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• 2016

  A smart fusion framework for multimodal object, activity and event detection

  CHETTY, G. & Yamin, M., 2016, Proceedings of the 10th INDIACom; 2016 3rd International Conference on Computing for Sustainable Global Development, INDIACom 2016. Hoda, M. N. (ed.). New Delhi, India: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1417-1422 6 p. 7724498. (Proceedings of the 10th INDIACom; 2016 3rd International Conference on Computing for Sustainable Global Development, INDIACom 2016).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Object detection
  • Decision support systems
  • Fusion reactions
  • Wearable technology
  • detection

• Automated visibility map of the internal colon surface from colonoscopy video

  ARMIN, A., CHETTY, G., De Visser, H., Dumas, C., Grimpen, F. & salvado, O., 1 Sep 2016, In: International Journal of Computer Assisted Radiology and Surgery. 11, 9, p. 1599-1610 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Colonoscopy
  • Visibility
  • Colon
  • Colonoscopes
  • Cameras
  6 Citations (Scopus)

• Body sensor networks for human activity recognition

  CHETTY, G. & White, M., 2016, Proceedings Signal Processing and Information Networks (SPIN 2016). Dutta, M. K. & Banerjee, J. K. R. P. (eds.). United States of America: IEEE, Institute of Electrical and Electronics Engineers, p. 660-665 6 p. 7566779. (3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Body sensor networks
  • Monitoring
  • Sensors
  • eHealth
  • Information theory
  16 Citations (Scopus)

• Investigation into Interoperability in Cloud Computing: An Architectural Model

  Sutherland, S. & Chetty, G., Mar 2016, In: Journal of Computers. 11, 2, p. 159-168 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Interoperability
  • Cloud computing
  • Industry

• Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features

  ARMIN, A., CHETTY, G., Fripp, J., De Visser, H., Dumas, C., Fazlollahi, A., Grimpen, F. & salvado, O., 2016, Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015. Luo, X., Reichl, T., Reiter, A. & Mariottini, G-L. (eds.). Munich, Germany: Springer, Vol. 9515. p. 153-162 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9515).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Color
  • Motion
  • Cameras
  • Navigation
  • Camera
  6 Citations (Scopus)
• 2018

  A Virtual Sensor Network Framework for Vehicle Quality Evaluation

  ALWADI, MD., CHETTY, G. & YAMIN, M., 15 Mar 2018, 12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development. Hoda, M. V. (ed.). New Delhi, India: BVICAM, p. 1416-1420 5 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Sensor networks
  • Data Science
  • Supply chains
  • Machine learning

• Biomedical Named Entity Recognition Based on Hybrid Multistage CNN-RNN Learner

  Phan, R., Luu, T. M., Davey, R. & Chetty, G., 3 Dec 2018, Proceedings International Conference on Machine Learning and Data Engineering (iCMLDE 2018). Rhee, P. K., Howard, D. & Bashar, R. (eds.). NJ, United States: IEEE, Institute of Electrical and Electronics Engineers, p. 128-135 8 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • RNA
  • DNA
  • Proteins
  • Datasets
  • Cell Line

• Cardiovascular Risk Prediction Based on XGBoost

  Rajliwall, N. S., Davey, R. & Chetty, G., 10 Dec 2018, Proceedings: 2018 5th Asia-Pacific World Congress on Computer Science and Engineering : APWConCSE 2018 . Ali, A. B. M. S., Miah, S. & Valluri, M. R. (eds.). Danvers, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 246-252 7 p. 8853798. (Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Datasets
  • Machine Learning
  • Nutrition Surveys
  • Health Policy
  • Disease Management
  1 Citation (Scopus)

• Clinical Name Entity Recognition Based on Recurrent Neural Networks

  LUU, T. M., PHAN, R., DAVEY, R. & CHETTY, G., 2 Jul 2018, Proceedings of the 2018 18th International Conference on Computational Science and Its Applications, ICCSA 2018. Taniar, D., Tarantino, E., Misra, B. M. S., Gervasi, O., Torre, C. M., Ryu, Y., Stankova, E., Rocha, A. M. A. C. & Apduhan, B. O. (eds.). Melbourne, VIC, Australia: IEEE, Institute of Electrical and Electronics Engineers, p. 1-9 9 p. 8439147

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Recurrent neural networks
  • Nursing
  • Deep learning
  • Network architecture
  • Machine learning
  1 Citation (Scopus)

• Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization

  SINGH, L., Kaur, N. & CHETTY, G., 8 Jul 2018, Proceedings 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil, Brazil: IEEE, Institute of Electrical and Electronics Engineers, p. 1527-1534 8 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Marketing
  • Taxonomies
  • Profitability
  • Mathematical models

• Deep Learning Based Biomedical NER Framework

  Phan, R., Luu, T. M., Davey, R. & Chetty, G., 18 Nov 2018, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). Bangalore, India: IEEE, Institute of Electrical and Electronics Engineers, p. 33-40 8 p. 8628740. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
  1 Citation (Scopus)

• Deep neural models for chronic disease status detection in free text clinical records

  Rajput, K., Chetty, G. & Davey, R., 17 Nov 2018, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Yu, J., Li, Z., Tong, H. & Zhu, F. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 864-869 6 p. 8637453. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2018-November).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Deep learning
  2 Citations (Scopus)

