Dulani Meedeniya

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Indika PereraDept. of Computer Science and Engineering, University of MoratuwaVerified email at cse.mrt.ac.lk
Sampath JayarathnaAssociate Professor of Computer Science, Old Dominion UniversityVerified email at cs.odu.edu
Iresha Dilhani RubasingheUniversity of MoratuwaVerified email at cse.mrt.ac.lk
Charith PereraCardiff University, UKVerified email at acm.org
Vijini MallawaarachchiResearch Associate at Flinders UniversityVerified email at flinders.edu.au
Senuri De SilvaNational University of SingaporeVerified email at u.nus.edu
Sanuwani DayarathnaMonash UniversityVerified email at monash.edu
Gangani AriyarathneCollege of William & MaryVerified email at wm.edu
Anuradha WelivitaPostdoctoral Researcher, École polytechnique fédérale de LausanneVerified email at alumni.epfl.ch
Dilantha HaputhanthriLa Trobe UniversityVerified email at latrobe.edu.au
Anuradha WickramarachchiResearch Software Engineer, CSIRO, AustraliaVerified email at csiro.au
Jithmi ShashiranganaBachelor of the Science of Engineering, University of Moratuwa, Sri Lanka (Specialized in Computer Science & Engineering)Verified email at cse.mrt.ac.lk
Hashara KumarasinghePhD student at Australian National UniversityVerified email at anu.edu.au
Shammi KolonneUndergraduate, University of Moratuwa, Sri LankaVerified email at cse.mrt.ac.lk
Gunavaran BrihadiswaranNorth Carolina State UniversityVerified email at ncsu.edu
Juliana Küster Filipe BowlesProfessor, University of St AndrewsVerified email at st-andrews.ac.uk
Thisara ShyamaleeLecturer, Sri Lanka Institute of Information TechnologyVerified email at sliit.lk
Thanuja D. AmbegodaUniversity of MoratuwaVerified email at cse.mrt.ac.lk
Madhushi BandaraLecturer at University of Technology SydneyVerified email at uts.edu.au
Primesh PathiranaUniversity of MoratuwaVerified email at cse.mrt.ac.lk

Dulani Meedeniya

Professor in Computer Science and Engineering, University of Moratuwa

Verified email at cse.mrt.ac.lk - Homepage

Software Engineering Deep Learning Artificial Intelligence Health Informatics Computer Vision


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Automated License Plate Recognition: A Survey on Methods and Techniques J Shashirangana, H Padmasiri, D Meedeniya, C Perera IEEE Access, https://doi.org/10.1109/ACCESS.2020.3047929 9, 11203-11225, 2021	174	2021
An EEG based channel optimized classification approach for autism spectrum disorder D Haputhanthri, G Brihadiswaran, S Gunathilaka, D Meedeniya, ... 2019 Moratuwa Engineering Research Conference (MERCon), 123-128, 2019	79	2019
Chest X-ray Analysis Empowered with Deep Learning: A Systematic Review D Meedeniya, H Kumarasinghe, S Kolonne, C Fernando, ... Applied Soft Computing 126, 109319, 2022	65	2022
EEG-based processing and classification methodologies for Autism Spectrum Disorder: A Review G Brihadiswaran, D Haputhanthri, S Gunathilaka, D Meedeniya, ... Journal of Computer Science (JCS) 15 (08), 1161-1183, 2019	65	2019
Eye Gaze Estimation: A Survey on Deep Learning-Based Approaches P Pathirana, S Senarath, D Meedeniya, S Jayarathna Expert Systems with Applications 199 (https://doi.org/10.1016/j.eswa.2022 …, 2022	57	2022
WordNet and cosine similarity based classifier of exam questions using bloom’s taxonomy K Jayakodi, M Bandara, I Perera, D Meedeniya International Journal of Emerging Technologies in Learning (Online) 11 (4), 142, 2016	51	2016
A rule-based system for ADHD identification using eye movement data S De Silva, S Dayarathna, G Ariyarathne, D Meedeniya, S Jayarathna, ... 2019 Moratuwa Engineering Research Conference (MERCon), 538-543, 2019	45	2019
Automated License Plate Recognition for Resource-Constrained Environments H Padmasiri, J Shashirangana, D Meedeniya, O Rana, C Perera Sensors 22 (4), 1434, 2022	43	2022
Integration of Facial Thermography in EEG-based Classification of ASD D Haputhanthri, G Brihadiswaran, S Gunathilaka, D Meedeniya, ... International Journal of Automation and Computing 17 (6), 837-854, 2020	42	2020
Machine Learning Operations: A Survey on MLOps Tool Support N Hewage, D Meedeniya arXiv preprint Arxiv.2202.10169, 1-12, 2022	41	2022
Glioma survival analysis empowered with data engineering—a survey N Wijethilake, D Meedeniya, C Chitraranjan, I Perera, M Islam, H Ren Ieee Access 9, 43168-43191, 2021	40	2021
U-Net Based Chest X-ray Segmentation with Ensemble Classification for Covid-19 and Pneumonia H Kumarasinghe, S Kolonne, C Fernando, D Meedeniya International Journal of Online and Biomedical Engineering (iJOE) 18 (7 …, 2022	36	2022
Glaucoma Detection with Retinal Fundus Images Using Segmentation and Classification T Shyamalee, D Meedeniya Machine Intelligence Research, 2022	35	2022
Tool support for traceability management of software artefacts with DevOps practices S Palihawadana, CH Wijeweera, M Sanjitha, VK Liyanage, I Perera, ... 2017 Moratuwa Engineering Research Conference (MERCon), 129-134, 2017	34	2017
Deep learning: A beginners' guide D Meedeniya CRC Press, 2023	33	2023
fMRI Feature Extraction Model for ADHD Classification Using Convolutional Neural Network S De Silva, SU Dayarathna, G Ariyarathne, D Meedeniya, S Jayarathna International Journal of E-Health and Medical Communications (IJEHMC) 12 (1 …, 2021	33	2021
ADHD identification using convolutional neural network with seed-based approach for fMRI data G Ariyarathne, S De Silva, S Dayarathna, D Meedeniya, S Jayarathne proceedings of the 2020 9th international conference on software and …, 2020	33	2020
Ultrasound nerve segmentation using deep probabilistic programming I Rubasinghe, D Meedeniya Journal of ICT Research and Applications 13 (3), 241-256, 2019	32	2019
A Survey of Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological Data S De Silva, S Dayarathna, G Ariyarathne, D Meedeniya, S Jayarathna International Journal of Online and Biomedical Engineering (iJOE) 15 (13), 61-76, 2019	31	2019
Effective learning content offering in MOOCs with virtual reality-an exploratory study on learner experience. S Hewawalpita, S Herath, I Perera, D Meedeniya J. Univers. Comput. Sci. 24 (2), 129-148, 2018	31	2018

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