Research Output per year
Fingerprint Dive into the research topics where Ferdous Sohel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 3 Similar Profiles
Acoustics
Engineering & Materials Science
Object recognition
Engineering & Materials Science
Fusion reactions
Engineering & Materials Science
Neural networks
Engineering & Materials Science
Labeling
Engineering & Materials Science
Labels
Engineering & Materials Science
Biometrics
Engineering & Materials Science
Reefs
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2004 2019
Acoustic Scene Classification Using Joint Time-Frequency Image-Based Feature Representations
Abidin, S., Togneri, R. & Sohel, F., 11 Feb 2019, Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance. IEEE, Institute of Electrical and Electronics Engineers, 8639164. (Proceedings of AVSS 2018 - 2018 15th IEEE International Conference on Advanced Video and Signal-Based Surveillance).Research output: Chapter in Book/Conference paper › Conference paper
Acoustics
Fusion reactions
Mathematical transformations
A Survey: Neural Network-Based Deep Learning for Acoustic Event Detection
Xia, X., Togneri, R., Sohel, F., Zhao, Y. & Huang, D., Aug 2019, In : Circuits, Systems, and Signal Processing. 38, 8, p. 3433-3453Research output: Contribution to journal › Article
Event Detection
Acoustics
Neural Networks
Neural networks
Speech Processing
Deep learning for scene understanding
Nadeem, U., Shah, S. A. A., Sohel, F., Togneri, R. & Bennamoun, M., 19 Mar 2019, Handbook of deep learning applications. Balas, V. E., Roy, S. S., Sharma, D. & Samui, P. (eds.). Cham: Springer, p. 21-51 27 p. (Smart Innovation, Systems and Technologies; vol. 136).Research output: Chapter in Book/Conference paper › Chapter
Computer vision
Neural networks
Network architecture
Hardware
Deep learning
Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death
Awan, S. E., Bennamoun, M., Sohel, F., Sanfilippo, F. M., Chow, B. J. & Dwivedi, G., 26 Jun 2019, In : PLoS One. 14, 6, e0218760.Research output: Contribution to journal › Article
Open Access
artificial intelligence
heart failure
Learning systems
Feature extraction
Heart Failure
Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition
Ke, Q., Liu, J., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Mori, G., Li, H., Schindler, K. & Jawahar, C. V. (eds.). Springer-Verlag Berlin, p. 729-745 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11364 LNCS).Research output: Chapter in Book/Conference paper › Conference paper
Cross-entropy
Action Recognition
Skeleton
Labels
Entropy
Projects 2008 2015
Learning Crowd Behaviours in Visual Scenes
Sohel, F. & Vasconcelos, N.
University of Western Australia
1/01/15 → 31/12/15
Project: Research
Round 1 (2012) - Advanced Vision System for Automatic Shark Detection and Tracking
Bennamoun, M., Sohel, F., Boussaid, F. & An, S.
7/02/13 → 6/12/15
Project: Research
Hyperspectral Survey of Road Conditions by a Vehicle Mounted Multisensor System
Bennamoun, M., Sohel, F., El-Sallam Abd, A. & Hahn, M.
1/01/13 → 31/12/14
Project: Research
Scalable 3D Video Quality Control for Multiresolution 3D Displays
University of Western Australia
31/03/12 → 31/10/15
Project: Research
DEEWR Endeavour Awards Endeavour Research Fellowships - Sohel
Department of Education, Employment & Workplace Relations (DEEWR)
1/01/12 → 31/12/12
Project: Research