Results 21 to 30 of about 11,261,256 (335)
A practitioner’s guide to quantum algorithms for optimisation problems [PDF]
Journal of Physics A: Mathematical and Theoretical, 2023 Quantum computing is gaining popularity across a wide range of scientific disciplines due to its potential to solve long-standing computational problems that are considered intractable with classical computers.
Benjamin C. B. Symons +4 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
The robust optimisation of metal forming processes [PDF]
, 2007 Robustness, reliability, optimisation and Finite Element simulations are of major importance\ud to improve product quality and reduce costs in the metal forming industry.
Bonte, M.H.A. +2 more
core +2 more sources
Ant colony optimisation-based radiation pattern manipulation algorithm for electronically steerable array radiator antennas [PDF]
, 2009 A new algorithm for manipulating the radiation pattern of Electronically Steerable Array Radiator Antennas is proposed. A continuous implementation of the Ant Colony Optimisation (ACO) technique calculates the optimal impedance values of reactances ...
Aelterman, Jan +3 more
core +1 more source
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
doaj +1 more source
3D UAV Trajectory and Data Collection Optimisation Via Deep Reinforcement Learning [PDF]
IEEE Transactions on Communications, 2021 Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the network performance and coverage in wireless communication. However, due to the limitation of their on- board power and flight time, it is challenging to obtain an optimal
K. Nguyen +4 more
semanticscholar +1 more source
Numerical optimisation in spot detector design [PDF]
, 1997 Spots are image details resulting from objects, the projections of which are so small that the inner structure of these objects cannot be resolved from their image.
Apperloo, W. +2 more
core +3 more sources
A review of modelling and optimisation techniques for district heating systems
International Journal of Energy Research, 2019 This article provides an extensive survey on the modelling and optimisation of district heating systems (DHSs) focused on the heat distribution network.
I. Sȃrbu +2 more
semanticscholar +1 more source
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
doaj +1 more source