Results 11 to 20 of about 2,587,225 (266)

An innovative industrial control system architecture for real‐time response, fault‐tolerant operation and seamless plant integration

open access: yesThe Journal of Engineering, 2021
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
doaj   +1 more source

An Architectural Multi-Agent System for a Pavement Monitoring System with Pothole Recognition in UAV Images

open access: yesSensors, 2020
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
doaj   +1 more source

A Multi-Agent System for Data Fusion Techniques Applied to the Internet of Things Enabling Physical Rehabilitation Monitoring

open access: yesApplied Sciences, 2020
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
doaj   +1 more source

Radiobiological Optimization in Lung Stereotactic Body Radiation Therapy: Are We Ready to Apply Radiobiological Models?

open access: yesFrontiers in Oncology, 2018
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
doaj   +1 more source

Expert supervision of conventional control systems [PDF]

open access: yes, 1996
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
core   +1 more source

Multi-Agent Recommendation System for Electrical Energy Optimization and Cost Saving in Smart Homes

open access: yesEnergies, 2019
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
doaj   +1 more source

Investigating the Sustainability Improvement of Municipal Wastewater Treatment Plants using the eco-Efficiency Index: Case Study Mashhad [PDF]

open access: yesآب و فاضلاب, 2020
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
doaj   +1 more source

Maize Expert System [PDF]

open access: yesComputer 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
openaire   +2 more sources

Expert systems and robotics [PDF]

open access: yesJournal of Research of the National Bureau of Standards, 1988
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
openaire   +1 more source

Implementation of Hardware-Based Expert Systems and Comparison of Their Performance to Software-Based Expert Systems

open access: yesMachines, 2021
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
doaj   +1 more source

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