• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 13 matches

• 2024
• 
  Olena Pavliuk, Myroslav Mishchuk, Mykola Medykovskyy, Rafal Cupek:
  A Two-Stage Feature Selection Method for Neural Network Predictive Models for AGV. SMARTINDUSTRY 2024: 122-137
• 2023
• 
  Olena Pavliuk, Myroslav Mishchuk, Christine Strauss:
  Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform. Algorithms 16(2): 77 (2023)
• 
  Olena Pavliuk, Halyna Kolesnyk:
  Machine-learning method for analyzing and predicting the number of hospitalizations of children during the fourth wave of the COVID-19 pandemic in the Lviv region. J. Reliab. Intell. Environ. 9(1): 17-26 (2023)
• 
  Olena Pavliuk, Mykola O. Medykovskyy, Tomasz Steclik:
  Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing. IEEE Big Data 2023: 5087-5096
• 
  Mykola O. Medykovskyy, Rafal Cupek, Olena Pavliuk, Myroslav Mishchuk:
  An approach towards AGV battery cell voltage prediction using DL and data pre-processing. CSIT 2023: 1-4
• 2022
• 
  Olena Pavliuk, Tomasz Steclik, Piotr Biernacki:
  The forecast of the AGV battery discharging via the machine learning methods. IEEE Big Data 2022: 6315-6324
• 
  Mykola Medykovskyy, Olena Pavliuk, Myroslav Mishchuk:
  Analysis of the spread of COVID-19 in Ukraine using Google Trends tools. CSIT 2022: 322-326
• 
  Olena Pavliuk, Myroslav Mishchuk:
  A novel Deep-Learning model for Human Activity Recognition based on Continuous Wavelet Transform. IDDM 2022: 236-245
• 2021
• 
  Ivan Izonin, Roman Tkachenko, Roman Pidkostelnyi, Olena Pavliuk, Viktor Khavalko, Anatoliy Batyuk:
  Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks. IDDM 2021: 223-232
• 
  Miloslav Chalupka, Kornelius Fuchs, Raphael Heinfling, Nikola Malesevic, Rory Traut, Olena Pavliuk:
  An Investigation of Traffic and Optimization Opportunities of a Passenger Service System in JFK Airport. IT&AS 2021: 77-86
• 2020
• 
  Ivan Izonin, Roman Tkachenko, Liliia Ryvak, Khrystyna Zub, Mariya Rashkevych, Olena Pavlyuk:
  Addressing Medical Diagnostics Issues: Essential Aspects of the PNN-based Approach. IDDM 2020: 209-218
• 2018
• 
  Roman Tkachenko, Ivan Izonin, Pavlo Vitynskyi, Nataliia Lotoshynska, Olena Pavlyuk:
  Development of the Non-Iterative Supervised Learning Predictor Based on the Ito Decomposition and SGTM Neural-Like Structure for Managing Medical Insurance Costs. Data 3(4): 46 (2018)
• 
  Mvkola Medykovskvi, Olena Pavliuk, Roman Sydorenko:
  Use of Machine Learning Technologys for the Electric Consumption Forecast. CSIT (1) 2018: 432-435