Accelerated safety testing for highly automated vehicles: Application and capability comparison of surrogate models
With the gradual perfection of Highly Automated Vehicles (HAVs), it is obligatory to assess
their safety performance in simulation that mirrors the real-world driving environment …
their safety performance in simulation that mirrors the real-world driving environment …
Optimal design of transmitarray antennas via low-cost surrogate modelling
Over the recent years, reflectarrays and transmitarrays have been drawing a considerable
attention due to their attractive features, including a possibility of realizing high gain and …
attention due to their attractive features, including a possibility of realizing high gain and …
Accelerated risk assessment for highly automated vehicles: Surrogate-based monte carlo method
To validate whether Highly Automated Vehicles (HAVs) can live up to human expectations, it
is essential to estimate their risk rate within the context of the naturalistic driving …
is essential to estimate their risk rate within the context of the naturalistic driving …
A broadband asymmetric doherty power amplifier design based on multiobjective bayesian optimization: Theoretical and experimental validation
In this paper, a new multi-objective Bayesian optimization (BO) algorithm is applied to
design a broadband gallium nitride (GaN) based Doherty power amplifier (DPA). The …
design a broadband gallium nitride (GaN) based Doherty power amplifier (DPA). The …
[HTML][HTML] Temporal convolutional networks for transient simulation of high-speed channels
While the recurrent neural network (RNN) architecture has been the go-to model in transient
modeling, recently the temporal convolutional network (TCN) has been garnering more …
modeling, recently the temporal convolutional network (TCN) has been garnering more …
A constrained Bayesian Optimization framework for structural vibrations with local nonlinearities
Q Ragueneau, L Laurent, A Legay, T Larroque… - Structural and …, 2024 - Springer
In order to address stringent standards, energy efficiency objectives or also cost reduction
imperatives, the optimal design of complex industrial structures is an important concern. In …
imperatives, the optimal design of complex industrial structures is an important concern. In …
Rapid and reliable re-design of miniaturized microwave passives by means of concurrent parameter scaling and intermittent local tuning
S Koziel, A Pietrenko-Dabrowska - Scientific Reports, 2023 - nature.com
Re-design of microwave passive components for the assumed operating frequencies or
substrate parameters is an important yet a tedious process. It requires simultaneous tuning …
substrate parameters is an important yet a tedious process. It requires simultaneous tuning …
Expedited re-design of multi-band passive microwave circuits using orthogonal scaling directions and gradient-based tuning
Geometry scaling of microwave circuits is an essential but challenging task. In particular, the
employment of a given passive structure in a different application area often requires re …
employment of a given passive structure in a different application area often requires re …
Bandpass filter design using deep neural network and differential evolution algorithm
In this study, we have used a hybrid approach to design parallel-coupled microstrip
bandpass filters. It can take a long time to design a parallel-coupled microstrip bandpass …
bandpass filters. It can take a long time to design a parallel-coupled microstrip bandpass …
Low-cost and precise automated re-design of antenna structures using interleaved geometry scaling and gradient-based optimization
A Pietrenko-Dabrowska, S Koziel - Knowledge-Based Systems, 2024 - Elsevier
Abstract Design of contemporary antennas is an intricate endeavor involving multiple
stages, among others, tuning of geometry parameters. In particular, re-designing antennas …
stages, among others, tuning of geometry parameters. In particular, re-designing antennas …