COVID-19 control by computer vision approaches: A survey
The COVID-19 pandemic has triggered an urgent call to contribute to the fight against an
immense threat to the human population. Computer Vision, as a subfield of artificial intelligence…
immense threat to the human population. Computer Vision, as a subfield of artificial intelligence…
Computer vision for COVID-19 control: a survey
The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an
immense threat to the human population. Computer Vision, as a subfield of Artificial …
immense threat to the human population. Computer Vision, as a subfield of Artificial …
Efficient diffusion models for vision: A survey
Diffusion Models (DMs) have demonstrated state-of-the-art performance in content generation
without requiring adversarial training. These models are trained using a two-step process. …
without requiring adversarial training. These models are trained using a two-step process. …
COVID-19 detection through transfer learning using multimodal imaging data
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how transfer learning from deep …
containment decisions. In this study, we demonstrate how transfer learning from deep …
Depression detection from social network data using machine learning techniques
Purpose Social networks have been developed as a great point for its users to communicate
with their interested friends and share their opinions, photos, and videos reflecting their …
with their interested friends and share their opinions, photos, and videos reflecting their …
Non-resonant dot–cavity coupling and its potential for resonant single-quantum-dot spectroscopy
Non-resonant emitter–cavity coupling is a fascinating effect recently observed as unexpected
pronounced cavity resonance emission even in strongly detuned single quantum dot–…
pronounced cavity resonance emission even in strongly detuned single quantum dot–…
Capsule carbohydrate structure determines virulence in Acinetobacter baumannii
…, G Di Venanzio, S Chakravorty, A Ulhaq… - PLoS …, 2021 - journals.plos.org
Acinetobacter baumannii is a highly antibiotic-resistant bacterial pathogen for which novel
therapeutic approaches are needed. Unfortunately, the drivers of virulence in A. baumannii …
therapeutic approaches are needed. Unfortunately, the drivers of virulence in A. baumannii …
Comparative validation study on identification of premixed flame transfer function
L Tay-Wo-Chong, S Bomberg, A Ulhaq, T Komarek… - 2012 - asmedigitalcollection.asme.org
The flame transfer function (FTF) of a premixed swirl burner was identified from a time series
generated with computational fluid dynamics simulations of compressible, turbulent, …
generated with computational fluid dynamics simulations of compressible, turbulent, …
Cascaded single-photon emission from the Mollow triplet sidebands of a quantum dot
Emission from a resonantly excited quantum emitter is a fascinating research topic within the
field of quantum optics and is a useful source for different types of quantum light fields. The …
field of quantum optics and is a useful source for different types of quantum light fields. The …
X-ray image based COVID-19 detection using pre-trained deep learning models
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease
containment decisions. In this study, we demonstrate how pre-trained deep learning models …
containment decisions. In this study, we demonstrate how pre-trained deep learning models …