Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
When sound waves hit an object, they induce vibrations that produce high-frequency and subtle visual changes, which can be used for recovering the sound. Early studies always encounter trade-offs related to sampling rate, bandwidth, field of view, and the simplicity of the optical path. Recent advances in event camera hardware show good potential for its application in visual sound recovery, bec...
Federated learning (FL) enables distributed devices to train a shared machine learning (ML) model collaboratively while protecting their data privacy. However, the resource-limited mobile devices suffer from intensive computation-and-communication costs of model parameters. In this paper, we observe the phenomenon that the model parameters tend to be stabilized long before convergence during tra...
Accurate Above-Ground Biomass (AGB) mapping at both large scale and high spatio-temporal resolution is essential for applications ranging from clima...
This paper proposes a novel knowledge-Base (KB) assisted semantic communication framework for image transmission. At the receiver, a Facebook AI Sim...
The use of patient-specific computational modeling of cardiovascular diseases has become increasingly popular to improve patient standard of care. Mos...
Modern sensing and monitoring applications typically consist of sources transmitting updates of different sizes, ranging from a few bytes (position,...
Deformable Object Manipulation (DOM) remains a critical challenge in robotics due to the complexities of developing suitable model-based control str...
Currently, video transmission serves not only the Human Visual System (HVS) for viewing but also machine perception for analysis. However, existing ...
This paper investigates distributed joint source-channel coding (JSCC) for correlated image semantic transmission over wireless channels. In this se...
In this paper, we present a simple method to integrate risk-contact data, obtained via digital contact monitoring (DCM) apps, in conventional compar...
In recent years, the rapid development of machine learning has brought reforms and challenges to traditional communication systems. Semantic communi...
When pushing the speed limit for aggressive off-road navigation on uneven terrain, it is inevitable that vehicles may become airborne from time to t...
Encryption is crucial for securing sensitive data during transmission over networks. Various encryption techniques exist, such as AES, DES, and RC4,...
This paper introduces ACC-NVS1, a specialized dataset designed for research on Novel View Synthesis specifically for airborne and ground imagery. Da...
Image compression technology eliminates redundant information to enable efficient transmission and storage of images, serving both machine vision an...
Obtaining high-resolution hyperspectral images (HR-HSI) is costly and data-intensive, making it necessary to fuse low-resolution hyperspectral image...
This paper presents a shear-based control scheme for grasping and manipulating delicate objects with a Pisa/IIT anthropomorphic SoftHand equipped wi...
Remote estimation of vital signs enables health monitoring for situations in which contact-based devices are either not available, too intrusive, or...
In the evolving landscape of 6G networks, semantic communications are poised to revolutionize data transmission by prioritizing the transmission of ...
We present a GPU-friendly framework for real-time implicit simulation of elastic material in the presence of frictional contacts. The integration of...