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Expert system
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deepak kumar
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Asli Yazagan
This presentation briefly discusses about Expert System in Artificial Intelligence
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this presentation provides an introduction to the expert systems.
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sadeenedian08
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Presentation on Expert System includes what is ES, how it works, its advantages and limitations.
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maryam shaikh
Expert system, architecture, mycin, dart, xoon
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mail me if you want 9905499058
Expert system
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This presentation briefly discusses about Expert System in Artificial Intelligence
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this presentation provides an introduction to the expert systems.
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sadeenedian08
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premdeshmane
Presentation on Expert System includes what is ES, how it works, its advantages and limitations.
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osmancikk
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please rate my expert systems
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ramaslide
An expert system is an interactive computer-based decision tool that uses both facts and heuristics to solve difficult decision problems based on knowledge acquired from an expert.
Expert system in computer
Expert system in computer
kiran paul
Topic 8 expert system
Topic 8 expert system
Noreliana Md Sharif
In this slides, you can find the basics of expert systems in the field of artificial intelligence. These slides are organized from different sources.
Lecture 6 expert systems
Lecture 6 expert systems
Vajira Thambawita
Design is a field in which a large part of the processes involved is knowledge-based rather than computation-based. Much of this knowledge is experiential and as such lends itself to be encapsulated in an expert system. An analogy is made between analysis and interpretation and between evaluation and comparison of interpretations. Three examples of expert systems carrying out design analysis and evaluation in different domains are described. It is argued that a graphical interface and a model of the elements within the domain are essential parts of any design system.
Application of Expert Systems inSystem Analysis & Design
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faiza nahin
a presentation about an exper system in management information system (mis)
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Artificial Intelligence lecture notes. AI summarized notes for expert systems, inference mechanisms and so on, this is reading and may be for self-learning, I think.
Lec 4 expert systems
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Eyob Sisay
This presentation educates you about AI - Components and Acquisition of Expert Systems and those are Knowledge Base, Knowledge Base and User Interface, AI - Expert Systems Limitation. For more topics stay tuned with Learnbay.
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What are expert systems? Expert systems tools Expert systems major components Structure of expert systems When to use expert systems Benefits of expert systems Applications of expert systems
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Goal stack planning
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This presentation contains information about the AI reasoning in uncertain situations. It also includes discussion regarding the types of uncertainty, predicate logic, non-monotonic logic, truth maintenance system and reasoning with fuzzy sets.
Artificial Intelligence - Reasoning in Uncertain Situations
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Laguna State Polytechnic University
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In this slides, you can find the basics of expert systems in the field of artificial intelligence. These slides are organized from different sources.
Lecture 6 expert systems
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Design is a field in which a large part of the processes involved is knowledge-based rather than computation-based. Much of this knowledge is experiential and as such lends itself to be encapsulated in an expert system. An analogy is made between analysis and interpretation and between evaluation and comparison of interpretations. Three examples of expert systems carrying out design analysis and evaluation in different domains are described. It is argued that a graphical interface and a model of the elements within the domain are essential parts of any design system.
