of the challenges in the Natural Language Processing field. The
problem asks the solver to translate from an ambiguous language like the English language
to precise language like a mathematical ...
Amazon is the biggest e-commerce giant where buying and selling of goods is performed
online. Actually, it is like a marketplace and third-party vending service. In amazon.com
the buying and selling process of goods is ...
In this thesis, I propose a framework based on a convolutional neural network to perform
multiple object tracking. In particular, I extend the architecture of the convolutional
neural network used in YOLOv3, an object ...
Current advances in deep learning aspects of machine learning are leading to new results on computer vision tasks such as object classification, localization, semantic segmentation, and instance segmentation. Machine ...
Rice is a crop feeding more than 3 billion people across the world. Continuous improvements in farming techniques are helpful to farmers looking for high yields. This thesis reports on the development of a system to help ...
The evolution of surveillance techniques in the modern era has powered AI to develop algorithms that provide numerous opportunities to improve security and well being. Surveillance cameras monitoring a wide field of view ...
Among the most prominent problems solved by machine learning (ML) techniques is that of image classification, and the best performing ML technique for solving this problem is the application of convolutional neural networks ...
We present a SLAM system, including a post-processing pipeline intended for tree maturity monitoring applications that uses stereo cameras, an IMU, and object information as pipeline inputs. The proposed SLAM methods based ...
Autonomous mobile robot navigation is one of the important and exciting topic in present
days. Cameras can play an essential role in object detection and object avoidance. By using
latest advancements in computer vision ...
The process of splitting an image into specular and diffuse components is a
fundamental problem in computer vision, because most computer vision al-
gorithms, such as image segmentation and tracking, assume diffuse ...