- 2022
- Michal Choras, Ryszard S. Choras, Marek Kurzynski, Pawel Trajdos, Jerzy Pejas, Tomasz Hyla:
Progress in Image Processing, Pattern Recognition and Communication Systems - Proceedings of the Conference (CORES, IP&C, ACS), Virtual Event / Bydgoszcz, Poland, June 28-30, 2021. Lecture Notes in Networks and Systems 255, Springer 2022, ISBN 978-3-030-81522-6 [contents] - 2021
- Yu Agusa, Keiichi Endo, Hisayasu Kuroda, Shinya Kobayashi:
Examination of Water Temperature Interpolation Method for Prediction. CORES/IP&C/ACS 2021: 339-350 - Lukasz Apiecionek:
Defuzzification Method Comparison in Real Data Packets Control Method for Network Protection. CORES/IP&C/ACS 2021: 276-283 - Leszek J. Chmielewski, Mariusz Nieniewski, Arkadiusz Orlowski:
Can Color Visual Cryptography Be Truly Random? CORES/IP&C/ACS 2021: 72-86 - Lukasz Chmielowski, Michal Kucharzak:
Impact of Software Bug Report Preprocessing and Vectorization on Bug Assignment Accuracy. CORES/IP&C/ACS 2021: 153-162 - Mariusz Flasinski, Janusz Jurek, Tomasz Peszek:
Hybrid Learning Model for Syntactic Pattern Recognition. CORES/IP&C/ACS 2021: 14-22 - Larysa S. Globa, Rina Novogrudska, Maryna Popova, Bohdan Zadoienko, Junfeng Yu:
Ontology-Driven Approach to Research and Educational Organization Information Representation. CORES/IP&C/ACS 2021: 318-329 - Mateusz Gruzewski, Marek Palkowski:
Implementation of Nussinov's RNA Folding Using the Kokkos Library. CORES/IP&C/ACS 2021: 310-317 - Piotr Kiedrowski, Lukasz Zabludowski, Beata Marciniak:
Smart Meters Reading Process Improvement by UAV Utilization. CORES/IP&C/ACS 2021: 267-275 - Jakub Klikowski, Robert Burduk:
Distance Metrics in Clustering and Weighted Scoring Algorithm. CORES/IP&C/ACS 2021: 23-33 - Mikolaj Komisarek, Marek Pawlicki, Piotr Sobonski, Aleksandra Pawlicka, Rafal Kozik, Michal Choras:
Extending Machine Learning-Based Intrusion Detection with the Imputation Method. CORES/IP&C/ACS 2021: 284-292 - Jacek Krupski, Damian Rybicki, Waldemar Graniszewski, Marcin Iwanowski:
Deep Learning vs. Traditional Approaches to Malware Traffic Classification - A Comparative Study. CORES/IP&C/ACS 2021: 201-209 - Marcin Kuchczynski, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras:
Using Machine Learning to Detect the Signs of Radicalization and Hate Speech on Twitter. CORES/IP&C/ACS 2021: 210-218 - Przemyslaw Kudlacik, Tomasz Orczyk:
Fuzzy System for Lip Print Identification. CORES/IP&C/ACS 2021: 97-106 - Julia Lasek:
The Impact of Data Preprocessing on the Accuracy of CNN-Based Heart Segmentation. CORES/IP&C/ACS 2021: 173-180 - Jagoda Lebska, Barbara Obuchowicz, Rafal Obuchowicz, Adam Piórkowski:
Comparison of the Effects of Different Preprocessing Methods on Homogeneity Assessment of Digital Intraoral Radiographs of Root Canal Fillings. CORES/IP&C/ACS 2021: 145-152 - Andriy Luntovskyy, Tenshi Hara:
Green IT: Energy Efficient Constructions and Applications for Data Centers and Clusters. CORES/IP&C/ACS 2021: 295-309 - Patrycja Mazur:
The Influence of Bit-Depth Reduction on Correlation of Texture Features with a Patient's Age. CORES/IP&C/ACS 2021: 191-198 - Hubert Michalak, Robert Krupinski, Piotr Lech, Krzysztof Okarma:
Preprocessing of Document Images Based on the GGD and GMM for Binarization of Degraded Ancient Papyri Images. CORES/IP&C/ACS 2021: 116-124 - Deepanjan Mitra, Agostino Cortesi, Nabendu Chaki:
ALEA: An Anonymous Leader Election Algorithm for Synchronous Distributed Systems. CORES/IP&C/ACS 2021: 46-58 - Lukasz Nowak, Michal Panek, Ireneusz Jablonski:
Clutter-Type Classification of the Telco BTS Units with the Use of Limited Input Information. CORES/IP&C/ACS 2021: 219-229 - Adam Nowosielski, Patryk Krasa:
Gyroscope-Based Remote Text Entry Interface. CORES/IP&C/ACS 2021: 135-144 - Takuya Ogawa, Keiichi Endo, Hisayasu Kuroda, Shinya Kobayashi:
Analogy of the Degree of Interest in a News Article by Gaze Information. CORES/IP&C/ACS 2021: 330-338 - Krzysztof Okarma, Mateusz Kopytek:
Application of Image Entropy Analysis for the Quality Assessment of Stitched Images. CORES/IP&C/ACS 2021: 125-132 - Rafal Potempa, Sebastian Porebski:
Comparing Concepts of Quantum and Classical Neural Network Models for Image Classification Task. CORES/IP&C/ACS 2021: 61-71 - Dominika Przewlocka-Rus, Marcin Kowalczyk, Tomasz Kryjak:
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier. CORES/IP&C/ACS 2021: 34-45 - Jurii Ryabinin, Oleg Finko:
Some Principles of Building Steganographic Communication Networks. CORES/IP&C/ACS 2021: 240-251 - Moises Silva, Manuel Graña:
On Machine Learning for Autism Prediction from Functional Connectivity. CORES/IP&C/ACS 2021: 163-172 - Andrzej Sluzek:
Description-Based Ranking of Visual Instances: Feasibility Study for Keypoints. CORES/IP&C/ACS 2021: 87-96 - Sylwia Stachowiak, Miroslaw Kurkowski, Artur Sobon:
SAT-Based Cryptanalysis of Salsa20 Cipher. CORES/IP&C/ACS 2021: 252-266