Work Force

Finding a Suitable Class Distribution for Building Histological Images Datasets Used in Deep Model Training-The Case of Cancer Detection.

The class distribution of a training dataset is an important factor which influences the performance...

Deduction learning for precise noninvasive measurements of blood glucose with a dozen rounds of data for model training.

Personalized modeling has long been anticipated to approach precise noninvasive blood glucose measur...

Closing the Control Loop with Time-Variant Embedded Soft Sensors and Recurrent Neural Networks.

Embedded soft sensors can significantly impact the design and control of soft-bodied robots. Althoug...

Memristor-based analogue computing for brain-inspired sound localization with in situ training.

The human nervous system senses the physical world in an analogue but efficient way. As a crucial ab...

Key Feature Extraction Method of Electroencephalogram Signal by Independent Component Analysis for Athlete Selection and Training.

Emotion is an important expression generated by human beings to external stimuli in the process of i...

Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images.

Combining experiments with artificial intelligence algorithms, we propose a machine learning based a...

Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging.

A key challenge in training neural networks for a given medical imaging task is the difficulty of ob...

Application of Unsupervised Transfer Technique Based on Deep Learning Model in Physical Training.

The research purpose is to study the standardization and scientizing of physical training actions. S...

Using Robot-Based Variables during Upper Limb Robot-Assisted Training in Subacute Stroke Patients to Quantify Treatment Dose.

In post-stroke motor rehabilitation, treatment dose description is estimated approximately. The aim ...

Effects of nitrogen and phosphorus addition on growth and leaf nitrogen metabolism of alfalfa in alkaline soil in Yinchuan Plain of Hetao Basin.

Alkaline soil is widely distributed in China. Its rational utilization is an effective measure to so...

Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements.

BACKGROUND: Right atrial (RA) area predicts mortality in patients with pulmonary hypertension, and i...

A Survey of End-to-End Driving: Architectures and Training Methods.

Autonomous driving is of great interest to industry and academia alike. The use of machine learning ...

Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection.

The two issues on dynamically generated hierarchical neural networks such as the sort of basic neuro...

The Atlantic divide: contrasting surgical robotics training in the USA, UK and Ireland.

The uptake of robotic surgery is rapidly increasing worldwide across surgical specialties. However, ...

Harnessing Deep Learning for Optimization of Lennard-Jones Parameters for the Polarizable Classical Drude Oscillator Force Field.

The outcomes of computational chemistry and biology research, including drug design, are significant...

Using artificial intelligence to support rapid, mixed-methods analysis: Developing an automated qualitative assistant (AQUA).

Context: Qualitative research - crucial for understanding human behavior - remains underutilized, in...

Validation of standardized training system for robot-assisted radical prostatectomy: comparison of perioperative and surgical outcomes between experienced surgeons and novice surgeons at a low-volume institute in Japan.

INTRODUCTION: Although robot-assisted radical prostatectomy (RARP) has become a standard treatment m...

Predicting financial losses due to apartment construction accidents utilizing deep learning techniques.

This study aims to generate a deep learning algorithm-based model for quantitative prediction of fin...

The Experiences of Robot-Assisted Gait Training in Patients With Neurological Disorders: A Qualitative Study.

PURPOSE: The aim of this study was to explore the rehabilitation experiences and perceptions of pati...

Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms.

Robot-Assisted Training as Self-Training for Upper-Limb Hemiplegia in Chronic Stroke: A Randomized Controlled Trial.

BACKGROUND: This study aimed to examine whether robotic self-training improved upper-extremity funct...