Zobrazeno 1 - 10
of 613
pro vyhledávání: '"Datta, Amitava"'
Liquid droplets on fiber are often observed both in nature and in different engineering applications, like a fog harvesting mesh. Knowledge about drop-on-fiber morphology and its shedding under the influence of gravity can allow for the design of bet
Externí odkaz:
http://arxiv.org/abs/2408.13118
Time-dependent droplet detachment behaviour from wettability-engineered fibers during fog harvesting
Water collection from natural and industrial fogs has recently been viewed as a viable freshwater source. An interesting outgrowth of the relevant research as focused on arresting of the drift losses (un-evaporated and re-condensed water droplets pre
Externí odkaz:
http://arxiv.org/abs/2403.05997
The COVID-19 pandemic has profoundly reshaped our lives, prompting a search for solutions to its far-reaching effects. Vaccines emerged as a beacon of hope, yet reaching remote areas faces last-mile hurdles and cost issues due to loss of vaccine pote
Externí odkaz:
http://arxiv.org/abs/2402.02691
Segmenting organs in CT scan images is a necessary process for multiple downstream medical image analysis tasks. Currently, manual CT scan segmentation by radiologists is prevalent, especially for organs like the pancreas, which requires a high level
Externí odkaz:
http://arxiv.org/abs/2401.10419
Fog harvesting relies on intercepting atmospheric or industrial fog by placing a porous obstacle, e.g., a mesh and collecting the deposited water. In the face of global water scarcity, such fog harvesting has emerged as a viable alternative source of
Externí odkaz:
http://arxiv.org/abs/2401.05284
Publikováno v:
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Exeter, United Kingdom, 2023, pp. 2706-2713
A wide range of respiratory diseases, such as cold and flu, asthma, and COVID-19, affect people's daily lives worldwide. In medical practice, respiratory sounds are widely used in medical services to diagnose various respiratory illnesses and lung di
Externí odkaz:
http://arxiv.org/abs/2309.04505
Classification of sleep stages plays an essential role in diagnosing sleep-related diseases including Sleep Disorder Breathing (SDB) disease. In this study, we propose an end-to-end deep learning architecture, named SSNet, which comprises of two deep
Externí odkaz:
http://arxiv.org/abs/2307.05373
Automatic evaluation of hashtag recommendation models is a fundamental task in many online social network systems. In the traditional evaluation method, the recommended hashtags from an algorithm are firstly compared with the ground truth hashtags fo
Externí odkaz:
http://arxiv.org/abs/2305.18330
Epilepsy is a highly prevalent brain condition with many serious complications arising from it. The majority of patients which present to a clinic and undergo electroencephalogram (EEG) monitoring would be unlikely to experience seizures during the e
Externí odkaz:
http://arxiv.org/abs/2304.13965
Publikováno v:
Biomed. Signal Process. Control. 84 (2023) 104780
Seizure type identification is essential for the treatment and management of epileptic patients. However, it is a difficult process known to be time consuming and labor intensive. Automated diagnosis systems, with the advancement of machine learning
Externí odkaz:
http://arxiv.org/abs/2211.04628