We present a novel local-global feature fusion framework for body-weight...
The rapid tracer kinetics of rubidium-82 (^82Rb) and high variation of
c...
Early prediction of remaining useful life (RUL) is crucial for effective...
Manufacturing industries strive to improve production efficiency and pro...
The classical concept of bounded completeness and its relation to suffic...
We propose PressureTransferNet, a novel method for Human Activity Recogn...
Multi-source unsupervised domain adaptation (MUDA) aims to transfer know...
To help smart wearable researchers choose the optimal ground truth metho...
Cardiovascular disease (CVD) is the leading cause of death worldwide, an...
Accurate camera calibration is crucial for various computer vision
appli...
Folding is an unique structural technique to enable planer materials wit...
In tensor eigenvalue problems, one is likely to be more interested in
H-...
We present CaptAinGlove, a textile-based, low-power (1.15Watts),
privacy...
In-Context learning is the paradigm that adapts large language models to...
To fully evaluate the overall performance of different NLP models in a g...
In this work, we propose an open-source scalable end-to-end RTL framewor...
Myocardial perfusion imaging (MPI) by single-photon emission computed
to...
Single-Photon Emission Computed Tomography (SPECT) is widely applied for...
Identifying moving objects is an essential capability for autonomous sys...
In the realm of search systems, multi-stage cascade architecture is a
pr...
Low-count PET is an efficient way to reduce radiation exposure and
acqui...
For real α∈ [0,1) and a hypergraph G, the α-spectral radius
of G is the ...
Pancreatic cancer is one of the leading causes of cancer-related death.
...
While enabling accelerated acquisition and improved reconstruction accur...
Patient motion during PET is inevitable. Its long acquisition time not o...
Recognizing facial activity is a well-understood (but non-trivial) compu...
Ground pressure exerted by the human body is a valuable source of inform...
Human readers or radiologists routinely perform full-body multi-organ
mu...
The concept of k-core, which indicates the largest induced subgraph wher...
Human health is closely associated with their daily behavior and environ...
This paper studies the problem of controlling a multi-robot system to ac...
Sensor-based 3D hand tracking is still challenging despite the massive
e...
Establishing voxelwise semantic correspondence across distinct imaging
m...
In nuclear imaging, limited resolution causes partial volume effects (PV...
Subject motion in whole-body dynamic PET introduces inter-frame mismatch...
Single-photon emission computed tomography (SPECT) is a widely applied
i...
The estimation of 3D human body shape and clothing measurements is cruci...
Multi-contrast MRI (MC-MRI) captures multiple complementary imaging
moda...
The concept of k-core in complex networks plays a key role in many
appli...
Recently reinforcement learning (RL) has emerged as a promising approach...
Combining off-policy reinforcement learning methods with function
approx...
A large amount of manual segmentation is typically required to train a r...
Maintaining the stability of the modern power grid is becoming increasin...
Multimodal image registration has many applications in diagnostic medica...
In this paper, a lifelong learning problem is studied for an Internet of...
Resource management in Internet of Things (IoT) systems is a major chall...
In this paper, a dense Internet of Things (IoT) monitoring system is stu...
Current research in eSports lacks the tools for proper game practising a...
Proper training and analytics in eSports require accurately collected an...
Remote tiny face detection applied in unmanned system is a challeng-ing ...