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Artículo
A framework for development of integrated intelligent knowledge for management of telecommunication networks
(Elsevier, 2012)
The management of modern telecommunication networks is a complex and intensive task that requires the assimilation of vast amounts of information and knowledge management. The significance of management networks is ...
Artículo
Datacab: a geographical‐information‐system‐based expert system for the design of cable networks
(Wiley, 2008)
Telecommunication networks have evolved over time as a result of technological advances, and network topologies and equipment have become increasingly complex. Expert systems are being successfully applied to the management ...
Artículo
From Rule Based Expert System to High-Performance Data Analysis for Reduction of Non-Technical Losses on Power Grids
(IARIA, 2017)
The Non-Technical Losses represent the non-billed energy due to faults or illegal manipulations in customer facilities. The objective of the Midas project is the detection of Non-Technical Losses through the application ...
Artículo
A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms
(MDPI, 2019)
A common problem in solar farms is to predict when accumulators stop working optimally and start losing efficiency. This paper proposes and describes how to use Bayesian networks together with expert systems to predict ...
Artículo
Integrated expert system applied to the analysis of nontechnical losses in power utilities
(Elsevier, 2011)
The detection of non-technical losses (NTLs), in most papers, commonly deals with the utilization of the registered consumption for each customer; besides, some researchers used the economic activity, the active/reactive ...
Artículo
Rule-based system to detect energy efficiency anomalies in smart buildings, a data mining approach
(Elsevier, 2016)
The rapidly growing world energy use already has concerns over the exhaustion of energy resources andheavy environmental impacts. As a result of these concerns, a trend of green and smart cities has beenincreasing. To ...
Artículo
Decision system based on neural networks to optimize the energy efficiency of a petrochemical plant
(Elsevier, 2012)
The energy efficiency of industrial plants is an important issue in any type of business but particularly in the chemical industry. Not only is it important in order to reduce costs, but also it is necessary even more as ...
Artículo
A novel ECG diagnostic system for the detection of 13 different diseases
(Elsevier, 2022-01)
Manual analysis of electrocardiogram (ECG) signals is a laborious and prone-to-error task, even for a specialist with many hours of experience. For this reason, research on automatic ECG diagnosis is widespread in ...