Development and Optimization of an Intelligent Parking Slot Allotter and Billing System Based on Machine Learning and OCR

2019 ◽  
pp. 265-276
Author(s):  
D. Bhanu Priya ◽  
Guan-Chen Chen
Keyword(s):  
Machine Learning ◽  
Billing System

scholarly journals Digital Billing and AI-based Expense Tracking System

2021 ◽  
Vol 9 (8) ◽  
pp. 2683-2688
Author(s):  
Gaurav Raj
Keyword(s):  
Machine Learning ◽  
Tracking System ◽  
Learning Model ◽  
Web Based ◽  
Billing System ◽  
Manual Intervention ◽  
Machine Learning Model

Abstract: Digital billing is the next big step towards sustainable devolvement and promotion of the idea of self-budgeting. As conventional printed paper invoices are prone to damage and being misplaced, an electronic solution would allow them to preserve and exchange invoices without manual intervention. This approach would ensure shorter payment delays, fewer errors and reduced printing costs. In this paper we present our idea of a unified web-based digital billing system for exchanging invoices between vendors and customers. Our application allows the users to manage all of their invoices at a single place and make use of our in-built machine learning model to predict trends in their sales and purchases

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Mathematics for Machine Learning

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  
Machine Learning

Phase Transitions in Machine Learning

2009 ◽  
Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols
Keyword(s):  
Machine Learning ◽  
Phase Transitions

Understanding Machine Learning

2009 ◽  
Author(s):  
Shai Shalev-Shwartz ◽  
Shai Ben-David
Keyword(s):  
Machine Learning

Using machine learning techniques to reduce data annotation time

2006 ◽  
Author(s):  
Christopher Schreiner ◽  
Kari Torkkola ◽  
Mike Gardner ◽  
Keshu Zhang
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Data Annotation ◽  
Learning Techniques
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