Staffing & Scheduling

Pre-Processing Method to Improve Cross-Domain Fault Diagnosis for Bearing.

Models trained with one system fail to identify other systems accurately because of domain shifts. To perform domain adaptation, numerous studies have been conducted in many fields and have successfully aligned different domains into one domain. The domain shift problem is caused by the difference of distributions between two domains, which is solved by reducing this difference. Source domain data...

Efficacy and safety of an open lung ventilation strategy with staircase recruitment followed by comparison on two different modes of ventilation, in moderate ARDS in cirrhosis: A pilot randomized trial.

BACKGROUND: Mechanical ventilation in cirrhosis with acute respiratory distress syndrome (ARDS) is not widely studied. We aimed to study the effect of the staircase recruitment manoeuvre followed by two different modes of ventilation.

Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead.

Artificial Intelligence (AI) has played a substantial role in the response to the challenges posed by the current pandemic. The growing interest in us...

Deep ConvNet: Non-Random Weight Initialization for Repeatable Determinism, Examined with FSGM.

A repeatable and deterministic non-random weight initialization method in convolutional layers of neural networks examined with the Fast Gradient Sign...

CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning.

Ion intercalation based programmable resistors have emerged as a potential next-generation technology for analog deep-learning applications. Proton, b...

Optimization and Simulation of Enterprise Management Resource Scheduling Based on the Radial Basis Function (RBF) Neural Network.

In the human resource system of modern enterprises, human-post matching big data occupies an important irreplaceable position. With the deepening of t...

Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.

Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequently therapeutics directed against CCR5 are being in...

A deep learning approach to student registered nurse anesthetist (SRNA) education.

OBJECTIVES: This manuscript describes the application of deep learning to physiology education of Student Registered Nurse Anesthetists (SRNA) and the...

Occupational profiling driven by online job advertisements: Taking the data analysis and processing engineering technicians as an example.

The occupational profiling system driven by the traditional survey method has some shortcomings such as lag in updating, time consumption and laboriou...

Autoencoder based self-supervised test-time adaptation for medical image analysis.

Deep neural networks have been successfully applied to medical image analysis tasks like segmentation and synthesis. However, even if a network is tra...

Highly Sensitive Ultrastable Electrochemical Sensor Enabled by Proton-Coupled Electron Transfer.

Electrochemical sensors are critical to artificial intelligence by virtue of capability of mimicking human skin to report sensing signals. But their p...

Inter-Subject Domain Adaptation for CNN-Based Wrist Kinematics Estimation Using sEMG.

Recently, convolutional neural network (CNN) has been widely investigated to decode human intentions using surface Electromyography (sEMG) signals. Ho...

Machine learning for surgical time prediction.

BACKGROUND AND OBJECTIVE: Operating Rooms (ORs) are among the most expensive services in hospitals. A challenge to optimize the OR efficiency is to im...

Au-Ag core-shell composite nanoparticles as a selective and sensitive plasmonic chemical probe for l-cysteine detection in (lentils).

The present work reported is a simple and selective method for the colorimetrical detection of l-cysteine in (or lentils) using Au-Ag core-shell (Au ...

Identifying factors associated with roadside work zone collisions using machine learning techniques.

Identifying factors that are associated with the probability of roadside work zone collisions enables decision makers to better assess and control the...

The case for AI-driven cancer clinical trials - The efficacy arm in silico.

Pharmaceutical agents in oncology currently have high attrition rates from early to late phase clinical trials. Recent advances in computational metho...

Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry.

Crosslinking mass spectrometry has developed into a robust technique that is increasingly used to investigate the interactomes of organelles and cells...

Robot-Assisted Autism Therapy (RAAT). Criteria and Types of Experiments Using Anthropomorphic and Zoomorphic Robots. Review of the Research.

Supporting the development of a child with autism is a multi-profile therapeutic work on disturbed areas, especially understanding and linguistic expr...

An study of lipase inhibitory peptides obtained from de-oiled rice bran.

De-oiled rice bran (DORB) is a potentially useful by-product of the rice bran oil industry. DORB may prove to be an important protein source, and also...

Deep learning neural network tools for proteomics.

Mass-spectrometry-based proteomics enables quantitative analysis of thousands of human proteins. However, experimental and computational challenges re...