Login / Signup
Vadim V. Romanuke
ORCID
Publication Activity (10 Years)
Years Active: 2013-2023
Publications (10 Years): 16
Top Topics
Weighted Tardiness
Single Machine
Traveling Salesman
Convolutional Neural Networks
Top Venues
Appl. Comput. Syst.
Int. J. Approx. Reason.
Comput. Ind. Eng.
Expert Syst. Appl.
</>
Publications
</>
Vadim V. Romanuke
Parallelization of the Traveling Salesman Problem by Clustering its Nodes and Finding the Best Route Passing through the Centroids.
Appl. Comput. Syst.
28 (2) (2023)
Vadim V. Romanuke
-Means Algorithm for Partitioning Large Datasets of Flat Points by a Preliminary Partition and Selecting Initial Centroids.
Appl. Comput. Syst.
28 (1) (2023)
Vadim V. Romanuke
A Hyper-Heuristic for the Preemptive Single Machine Scheduling Problem to Minimize the Total Weighted Tardiness.
Appl. Comput. Syst.
27 (1) (2022)
Vadim V. Romanuke
Finite uniform approximation of two-person games defined on a product of staircase-function infinite spaces.
Int. J. Approx. Reason.
145 (2022)
Vadim V. Romanuke
Nine-Point Iterated Rectangle Dichotomy for Finding All Local Minima of Unknown Bounded Surface.
Appl. Comput. Syst.
27 (2) (2022)
Vadim V. Romanuke
Time Series Smoothing Improving Forecasting.
Appl. Comput. Syst.
26 (1) (2021)
Boris Goldengorin
,
Vadim V. Romanuke
Online heuristic for the preemptive single machine scheduling problem to minimize the total weighted tardiness.
Comput. Ind. Eng.
155 (2021)
Boris Goldengorin
,
Vadim V. Romanuke
Experimental analysis of tardiness in preemptive single machine scheduling.
Expert Syst. Appl.
186 (2021)
Vadim V. Romanuke
A Prototype Model for Semantic Segmentation of Curvilinear Meandering Regions by Deconvolutional Neural Networks.
Appl. Comput. Syst.
25 (1) (2020)
Vadim V. Romanuke
An Improvement of the VDSR Network for Single Image Super-Resolution by Truncation and Adjustment of the Learning Rate Parameters.
Appl. Comput. Syst.
24 (1) (2019)
Vadim V. Romanuke
Minimal Total Weighted Tardiness in Tight-Tardy Single Machine Preemptive Idling-Free Scheduling.
Appl. Comput. Syst.
24 (2) (2019)
Vadim V. Romanuke
An Efficient Technique for Size Reduction of Convolutional Neural Networks after Transfer Learning for Scene Recognition Tasks.
Appl. Comput. Syst.
23 (2) (2018)
Vadim V. Romanuke
Smooth Non-increasing Square Spatial Extents of Filters in Convolutional Layers of CNNs for Image Classification Problems.
Appl. Comput. Syst.
23 (1) (2018)
Vadim V. Romanuke
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.
22 (1) (2017)
Vadim V. Romanuke
,
Vladimir V. Kamburg
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.
20 (1) (2016)
Vadim V. Romanuke
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.
19 (1) (2016)
Vadim V. Romanuke
Setting the Hidden Layer Neuron Number in Feedforward Neural Network for an Image Recognition Problem under Gaussian Noise of Distortion.
Comput. Inf. Sci.
6 (2) (2013)