Vadim V. Romanuke
Orcid: 0000-0003-3543-3087Affiliations:
- Polish Naval Academy, Gdynia, Poland
- Khmelnitskiy National University, Ukraine (former)
According to our database1,
Vadim V. Romanuke
authored at least 20 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Pure strategy solutions of the progressive discrete silent duel with generalized identical quadratic accuracy functions.
Discret. Appl. Math., 2024
Comput. Oper. Res., 2024
2023
Speedup of the <i>k</i>-Means Algorithm for Partitioning Large Datasets of Flat Points by a Preliminary Partition and Selecting Initial Centroids.
Appl. Comput. Syst., June, 2023
Parallelization of the Traveling Salesman Problem by Clustering its Nodes and Finding the Best Route Passing through the Centroids.
Appl. Comput. Syst., 2023
2022
Nine-Point Iterated Rectangle Dichotomy for Finding All Local Minima of Unknown Bounded Surface.
Appl. Comput. Syst., December, 2022
A Hyper-Heuristic for the Preemptive Single Machine Scheduling Problem to Minimize the Total Weighted Tardiness.
Appl. Comput. Syst., 2022
Finite uniform approximation of two-person games defined on a product of staircase-function infinite spaces.
Int. J. Approx. Reason., 2022
2021
Expert Syst. Appl., 2021
Online heuristic for the preemptive single machine scheduling problem to minimize the total weighted tardiness.
Comput. Ind. Eng., 2021
2020
A Prototype Model for Semantic Segmentation of Curvilinear Meandering Regions by Deconvolutional Neural Networks.
Appl. Comput. Syst., 2020
2019
Minimal Total Weighted Tardiness in Tight-Tardy Single Machine Preemptive Idling-Free Scheduling.
Appl. Comput. Syst., 2019
An Improvement of the VDSR Network for Single Image Super-Resolution by Truncation and Adjustment of the Learning Rate Parameters.
Appl. Comput. Syst., 2019
2018
An Efficient Technique for Size Reduction of Convolutional Neural Networks after Transfer Learning for Scene Recognition Tasks.
Appl. Comput. Syst., 2018
Smooth Non-increasing Square Spatial Extents of Filters in Convolutional Layers of CNNs for Image Classification Problems.
Appl. Comput. Syst., 2018
2017
Appropriateness of Dropout Layers and Allocation of Their 0.5 Rates across Convolutional Neural Networks for CIFAR-10, EEACL26, and NORB Datasets.
Appl. Comput. Syst., 2017
2016
Approximation of Isomorphic Infinite Two-Person Non-Cooperative Games by Variously Sampling the Players' Payoff Functions and Reshaping Payoff Matrices into Bimatrix Game.
Appl. Comput. Syst., 2016
Optimal Pixel-to-Shift Standard Deviation Ratio for Training 2-Layer Perceptron on Shifted 60 × 80 Images with Pixel Distortion in Classifying Shifting-Distorted Objects.
Appl. Comput. Syst., 2016
2013
Setting the Hidden Layer Neuron Number in Feedforward Neural Network for an Image Recognition Problem under Gaussian Noise of Distortion.
Comput. Inf. Sci., 2013