Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
OBJECTIVE: Machine learning algorithms can advance clinical care, including identifying mental healt...
Deep Learning in Image Registration (DLIR) methods have been tremendously successful in image regist...
Simulation-based design, optimization, and validation of autonomous driving algorithms have proven...
While personalization has been explored in traditional autonomous driving systems, it remains larg...
Fast diagnosis and repair of enterprise network failures is critically important since disruptions...
Solving Electromagnetic Inverse Scattering Problems (EISP) is fundamental in applications such as ...
3D characters play a crucial role in our daily entertainment. To improve the efficiency of 3D char...
Technological progress has led to concrete advancements in tasks that were regarded as challenging...
The accurate development, assessment, interpretation, and benchmarking of bioinformatics framework...
Accurate interpretation of knee MRI scans relies on expert clinical judgment, often with high vari...
We present Sparsh-X, the first multisensory touch representations across four tactile modalities: ...
In the era of large models and big data, the security of optical fiber communication backbone networ...
A novel self-adaptive secure end-to-end (E2E) transmission approach is proposed for a radio-over-fib...
Autoregressive Transformers are increasingly being deployed as end-to-end robot and autonomous veh...
Multimodal chatbots have become one of the major topics for dialogue systems in both research comm...
Infrared small target detection (IRSTD) remains a long-standing challenge in complex backgrounds d...
End-to-end human animation with rich multi-modal conditions, e.g., text, image and audio has achie...
The continuous improvements on image compression with variational autoencoders have lead to learne...
End-to-end autonomous driving has emerged as a dominant paradigm, yet its highly entangled black-b...
End-to-end multi-modal planning is a promising paradigm in autonomous driving, enabling decision-m...
In complex driving environments, autonomous vehicles must navigate safely. Relying on a single pre...