A genetic algorithm is employed as optimization method which utilizes reproduction, crossover and mutation operators.
This paper presents a novel signal processing method which utilizes the wavelets theory.
In this paper, we propose a method which utilizes RNN and Deep Neural Network (DNN) to learn the face shape.
To overcome the limitations of unsupervised and supervised methods, we propose a new method, which utilizes the class labels to a less important role so as to perform class discovery and classification simultaneously.
In this work, we develop a thermodynamically informed analysis method which utilizes basis spectra – ideal spectra of the polymer chain conformers comprising the measured Raman spectrum.
This paper therefore proposes a new HT-based line recognition method, which utilizes both the HT parameter space and the image space.
Then, a new calibration method which utilizes the imaging characteristic of equidistant collinear feature points is proposed to calibrate the model.
In this paper, a method which utilizes a variable height for towers is introduced to reduce the structural design wind loads.
For this, we proposed the CESM (Cost Efficient Scheduling Method) method, which utilizes the weighted random schedule policy to assign the devices to the tasks, to reduce the competition of the task on the efficient low-cost devices.
The method, which utilizes interpolated response surfaces generated by finite element modeling, extends the range of techniques that can be employed in the design phase to predict thermal fatigue of solder joints under field temperature conditions.
Among them, a simple method, which utilizes the unidirectional conduction characteristic of a diode has been proven to be distinct for power saving and performance keeping by the silicon data.
