Care of terminally ill / Palliative care

DeepBindi: An End-to-End Fear Detection System Optimized for Extreme-Edge Deployment.

The growing interest in affective computing has resulted in substantial advancements in emotion recognition through the application of various machine learning and deep learning techniques. Nevertheless, existing methodologies exhibit notable limitations. Specifically, they often fail to address extreme-edge design requirements, making them unfeasible for deployment in wearable systems under real-...

An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses. Prevailing research into classifying electromyographic (EMG) muscular data or electroencephalographic (EEG) brain data for this purpose is often limited in methodological rigour, the extent to which generalisation is demonstrated, and the granularity of gestures classified. This work evaluates thr...

Limited-angle SPECT image reconstruction using deep image prior.

. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditions lead to a loss of frequency components, which d...

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding.

Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talker environment using brain signals, typically recor...

Overcoming Information Sparsity in Metasurfaces for Full-Color Holography via End-to-End Design.

We propose an end-to-end (E2E) system for RGB meta-hologram generation that efficiently determines the optimal material and geometry for target hologr...

Hyper-spherical Optimal Transport for Semantic Alignment in Text-to-3D End-to-end Generation.

Recent CLIP-guided 3D generation methods have achieved promising results but struggle with generating faithful 3D shapes that conform with input text ...

Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.

Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute rejection (AR) remains a major factor affecting graft su...

Character generation and visual quality enhancement in animated films using deep learning.

With the application and development of technologies such as artificial intelligence and deep learning in the generation of animated films, improving ...

End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition.

Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve improving the quality and intelligibility of speech sig...

DeepLASD countermeasure for logical access audio spoofing.

Voice-based authentication systems have become increasingly vulnerable to logical access (LA) spoofing through sophisticated voice conversion (VC) and...

End-to-end Learning of Safe Stimulation Parameters for Cortical Neuroprosthetic Vision.

Direct electrical stimulation of the brain via cortical visual neuroprostheses is a promising approach to restore basic sight for the visually impaire...

Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction.

Accurate traffic flow prediction is vital for intelligent transportation systems but presents significant challenges. Existing methods, however, have ...

A Machine Learning Model to Predict Treatment Effect Associated with Targeted Temperature Management After Cardiac Arrest.

BACKGROUND: Targeted temperature management (TTM) has been associated with neurological recovery among comatose survivors of cardiac arrest. The aim o...

End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures.

PURPOSE: Soft tissue pathologies and bone defects are not easily visible in intra-operative fluoroscopic images; therefore, we develop an end-to-end M...

HVAngleEst: A Dataset for End-to-end Automated Hallux Valgus Angle Measurement from X-Ray Images.

Accurate measurement of hallux valgus angle (HVA) and intermetatarsal angle (IMA) is essential for diagnosing hallux valgus and determining appropriat...

DeepMS: super-fast peptide identification using end-to-end deep learning method.

Mass spectrometry (MS) has emerged as a powerful omics analysis technique, particularly in proteomics, where the initial step involves identifying MS ...

ToPoMesh: accurate 3D surface reconstruction from CT volumetric data via topology modification.

Traditional computed tomography (CT) methods for 3D reconstruction face resolution limitations and require time-consuming post-processing workflows. W...

Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.

Deep learning-based methods for identifying and tracking cells within microscopy images have revolutionized the speed and throughput of data analysis....

SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices.

The proliferation of end devices has led to a distributed computing paradigm, wherein on-device machine learning models continuously process diverse d...

Screen shooting resistant watermarking based on cross attention.

With the development of digital imaging devices, the process of recording sensitive information displayed on screens through mobile phones and cameras...