• Impact Rating Scales on Recommender System and Using Deep Learning and Neural Network Models to Improve Rating Prediction

  Almaghrabi, M. & Chetty, G., 1 Dec 2018, Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018: APWConCSE 2018 . Ali, A. B. M. S., Miah, S. & Rao Valluri, M. (eds.). Danvers, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 207-213 7 p. 8853658. (Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Deep Learning
  • Metaphor
  • Neural Networks (Computer)
  • Deep learning
  • Recommender systems

• Lifting Wavelet Transform based Fast Watermarking of Video Summaries using Extreme Learning Machine

  Mishra, A., Agarwal, C. & CHETTY, G., 8 Jul 2018, Proceedings 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil: IEEE, Institute of Electrical and Electronics Engineers, p. 1-7 7 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Watermarking
  • Wavelet transforms
  • Machine learning
  • Feedforward neural networks
  • Signal processing
  1 Citation (Scopus)

• Machine learning based models for cardiovascular risk prediction

  Rajliwall, N. S., Davey, R. & Chetty, G., 2018, Proceedings International Conference on Machine Learning and Data Engineering (iCMLDE 2018). Rhee, P. K., Howard, D. & Bashar, R. (eds.). NJ, United States: IEEE, Institute of Electrical and Electronics Engineers, p. 142-148 7 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Cardiovascular Models
  • Machine Learning
  • Datasets
  • Machine learning
  • Health
  2 Citations (Scopus)

• Neuro Fuzzy Architecture for Gray Scale Image Watermarking using Fractal Dimensions

  Mishra, A., Sehra, K. & CHETTY, G., 8 Jul 2018, Proceedings 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil, Brazil: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2018-July. p. 1-8 8 p. 8489350. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Image watermarking
  • Feedforward neural networks
  • Fuzzy inference
  • Image quality
  • Image processing
  2 Citations (Scopus)

• Obesity and Co-Morbidity Detection in Clinical Text Using Deep Learning and Machine Learning Techniques

  Rajput, K., Chetty, G. & Davey, R., 10 Dec 2018, Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018: APWConCSE 2018 . Ali, A. B. M. S., Miah, S. & Rao Valluri, M. (eds.). Danvers, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 51-56 6 p. 8853828. (Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Deep Learning
  • Machine Learning
  • Deep learning
  • Machine learning
  • Obesity

• Optimization of scaling factors for image watermarking using harmony search algorithm

  Mishra, A., Agarwal, C. & Chetty, G., 4 Jul 2018, Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer-Verlag London Ltd., p. 422-434 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10963 LNCS).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Image Watermarking
  • Harmony Search
  • Watermarking
  • Scaling Factor
  • Image watermarking

• Oral supplementation of specific collagen peptides accelerates improvement in Achilles tendon pain and function in combination with a tailored exercise program

  Praet, S., Alzyadat, T., Purdam, C., Welvaert, M., Gaida, J., Chetty, G., Manzanero, S., Vlahovich, N., Hughes, D. & Waddington, G., 2018, In: Journal of Bodywork and Movement Therapies. 22, 4, p. 862-863 2 p.

  Research output: Contribution to journal › Article › peer-review

  • Achilles Tendon
  • Collagen
  • Tendinopathy
  • Exercise
  • Peptides

• Performance Analysis of Deep Neural Models for Automatic Identification of Disease Status

  Rajput, K., Chetty, G. & Davey, R., 3 Dec 2018, Proceedings International Conference on Machine Learning and Data Engineering (iCMLDE 2018). Rhee, P. K., Howard, D. & Bashar, R. (eds.). NJ, United States: IEEE, Institute of Electrical and Electronics Engineers, p. 136-141 6 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Health
  • Identification (control systems)
  1 Citation (Scopus)
• 2020

  Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network

  Alzyadat, T., Praet, S., Chetty, G., Goecke, R., Hughes, D., Kumar, D., Welvaert, M., Vlahovich, N. & Waddington, G., 1 Jan 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Yan, P., Lian, C. & Cao, X. (eds.). Netherlands: Springer, p. 444-454 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Tendons
  • Tissue
  • Neural networks
  • Network architecture
  • Imaging techniques

• Genetic algorithms for the travelling salesman problem: a crossover comparison

  Alqura'N Alzyadat, T., Yamin, M. & Chetty, G., Mar 2020, In: International Journal of Information Technology . 12, 1, p. 209-213 5 p.

  Research output: Contribution to journal › Article › peer-review

  • Traveling Salesman Problem
  • Crossover
  • Traveling salesman problem
  • Genetic Algorithm
  • Genes

• Genetic algorithms for the travelling salesman problem: A crossover comparison

  Alzyadat, T., Yamin, M. & Chetty, G., Mar 2020, In: International Journal of Information Technology . 12, 1, p. 209-213 5 p.

  Research output: Contribution to journal › Article › peer-review

  • Traveling salesman problem
  • Crossover
  • Travelling salesman problems
  • Genetic Algorithm
  • Genes
  2 Citations (Scopus)

• Improving sentiment analysis in arabic and english languages by using multi-layer perceptron model (MLP)

  Almaghrabi, M. & Chetty, G., 1 Oct 2020, p. 745-746. 2 p.

  Research output: Contribution to conference (non-published works) › Paper › peer-review

  • Sentiment Analysis
  • Perceptron
  • Multilayer
  • Sentiment analysis
  • Multilayer neural networks