Switzerland doi:10.4028/www.scientific.net/AMM.229-231.2775 Airline Revenue Management: Optimization Using Origin-Destination Strategy Controlled by Nested Heuristics Ajyuk J. Raj1‚ a‚ N. Ganesh Kumar2‚ b‚ S. Jayaraj3‚ c 1 M.E.‚ Department of Mechanical Engineering‚ PSG College of Technology‚ Coimbatore-641004‚ Tamil Nadu‚ India. 2 Assistant Professor‚ Department of Mechanical Engineering‚ 3 PSG College of Technology‚ Coimbatore-641004‚ Tamil Nadu‚ India. Professor‚ Department of Mechanical
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pattern recognition In machine learning‚ pattern recognition is the assignment of a label to a given input value. An example of pattern recognition is classification‚ which attempts to assign each input value to one of a given set of classes (for example‚ determine whether a given email is "spam" or "non-spam"). However‚ pattern recognition is a more general problem that encompasses other types of output as well. Other examples are regression‚ which assigns a real-valued output to each input; sequence
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RDSEmployee Recognition Program Handbook Department of Human Resource Management September 2000 DHRM 01/30/2001 TABLE OF CONTENTS INTRODUCTION............................................................................................ 2 RECOGNITION/REWARD............................................................................. 4 PROGRAM DEVELOPMENT ....................................................................... 7 KEY POINTS TO REMEMBER - ELEMENTS OF SUCCESSFUL PROGRAM
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This is the VOA Special English Technology Report. Today we take look at facial systems. These can tag friends in Facebook photos or help identify suspects in the recent riots in Britain. Kurt Roemer is security strategist for Citrix Systems in Fort Lauderdale‚ Florida. He says technology makes it easier than ever for governments to identify . KURT ROEMER: " can go through and identify‚ profile and target people‚ basically in any order. And it is very
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Prescription‚ McGraw-Hill Book Co.‚ New York‚ NY. Brudney‚ J.‚ Condrey‚ S. (1993). Pay for performance: explaining the differences in managerial motivation Cacioppe‚ R. (1999). Using team – individual reward and recognition strategies to drive Coli‚ M. (1997)‚ Strategic team reward and recognition strategies at Motorola‚ The Best of Team Conference Proceedings‚ Linkage Inc.‚ San Francisco‚ 519-605. Eade‚ D. (1996). Motivational management: Developing leadership skills. Clinician Reviews‚ 6‚ 115-125
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Fingerprint Recognition By ANJALI VATS A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Technology (ECE) HMRITM Guru Gobind Singh Indraprastha University Date: 25 JUNE 2014 Declaration I Hereby declare that all the design and implementation of the Project is my independent effort except otherwise specified. I also certify that this project have never been submitted for academic
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data) | February 1‚ 2008 | February 2‚ 2007 | February 3‚ 2006 | January 28‚ 2005 | January 30‚ 2004 | February 1‚ 2002 | January 28‚ 2000 | Results of Operations | | | | | | | | Net Revenue | 61‚133 | 57‚420 | 55‚788 | 49‚121 | 41‚327 | 31‚168 | 25‚265 | Cost of Revenue | 49‚462 | 47‚904 | 45‚897 | 40‚103 | 33‚764 | 25‚661 | 20‚047 | Gross Margin | 11‚671 | 9‚516 | 9‚891 | 9‚018 | 7‚563 | 5‚507 | 5‚218 | Gross Profit Margin | 19.1% | 16.6% | 17.7% | 18.4% | 18.3% | 17
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Members KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY DEPARTMENT OF ACCOUNTING & FINANCE NAMES: INDEX NOS. ASIAMAH BOATEMAA MERCY PG7633812 GYABAAH SOLOMON PG7637012 AMANKWAH DUFIE HELENA PG7629012 ATIASE LAWRENCE PG7632312 ABSTRACT Circumstances among others have painted CEPS as an institution that is not patriotic. This has relegated the contribution of CEPS to the background. This study is aimed at exploring
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Chapter 4 The Revenue Cycle Objectives for Chapter 4 • Tasks performed in the revenue cycle‚ regardless of the technology used • The functional departments involved in revenue cycle activities and the flow of revenue transactions through the organization • The documents‚ journals‚ and accounts that provide audit trails‚ promote the maintenance of records‚ support decision making‚ and sustain financial reporting • Risks associated with the revenue cycle and the controls that reduce these risks
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● Introduction ● Initial problem ● How to Compare Recordings ● Dependence of system’s accuracy ● Algorithm instruction ● Source Code ● Software Requirements ● Hardware Requirements ● References Introduction The project “Attendance through Voice Recognition” is a tool that can help an organization or academic institute to have attendance of their employee or students and also the faculty members.It also record the time and date at which the member is present
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