متابعة
Teerath Kumar
Teerath Kumar
Doctoral Researcher at Adapt Centre and CRT-AI, Dublin City University, Ireland
بريد إلكتروني تم التحقق منه على mail.dcu.ie - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection
AM Roy, J Bhaduri, T Kumar, K Raj
Ecological Informatics 75, 101919, 2023
1792023
SQL and NoSQL database software architecture performance analysis and assessments—a systematic literature review
W Khan, T Kumar, C Zhang, K Raj, AM Roy, B Luo
Big Data and Cognitive Computing 7 (2), 97, 2023
1102023
Deep learning-based cost-effective and responsive robot for autism treatment
A Singh, K Raj, T Kumar, S Verma, AM Roy
Drones 7 (2), 81, 2023
1002023
Image data augmentation approaches: A comprehensive survey and future directions
T Kumar, R Brennan, A Mileo, M Bendechache
IEEE Access, 2024
77*2024
Introducing urdu digits dataset with demonstration of an efficient and robust noisy decoder-based pseudo example generator
W Khan, K Raj, T Kumar, AM Roy, B Luo
Symmetry 14 (10), 1976, 2022
642022
Precise single-stage detector
A Chandio, G Gui, T Kumar, I Ullah, R Ranjbarzadeh, AM Roy, A Hussain, ...
arXiv preprint arXiv:2210.04252, 2022
582022
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
R Ranjbarzadeh, S Jafarzadeh Ghoushchi, N Tataei Sarshar, ...
Artificial Intelligence Review 56 (9), 10099-10136, 2023
572023
AUDD: audio Urdu digits dataset for automatic audio Urdu digit recognition
A Chandio, Y Shen, M Bendechache, I Inayat, T Kumar
Applied Sciences 11 (19), 8842, 2021
522021
Investigating multi-feature selection and ensembling for audio classification
M Turab, T Kumar, M Bendechache, T Saber
International Journal of Artificial Intelligence & Applications, 2022
492022
Binary-classifiers-enabled filters for semi-supervised learning
T Kumar, J Park, MS Ali, AFMS Uddin, JH Ko, SH Bae
IEEE Access 9, 167663-167673, 2021
382021
Understanding EEG signals for subject-wise definition of armoni activities
K Raj, A Singh, A Mandal, T Kumar, AM Roy
arXiv preprint arXiv:2301.00948, 2023
352023
Random data augmentation based enhancement: a generalized enhancement approach for medical datasets
S Aleem, T Kumar, S Little, M Bendechache, R Brennan, K McGuinness
24th Irish Machine Vision and Image Processing (IMVIP) Conference, 2022
302022
Intra-Class Random Erasing (ICRE) augmentation for audio classification
T Kumar, J Park, SH Bae
Proceedings Of The Korean Society Of Broadcast Engineers Conference, 244-247, 2020
272020
Class Specific Autoencoders Enhance Sample Diversity
SH Baea
Journal of Broadcast Engineering 26 (7), 2021
242021
A computer vision-based object localization model for endangered wildlife detection
AM Roy, J Bhaduri, T Kumar, K Raj
Ecological Economics, Forthcoming, 2022
202022
Search for optimal data augmentation policy for environmental sound classification with deep neural networks
J Park, T Kumar, SH Bae
Journal Of Broadcast Engineering 25 (6), 854-860, 2020
202020
FORGED CHARACTER DETECTION DATASETS: PASSPORTS, DRIVING LICENCES AND VISA STICKERS
T Kumar, M Turab, S Talpur, R Brennan, M Bendechache
International Journal of Artificial Intelligence & Applications, 0
18*
Cardiacnet: A neural networks based heartbeat classifications using ecg signals
R Vavekanand, K Sam, S Kumar, T Kumar
Studies in Medical and Health Sciences 1 (2), 1-17, 2024
152024
Investigating multi-feature selection and ensembling for audio classification. arXiv 2022
M Turab, T Kumar, M Bendechache, T Saber
arXiv preprint arXiv:2206.07511, 0
13
AudRandAug: Random Image Augmentations for Audio Classification
T Kumar, M Turab, A Mileo, M Bendechache, T Saber
arXiv preprint arXiv:2309.04762, 2023
112023
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مقالات 1–20