Results 291 to 300 of about 272,480 (336)

Intelligent Automated Cure Processing of Polyimides

MRS Proceedings, 1993
AbstractAn intelligent, closed-loop expert system has been developed for the widely used high performance polyimide PMR-15. This expert system has been used for intelligent, automated sensor/model control of the fabrication of flat panels in both the autoclave and the thermal press. Panels have been made, ranging in thickness from less than 1/8 inch to
David E. Kranbuehl, Sean M. Hart, Al Loos   +2 more
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Signal Processing for Intelligent Automation

1986
In this chapter, we discuss basic principles governing signal processing in intelligent automation. These may appear to be somewhat academic, but their practical utility is considerable in ensuring effective and economical processing. The first principle concerns the nature of information and its definition; how it is provided in signals of various ...
Arthur Browne, Leonard Norton-Wayne
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Toward Automating Intelligent Information Processing.

1997
Abstract : In order to embed intelligence into automated systems, we must be able to identify basic principles upon which an intelligent information processing model can be constructed. This means that we must be able to describe the 'process' of intelligence. However, the foundations of intelligence do not exist in a tangible form.
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Intelligent automation model for BF ironmaking process

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 2004
To realize intelligent automatic control of BF ironmaking process, automation groundwork and transmission of information by net were summarized, and some mathematical models were established based on intelligent control theory, including BF ironmaking process multi-object program model, intelligent prediction model and intelligent control partial ...
null Xiangguan Liu, null Qihui Li
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Intelligent Robotic Process Automation (RPA) Development

This chapter deals with growth and deployment, changing business operations with Intelligent RPA. It brings together the traditional automation with AI, machine learning, and cognitive technologies in handling complex processes to enhance the efficiency of operations and reduce costs.
Mohit Yadav, Tanupriya Choudhury, Shivani Dhand, Xuan-Hoa Nghiem   +3 more
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Statistical natural language processing methods for intelligent process automation

2020
Nowadays, digitization is transforming the way businesses work. Recently, Artificial Intelligence (AI) techniques became an essential part of the automation of business processes: In addition to cost advantages, these techniques offer fast processing times and higher customer satisfaction rates, thus ultimately increasing sales.
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Intelligent Automation for Insurance Claims Processing

2019
The transformational effect of intelligent automation through machine learning models on insurance claim processing. Traditional manually operated workflows within claims processing are always vulnerable to inefficiency, inaccuracies, and fraudulent cases.
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Using artificial intelligence to automate remittance processing.

Healthcare financial management : journal of the Healthcare Financial Management Association, 1998
The consolidated business office of the Allegheny Health Education Research Foundation (AHERF), a large integrated healthcare system based in Pittsburgh, Pennsylvania, sought to improve its cash-related business office activities by implementing an automated remittance processing system that uses artificial intelligence.
W T, Adams, G M, Snow, P M, Helmick
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Is Robotic Process Automation Becoming Intelligent? Early Evidence of Influences of Artificial Intelligence on Robotic Process Automation

2020
Advances in Artificial Intelligence (AI) are changing the nature of work and enable the increasing automation of tasks. The trend around AI technologies has also reached Robotic Process Automation (RPA). To date, RPA is known as a software solution that performs simple and routine tasks based on clearly defined rules.
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Artificial Intelligence and Machine Learning for Intelligent Process Automation

The rapid advancement of Intelligent Process Automation (IPA) is revolutionizing industries by enhancing efficiency, scalability, and decision-making. At the heart of this transformation lies the integration of Human-in-the-Loop (HITL) systems, which enable a dynamic collaboration between human expertise and AI-driven automation.
S Srinivasan, Rahul Ghodam
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