Results 11 to 20 of about 2,587,225 (266)
Large‐scale infrastructure and industrial projects face schedule delays, cost overruns and performance shortfalls. One cause is the late delivery of their control systems that end up being complex and unsuited.
Marios Kalyvas MEng, PhD, CEng, MIEEE, MIET
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In recent years, maintenance work on public transport routes has drastically decreased in many countries due to difficult economic situations. The various studies that have been conducted by groups of drivers and groups related to road safety concluded ...
Luís Augusto Silva+4 more
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There are more than 800 million people in the world with chronic diseases. Many of these people do not have easy access to healthcare facilities for recovery. Telerehabilitation seeks to provide a solution to this problem.
Héctor Sánchez San Blas+4 more
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Lung tumors are often associated with a poor prognosis although different schedules and treatment modalities have been extensively tested in the clinical practice.
Marco D’Andrea+7 more
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Expert supervision of conventional control systems [PDF]
The objective of this paper is to outline a general concept for the design of supervising fuzzy controllers to back up or monitor a conventzonal control system.
Bordeneuve-Guibé, Joël+3 more
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Multi-Agent Recommendation System for Electrical Energy Optimization and Cost Saving in Smart Homes
The European Union Establishes that for the next few years, a cleaner and more efficient energy system should be used. In order to achieve this, this work proposes an energy optimization method that facilitates the achievement of these objectives ...
Diego M. Jiménez-Bravo+4 more
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Investigating the Sustainability Improvement of Municipal Wastewater Treatment Plants using the eco-Efficiency Index: Case Study Mashhad [PDF]
Wastewater treatment plants require the use of materials and energy, manpower, and initial investment to carry out the treatment and disposal of contaminants.
Sadegh Alizadeh+4 more
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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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Expert systems and robotics [PDF]
In the early sixties, AI researchers attempted to simulate the complicated process of thinking by finding general methods for solving broad classes of problems. This proved too difficult and such attempts failed. In the early seventies the problem was reformulated to include careful attention to data structures but the emphasis was still on general ...
John C. Marshall, Thomas L. Isenhour
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Expert systems are a form of highly understandable artificial intelligence that allow humans to trace the decision-making processes that are used.
Noah Ritter, Jeremy Straub
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