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FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams. We connect Students who have an understanding of course material with Students who need help. Benefits:- # Students can catch up on notes they missed because of an absence. # Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand # Students can earn better grades, save time and study effectively Our Vision & Mission – Simplifying Students Life Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.” Like Us - https://www.facebook.com/FellowBuddycom
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Comparison of main players AP: Apple A10 with inFO vs. Qualcomm Snapdragon 820 with MCeP packaging technology vs. HiSilicon Kirin 955 & Samsung Exynos 8 with standard Package-on-Package Five major players are sharing the smartphone application processors (AP) market. Among them, Qualcomm, Apple, Samsung and HiSilicon propose the most powerful AP. They use almost the same technology node for the die, and the innovation is now at the packaging level. During this year, we observed different technologies inside the four main smartphone flagships: classic Package-on-Package (PoP) developed by Amkor for the Kirin 955 and for the Exynos 8, Molded Core Embedded Package (MCeP) technology developed by Shinko for the Snapdragon 820 and integrated Fan-Out packaging (inFO) developed by TSMC for the A10. Located under the DRAM chip on the main board, the AP are packaged using PoP technology. The Apple A10 can be found in the iPhone 7 series. The HiSilicon Kirin 955 can be found in the Huawei P9 and the Samsung Exynos 8 as the Qualcomm Snapdragon 820 can be found in the Samsung Galaxy S7 series depending on the world version (US and Asia for the Snapdragon and International for the Exynos). In this report, we highlight the differences and the innovations of the packages chosen by the end-user OEMs. Whereas some AP providers like for HiSilicon or Samsung choose to consider conventional PoP with embedded land-side capacitor (LSC), others like Apple or Qualcomm use innovative technologies like Fan-Out PoP and silicon based Deep Trench LSC or embedded die packaging with advanced PCB substrate. The detailed comparison between the four players will give the pros and the cons of the packaging technologies. This report also compares the costs of the different approaches and includes a detailed technical comparison between the packaging structure of the Qualcomm Snapdragon 820, the Samsung Exynos 8, the HiSilicon Kirin 955 and the Apple A10. More information on: http://www.i-micronews.com/reports.html
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Softvative presentation on SharePoint on-premise Office 365 and Hybrid - Pros, Cons and Comparison covers more than 10 aspects of the three environment for intelligent decision making. By: Faisal Masood - PMP, MCITP, MCTS Sharepoint, MS Project Server EPM / PPM Consultant Softvative Inc
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Needs presenter notes to make sense. (Available through download)
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university of education,Lahore
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It gives an individual a general Idea about Expert System and the wide variety of it's Applications.We discuss the scope of Expert System in upcoming Future in various Domains and various Challenges.Some examples are also given of a few Expert Systems.
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expertsystem.pptx email
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ABSTRACT: ES (expert system) is a branch of the field of artificial intelligence ,which is the most important and the most active. It is a kind of computer intelligent system with a large number of special knowledge. It is provide d knowledge and experience by one or more experts in some fields. This expert system simulates the decision-making process of human expert through deductive reasoning and judgment. Through the investigation of several large hospitals, there is not an expert system for clinical application. The general medical diagnosis expert system knowledge base is based on the parameters of vital signs, The accuracy of medical diagnosis is very difficult to improve. When the facial expression was embedded in the construction of knowledge base, whole system is closer to the process of clinical diagnosis. The result shows that this method achieves higher diagnosis accuracy rate. The reasoning process of the system mainly includes two parts : Firstly through the video and digital image processing technology to get facial features, the inference as before; Secondly, the inference in the previous step is associated with the physiological parameters from the database and make the final diagnosis result.
Research on Multidimensional Expert System Based on Facial Expression And Phy...
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Expert System - Artificial intelligence
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Our modern world comprising of abundant chronic diseases which are affecting humankind, awful thing is that they affect the people without being notified until the end. In this project we proposed a system in which the user identifies the disease by providing the symptoms which he is experiencing. The user selects the multiple symptoms which he/she is suffering and submits them for evaluation using String Matching System. The database consists of limited number of diseases, with well organized pattern structure of symptoms. Using a friendly interface, user can input the data in the questionnaire form developed. Artificial Bee Colony Optimization [ABC] algorithm, i.e., a Machine Learning algorithm embedded in the project provides an optimistic disease along with its prevention and curing methods, but before ABC produces optimistic disease, String Matching System approach gives an accurate disease with which the human is suffering from. The above said data transformed into web can be considered as an offline browsing system which can be used by any educated personalities, to generally know what is happening and gets enough idea before visiting the practitioner.
Plug In Generator To Produce Variant Outputs For Unique Data.
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The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
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Mehran University Newsletter Vol-X, Issue-I, 2024
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