Rytis Maskeliunas
Rytis Maskeliunas
Honorable Verbalizer
Geverifieerd e-mailadres voor polsl.pl
Geciteerd door
Geciteerd door
Relationship between Convenience, Perceived Value, and Repurchase Intention in Online Shopping in Vietnam
QT Pham, XP Tran, S Misra, R Maskeliūnas, R Damaševičius
Sustainability 10 (1), 156, 2018
Relationship between convenience, perceived value, and repurchase intention in online shopping in Vietnam
QT Pham, XP Tran, S Misra, R Maskeliūnas, R Damaševičius
Sustainability 10 (1), 156, 2018
Consumer-grade EEG devices: are they usable for control tasks?
R Maskeliunas, R Damasevicius, I Martisius, M Vasiljevas
PeerJ 4, e1746, 2016
Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model
A Mujahid, MJ Awan, A Yasin, MA Mohammed, R Damaševičius, ...
Applied Sciences 11 (9), 4164, 2021
Detecting Parkinson’s disease with sustained phonation and speech signals using machine learning techniques
JS Almeida, PP Rebouças Filho, T Carneiro, W Wei, R Damaševičius, ...
Pattern Recognition Letters 125, 55-62, 2019
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
MA Khan, M Sharif, T Akram, R Damaševičius, R Maskeliūnas
Diagnostics 11 (5), 811, 2021
Fuzzy based image edge detection algorithm for blood vessel detection in retinal images
F Orujov, R Maskeliūnas, R Damaševičius, W Wei
Applied Soft Computing 94, 106452, 2020
Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
M Odusami, R Maskeliūnas, R Damaševičius, T Krilavičius
Diagnostics 11 (6), 1071, 2021
Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning
A Urbonas, V Raudonis, R Maskeliūnas, R Damaševičius
Applied Sciences 9 (22), 4898, 2019
Cassava disease recognition from low‐quality images using enhanced data augmentation model and deep learning
OO Abayomi‐Alli, R Damaševičius, S Misra, R Maskeliūnas
Expert Systems 38 (7), e12746, 2021
A Review of Internet of Things Technologies for Ambient Assisted Living Environments
R Maskeliūnas, R Damaševičius, S Segal
Future Internet 11 (12), 259, 2019
Anxiety Level Recognition for Virtual Reality Therapy System Using Physiological Signals
J Šalkevicius, R Damaševičius, R Maskeliunas, I Laukienė
Electronics 8 (9), 1039, 2019
Recognition of American Sign Language Gestures in a Virtual Reality Using Leap Motion
A Vaitkevičius, M Taroza, T Blažauskas, R Damaševičius, R Maskeliūnas, ...
Applied Sciences 9 (3), 445, 2019
Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
S Maqsood, R Damaševičius, R Maskeliūnas
Medicina 58 (8), 1090, 2022
Artificial Intelligence, Smart Classrooms and Online Education in the 21st Century: Implications for Human Development
AP Ikedinachi, S Misra, PA Assibong, EF Olu-Owolabi, R Maskeliūnas, ...
Journal of Cases on Information Technology (JCIT) 21 (3), 66-79, 2019
Android malware detection: A survey
M Odusami, O Abayomi-Alli, S Misra, O Shobayo, R Damasevicius, ...
Applied Informatics: First International Conference, ICAI 2018, Bogotá …, 2018
Android Malware Detection: A Survey
O Shobayo, R Damasevicius, R Maskeliunas
Applied Informatics: First International Conference, ICAI 2018, Bogotá …, 2018
A novel framework for rapid diagnosis of COVID-19 on computed tomography scans
T Akram, M Attique, S Gul, A Shahzad, M Altaf, SSR Naqvi, ...
Pattern Analysis and Applications, 1-14, 2021
Smartphone user identity verification using gait characteristics
R Damaševičius, R Maskeliūnas, A Venčkauskas, M Woźniak
Symmetry 8 (10), 100, 2016
Smartphone based intelligent indoor positioning using fuzzy logic
F Orujov, R Maskeliūnas, R Damaševičius, W Wei, Y Li
Future Generation Computer Systems 89, 335-348, 2018
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