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Computer Science & Engineering: An International Journal, 2012 Machine learning [1] is concerned with the design and development of algorithms that allow computers to evolve intelligent behaviors based on empirical data. Weak learner is a learning algorithm with accuracy less than 50%. Adaptive Boosting (Ada-Boost) is a machine learning algorithm may be used to increase accuracy for any weak learning algorithm ...
Praveen Kumar G, Asst Prof Ramesh Babu
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Robot Path Planning using Dynamic Programming with Accelerating Nodes
Paladyn, 2012 We solve the problem of robot path planning using Dynamic Programming (DP) designed to perform well in case of a sudden path blockage. A conventional DP algorithm works well for real time scenarios only when the update frequency is high i.e.
Kala Rahul, Shukla Anupam, Tiwari Ritu
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ATLAS Technical Coordination Expert System [PDF]
EPJ Web of Conferences, 2019 When planning an intervention on a complex experiment like ATLAS, the detailed knowledge of the system under intervention and of the interconnection with all the other systems is mandatory. In order to improve the understanding of the parties involved in
Asensi Tortajada Ignacio +4 more
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BMC Cancer, 2018 Background An increasing number of studies have identified spatial differences in colorectal cancer survival. However, little is known about the spatially varying effects of predictors in survival prediction modeling studies of colorectal cancer that ...
Yu Tian +7 more
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TASK Quarterly, 2017 A Research Object (RO) is defined as a semantically rich aggregation of resources that bundles together essential information relating to experiments and investigations. This information is not limited merely to the data used and the methods employed to
MARCIN KRYSTEK +4 more
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A Belief Rule Based Expert System to Assess Tuberculosis under Uncertainty
Journal of medical systems, 2017 The primary diagnosis of Tuberculosis (TB) is usually carried out by looking at the various signs and symptoms of a patient. However, these signs and symptoms cannot be measured with 100 % certainty since they are associated with various types of ...
Mohammad Shahadat Hossain +3 more
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Vojnotehnički Glasnik, 1997 Expert systems are intelligent computer programs which use knowledge and inference procedures to solve problems. Their help in some areas is a final one, because for solving some problems a lot of intellectual effort should be made but inference ...
Miroslav Radosavljević +1 more
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Management of material recourse supply of automotive enterprises based on expert systems
RUDN Journal of Economics, 2021 The importance of managing the material recourse supply has become apparent in the modern economy as it largely determines the survival of a corporation and its success in the market, which is especially important in a crisis.
Polina A. Nechaeva
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Systematic Design of Expert System Using Unified Modelling Language
, 2018 An expert system as an expert knowledge-based information system has been widely used by interested parties to consult their problems. Therefore, an expert system should be well designed so as to meet the requirements for a software to store knowledge ...
D. S. Maylawati +2 more
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A brief history and technical review of the expert system research
, 2017 The expert system is a computer system that emulates the decision-making ability of a human expert, which aims to solve complex problems by reasoning knowledge. It is an important branch of artificial intelligence.
Haocheng Tan
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