Results 21 to 30 of about 5,558,612 (273)
Sensors, 2022 The emergence of the Industrial Internet of Things (IIoT) has accelerated the adoption of Industrial Wireless Sensor Networks (IWSNs) for numerous applications.
Nouf Alharbi +2 more
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Business process optimisation using an evolutionary multi-objective framework
, 2008 In response to the increasingly volatile and competitive environment, organisations are examining how their core business processes may be redesigned in order to improve business performance and market responsiveness. However, there is a lack of holistic
Vergidis, K.
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Distribution system reconfiguration in presence of Internet of things
IET Generation, Transmission & Distribution, 2021 Network reconfiguration (NR) has undergone new changes to adapt to smart grid evolution. Internet of things (IoT) has found its way to smart grids especially in the distribution systems. Demand‐side management can be more efficient in the presence of IoT.
Moaiad Mohseni +2 more
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Junction Optimisation Technique [PDF]
The Computer Journal, 1969 where ai} > 0 is the minimum time interval which must elapse between an ordered pair of events of types i and j whether or not there are intermediate events. (5) The last requirement proves to be crucial in railway applications of the kind considered below, and marks the main point of divergence from standard transportation network theory.
openaire +2 more sources
A review of rolling system design optimisation [PDF]
, 2006 Rapid product development and efficient use of existing resources are key competitive drivers in the steel industry and it is imperative that solution strategies are capable of delivering high quality solutions at low cost.
Roy, Rajkumar, Oduguwa, Victor
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Network‐adaptive and capacity‐efficient electric vehicle charging site
IET Generation, Transmission & Distribution, 2022 The adaptive charging algorithms of today divide the available charging capacity of a charging site between the electric vehicles without knowing how much current each vehicle draws in reality.
Kalle Rauma +4 more
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Regression with the optimised combination technique [PDF]
Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006 We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least squares approach, discretised by sparse grids and solved using the so-called combination technique, where a certain sequence of conventional grids is employed. The sparse grid
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Clustering Optimisation Techniques in Mobile Networks [PDF]
CoRR, 2016 The use of mobile phones has exploded over the past years,abundantly through the introduction of smartphones and the rapidly expanding use of mobile data. This has resulted in a spiraling problem of ensuring quality of service for users of mobile networks.
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No‐reference image quality assessment based on multiscale feature representation
IET Image Processing, 2021 The no‐reference image quality assessment (NR‐IQA) method can evaluate the distortions in an image without the reference image. However, due to the diversity of the image contents and distortion types, it is hard for the existing NR‐IQA algorithms to ...
Junhui Li +3 more
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The Journal of Engineering, 2021 Audio signals typically comprise several characteristics to be improved by signal processing and in practice, each of these characteristics has a unique relationship to the controllable system parameters.
Pingfei Jiang, Mark A. Atherton
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