Kia Dashtipour

kia dashtipour

Dr Kia Dashtipour

Lecturer

Date


24 results

Comparing the Performance of Different Classifiers for Posture Detection

Conference Proceeding
Suresh Kumar, S., Dashtipour, K., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., …Ahmad, W. (2022)
Comparing the Performance of Different Classifiers for Posture Detection. In Body Area Networks. Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2021 (210-218). https://doi.org/10.1007/978-3-030-95593-9_17
Human Posture Classification (HPC) is used in many fields such as human computer interfacing, security surveillance, rehabilitation, remote monitoring, and so on. This paper c...

Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances

Conference Proceeding
Ahmed, R., Dashtipour, K., Gogate, M., Raza, A., Zhang, R., Huang, K., …Hussain, A. (2020)
Offline Arabic Handwriting Recognition Using Deep Machine Learning: A Review of Recent Advances. In Advances in Brain Inspired Cognitive Systems: 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings (457-468). https://doi.org/10.1007/978-3-030-39431-8_44
In pattern recognition, automatic handwriting recognition (AHWR) is an area of research that has developed rapidly in the last few years. It can play a significant role in bro...

Visual Speech In Real Noisy Environments (VISION): A Novel Benchmark Dataset and Deep Learning-Based Baseline System

Conference Proceeding
Gogate, M., Dashtipour, K., & Hussain, A. (2020)
Visual Speech In Real Noisy Environments (VISION): A Novel Benchmark Dataset and Deep Learning-Based Baseline System. In Proc. Interspeech 2020 (4521-4525). https://doi.org/10.21437/interspeech.2020-2935
In this paper, we present VIsual Speech In real nOisy eNvironments (VISION), a first of its kind audio-visual (AV) corpus comprising 2500 utterances from 209 speakers, recorde...

A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management

Book Chapter
Adeel, A., Gogate, M., Farooq, S., Ieracitano, C., Dashtipour, K., Larijani, H., & Hussain, A. (2019)
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management. In T. S. Durrani, W. Wang, & S. M. Forbes (Eds.), Geological Disaster Monitoring Based on Sensor Networks (57-66). Singapore: Springer. https://doi.org/10.1007/978-981-13-0992-2_5
Extreme events and disasters resulting from climate change or other ecological factors are difficult to predict and manage. Current limitations of state-of-the-art approaches ...

Deep Neural Network Driven Binaural Audio Visual Speech Separation

Conference Proceeding
Gogate, M., Dashtipour, K., Bell, P., & Hussain, A. (2020)
Deep Neural Network Driven Binaural Audio Visual Speech Separation. In 2020 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn48605.2020.9207517
The central auditory pathway exploits the auditory signals and visual information sent by both ears and eyes to segregate speech from multiple competing noise sources and help...

ASPIRE - Real noisy audio-visual speech enhancement corpus

Dataset
Gogate, M., Dashtipour, K., Adeel, A., & Hussain, A. (2020)
ASPIRE - Real noisy audio-visual speech enhancement corpus. [Dataset]. https://doi.org/10.5281/zenodo.4585619
ASPIRE is a a first of its kind, audiovisual speech corpus recorded in real noisy environment (such as cafe, restaurants) which can be used to support reliable evaluation of m...

Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts

Journal Article
Ahmed, R., Gogate, M., Tahir, A., Dashtipour, K., Al-tamimi, B., Hawalah, A., …Hussain, A. (2021)
Novel Deep Convolutional Neural Network-Based Contextual Recognition of Arabic Handwritten Scripts. Entropy, 23(3), https://doi.org/10.3390/e23030340
Offline Arabic Handwriting Recognition (OAHR) has recently become instrumental in the areas of pattern recognition and image processing due to its application in several field...

Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps

Journal Article
Li, J., Jiang, F., Yang, J., Kong, B., Gogate, M., Dashtipour, K., & Hussain, A. (2021)
Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps. Neurocomputing, 465, 15-25. https://doi.org/10.1016/j.neucom.2021.08.105
Accurate high-definition maps with lane markings are often used as the navigation back-end for commercial autonomous vehicles. Currently, most high-definition maps are manuall...

Ultra-Low-Power, High-Accuracy 434 MHz Indoor Positioning System for Smart Homes Leveraging Machine Learning Models

Journal Article
Nawaz, H., Tahir, A., Ahmed, N., Fayyaz, U. U., Mahmood, T., Jaleel, A., …Abbasi, Q. (2021)
Ultra-Low-Power, High-Accuracy 434 MHz Indoor Positioning System for Smart Homes Leveraging Machine Learning Models. Entropy, 23(11), Article 1401. https://doi.org/10.3390/e23111401
Global navigation satellite systems have been used for reliable location-based services in outdoor environments. However, satellite-based systems are not suitable for indoor p...

A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement

Journal Article
Hussain, T., Wang, W., Gogate, M., Dashtipour, K., Tsao, Y., Lu, X., …Hussain, A. (in press)
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement. IEEE Transactions on Artificial Intelligence, https://doi.org/10.1109/TAI.2022.3169995
Removing background noise from acoustic observations to obtain clean signals is an important research topic regarding numerous real acoustic applications. Owing to their stron...

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