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Cloud Computing

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Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients.

International journal of computer assisted radiology and surgery
PURPOSE: Body weight is a crucial parameter for patient-specific treatments, particularly in the context of proper drug dosage. Contactless weight estimation from visual sensor data constitutes a promising approach to overcome challenges arising in e...

Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.

BMC nephrology
BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to intradialytic symptoms, such as hypotension, nausea, vomiting, and cramping/myalgia. Relative blood volume (RBV) plays an important role in adapting the ...

A Sensing System Based on Public Cloud to Monitor Indoor Environment of Historic Buildings.

Sensors (Basel, Switzerland)
Monitoring the indoor environment of historic buildings helps to identify potential risks, provide guidelines for improving regular maintenance, and preserve cultural artifacts. However, most of the existing monitoring systems proposed for historic b...

Remote Care Assistance in Emergency Department Based on Smart Medical.

Journal of healthcare engineering
Smart medical care is user-centric, medical information is the main line, and big data, Internet of Things, cloud computing, artificial intelligence, and other technologies are used to establish scientific and accurate information, as well as an effi...

The machine learning life cycle and the cloud: implications for drug discovery.

Expert opinion on drug discovery
: Artificial intelligence (AI) and machine learning (ML) are increasingly used in many aspects of drug discovery. Larger data sizes and methods such as Deep Neural Networks contribute to challenges in data management, the required software stack, and...

Democratising deep learning for microscopy with ZeroCostDL4Mic.

Nature communications
Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by DL technology, the need to access powerful and compatible resources ...

Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing.

Big data
The Internet of Things (IoT) is permeating our daily lives through continuous environmental monitoring and data collection. The promise of low latency communication, enhanced security, and efficient bandwidth utilization lead to the shift from mobile...

A Review: Point Cloud-Based 3D Human Joints Estimation.

Sensors (Basel, Switzerland)
Joint estimation of the human body is suitable for many fields such as human-computer interaction, autonomous driving, video analysis and virtual reality. Although many depth-based researches have been classified and generalized in previous review or...

Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management.

Sensors (Basel, Switzerland)
The number of patients with cardiovascular diseases is rapidly increasing in the world. The workload of existing clinicians is consequently increasing. However, the number of cardiovascular clinicians is declining. In this paper, we aim to design a m...

MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets.

Neural networks : the official journal of the International Neural Network Society
Deep learning-based methods have shown to achieve excellent results in a variety of domains, however, some important assets are absent. Quality scalability is one of them. In this work, we introduce a novel and generic neural network layer, named Mas...