Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Gammulle, Harshala"'
Autor:
Ranasingha, Chinthaka, Gammulle, Harshala, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton
Early diagnosis of Autism Spectrum Disorder (ASD) is an effective and favorable step towards enhancing the health and well-being of children with ASD. Manual ASD diagnosis testing is labor-intensive, complex, and prone to human error due to several f
Externí odkaz:
http://arxiv.org/abs/2409.18438
Endoscopy plays a major role in identifying any underlying abnormalities within the gastrointestinal (GI) tract. There are multiple GI tract diseases that are life-threatening, such as precancerous lesions and other intestinal cancers. In the usual p
Externí odkaz:
http://arxiv.org/abs/2308.08731
Humans exhibit complex motions that vary depending on the task that they are performing, the interactions they engage in, as well as subject-specific preferences. Therefore, forecasting future poses based on the history of the previous motions is a c
Externí odkaz:
http://arxiv.org/abs/2305.11394
Autor:
Wei, Pengbo, Ahmedt-Aristizabal, David, Gammulle, Harshala, Denman, Simon, Armin, Mohammad Ali
Publikováno v:
Heliyon, Volume 9, Issue 6, June 2023, e16763
Advances in machine learning and contactless sensors have enabled the understanding complex human behaviors in a healthcare setting. In particular, several deep learning systems have been introduced to enable comprehensive analysis of neuro-developme
Externí odkaz:
http://arxiv.org/abs/2208.04206
With tremendous advancements in low-power embedded computing devices and remote sensing instruments, the traditional satellite image processing pipeline which includes an expensive data transfer step prior to processing data on the ground is being re
Externí odkaz:
http://arxiv.org/abs/2204.01952
Autor:
Gammulle, Harshala, Ahmedt-Aristizabal, David, Denman, Simon, Tychsen-Smith, Lachlan, Petersson, Lars, Fookes, Clinton
Publikováno v:
2023, Volume 55, Issue 13s
With advances in data-driven machine learning research, a wide variety of prediction models have been proposed to capture spatio-temporal features for the analysis of video streams. Recognising actions and detecting action transitions within an input
Externí odkaz:
http://arxiv.org/abs/2202.13096
This paper presents a novel lightweight COVID-19 diagnosis framework using CT scans. Our system utilises a novel two-stage approach to generate robust and efficient diagnoses across heterogeneous patient level inputs. We use a powerful backbone netwo
Externí odkaz:
http://arxiv.org/abs/2108.03786
Machine learning-based medical anomaly detection is an important problem that has been extensively studied. Numerous approaches have been proposed across various medical application domains and we observe several similarities across these distinct ap
Externí odkaz:
http://arxiv.org/abs/2012.02364
Gesture recognition is a much studied research area which has myriad real-world applications including robotics and human-machine interaction. Current gesture recognition methods have focused on recognising isolated gestures, and existing continuous
Externí odkaz:
http://arxiv.org/abs/2011.04945
Automating the analysis of imagery of the Gastrointestinal (GI) tract captured during endoscopy procedures has substantial potential benefits for patients, as it can provide diagnostic support to medical practitioners and reduce mistakes via human er
Externí odkaz:
http://arxiv.org/abs/2007.05914