Public Health & Policy

Ethics

Latest AI and machine learning research in ethics for healthcare professionals.

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Research on non-destructive testing of hotpot oil quality by fluorescence hyperspectral technology combined with machine learning.

Eating repeatedly used hotpot oil will cause serious harm to human health. In order to realize rapid...

Minimize Tracking Occlusion in Collaborative Pick-and-Place Tasks: An Analytical Approach for Non-Wrist-Partitioned Manipulators.

Several industrial pick-and-place applications, such as collaborative assembly lines, rely on visual...

Apache Spark and Deep Learning Models for High-Performance Network Intrusion Detection Using CSE-CIC-IDS2018.

Keeping computers secure is becoming challenging as networks grow and new network-based technologies...

Danshao Shugan Granule therapy for non-alcoholic fatty liver disease.

BACKGROUND: Danshao Shugan Granules (DSSG), a traditional Chinese medicine (TCM), is given to protec...

Linear or non-linear multivariate calibration models? That is the question.

Concepts from data science, machine learning, deep learning and artificial neural networks are sprea...

Non-destructive detection and classification of textile fibres based on hyperspectral imaging and 1D-CNN.

Textile fibre is very common in daily life, and its classification and identification play an import...

Towards Ethical AI: Empirically Investigating Dimensions of AI Ethics, Trust Repair, and Performance in Human-AI Teaming.

OBJECTIVE: Determining the efficacy of two trust repair strategies (apology and denial) for trust vi...

Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring.

Non-intrusive load monitoring (NILM) is the task of disaggregating the total power consumption into ...

Deep-Learning-Based Ultrasound Sound-Speed Tomography Reconstruction with Tikhonov Pseudo-Inverse Priori.

Ultrasound sound-speed tomography (USST) is a promising technology for breast imaging and breast can...

Best of Both Worlds: Detecting Application Layer Attacks through 802.11 and Non-802.11 Features.

Intrusion detection in wireless and, more specifically, Wi-Fi networks is lately increasingly under ...

Machine learning-assisted prediction of pneumonia based on non-invasive measures.

BACKGROUND: Pneumonia is an infection of the lungs that is characterized by high morbidity and morta...

Using deep learning to predict outcomes of legal appeals better than human experts: A study with data from Brazilian federal courts.

Legal scholars have been trying to predict the outcomes of trials for a long time. In recent years, ...

Physics guided neural networks for modelling of non-linear dynamics.

The success of the current wave of artificial intelligence can be partly attributed to deep neural n...

Mean-square stabilization of impulsive neural networks with mixed delays by non-fragile feedback involving random uncertainties.

In this paper, we consider a class of neural networks with mixed delays and impulsive interferences....

Comparison of Two-Port and Three-Port Approaches in Robotic Lobectomy for Non-Small Cell Lung Cancer.

BACKGROUND: Robot-assisted lobectomy has been used to treat non-small cell lung cancer and usually u...

Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks.

The Black Sea is an important ecosystem, which is affected by various anthropogenic pressures, such ...

Identification of early invisible acute ischemic stroke in non-contrast computed tomography using two-stage deep-learning model.

Although non-contrast computed tomography (NCCT) is the recommended examination for the suspected a...

Public views on ethical issues in healthcare artificial intelligence: protocol for a scoping review.

BACKGROUND: In recent years, innovations in artificial intelligence (AI) have led to the development...

Deep Learning-Based Non-Intrusive Commercial Load Monitoring.

Commercial load is an essential demand-side resource. Monitoring commercial loads helps not only com...

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