Support vector machines (SVMs) are a supervised classifier successfully applied in a plethora of real-life applications. However, they suffer from the important shortcomings of their high time and memory training complexities, which depend on the training set size. This issue is especially challenging nowadays, since the amount of data generated every second becomes tremendously large in many domains. This review provides an extensive survey on existing methods for selecting SVM training data from large datasets. We divide the state-of-the-art techniques into several categories. They help understand the underlying ideas behind these algorithms, which may be useful in designing new methods to deal with this important problem. The review is complemented with the discussion on the future research pathways which can make SVMs easier to exploit in practice.

/pdf/selecting-training-sets-for-support-vector-machines-a-review-1z2uussw0t.pdf

Selecting training sets for support vector machines: a review

A review of the crashworthiness performance of energy absorbing composite structure within the context of materials, manufacturing and maintenance for sustainability

A survey on active noise control in the past decade–Part II: Nonlinear systems

https://dr.ntu.edu.sg/bitstream/10356/151258/2/1-s2.0-S0360132321003322-main%20%281%29.pdf

Ten questions concerning active noise control in the built environment

Multi-channel adaptive active vibration control of piezoelectric smart plate with online secondary path modelling using PZT patches

Design and implementation of multichannel global active structural acoustic control for a device casing

For successful active control with a vibrating plate it is essential to appropriately place actuators.
One of the most important criteria is to make the system controllable, so any control objectives can be
achieved.
In this paper the controllability-oriented placement of actuators is undertaken. First, a theoretical
model of a fully clamped rectangular plate is obtained. Optimization criterion based on maximization of
controllability of the system is developed. The memetic algorithm is used to find the optimal solution.
Obtained results are compared with those obtained by the evolutionary algorithm. The configuration is
also validated experimentally.

https://acoustics.ippt.pan.pl/index.php/aa/article/download/316/275

Controllability-oriented placement of actuators for active noise-vibration control of rectangular plates using a memetic algorithm

Shaping frequency response of a vibrating plate for passive and active control applications by simultaneous optimization of arrangement of additional masses and ribs. Part I: Modeling

Stanislaw Wrona

Papers

Design and implementation of multichannel global active structural acoustic control for a device casing

Controllability-oriented placement of actuators for active noise-vibration control of rectangular plates using a memetic algorithm

Shaping frequency response of a vibrating plate for passive and active control applications by simultaneous optimization of arrangement of additional masses and ribs. Part I: Modeling

Active noise control for a washing machine

Evaluation of measurement value and uncertainty of sound pressure level difference obtained by active device noise reduction