Work Force

Revealing the real-time diversity and abundance of small mammals by using an Intelligent Animal Monitoring System (IAMS).

It is challenging to reveal the real-time spatio-temporal change of diversity and abundance of anima...

Cellular Network Power Allocation Algorithm Based on Deep Reinforcement Learning and Artificial Intelligence.

In the shortest path planning problem, the old algorithm usually has many defects, such as the robot...

Evaluation Method of Physical Education Teaching and Training Quality Based on Deep Learning.

To solve the problems of great difficulty and low accuracy in the evaluation of physical education t...

Decoupling RNN Training and Testing Observation Intervals for Spectrum Sensing Applications.

Recurrent neural networks have been shown to outperform other architectures when processing temporal...

Machine learning-based statistical closure models for turbulent dynamical systems.

We propose a machine learning (ML) non-Markovian closure modelling framework for accurate prediction...

Oblique and rotation double random forest.

Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As...

Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data.

PURPOSE: To enable a fast and automatic deep learning-based QSM reconstruction of tissues with diver...

Exploring Low-Toxicity Chemical Space with Deep Learning for Molecular Generation.

Creating a wide range of new compounds that not only have ideal pharmacological properties but also ...

FLED-Block: Federated Learning Ensembled Deep Learning Blockchain Model for COVID-19 Prediction.

With the SARS-CoV-2's exponential growth, intelligent and constructive practice is required to diagn...

Proficiency-based progression training for robotic surgery skills training: a randomized clinical trial.

OBJECTIVE: To determine whether proficiency-based progression (PBP) training leads to better robotic...

A dataset of simulated patient-physician medical interviews with a focus on respiratory cases.

Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and outbreak d...

Generic Mechanism for Waveform Regulation and Synchronization of Oscillators: An Application for Robot Behavior Diversity Generation.

While nonlinear oscillators have been widely used for central pattern generators to produce basic rh...

AICellCounter: A Machine Learning-Based Automated Cell Counting Tool Requiring Only One Image for Training.

Training much deeper spiking neural networks with a small number of time-steps.

Spiking Neural Network (SNN) is a promising energy-efficient neural architecture when implemented on...

Improving the robustness and accuracy of biomedical language models through adversarial training.

Deep transformer neural network models have improved the predictive accuracy of intelligent text pro...

Artificial intelligence and machine learning in precision and genomic medicine.

The advancement of precision medicine in medical care has led behind the conventional symptom-driven...

Value of robotic surgery simulation for training surgical residents and attendings: a systematic review protocol.

INTRODUCTION: Robotic surgery is a method of minimally invasive surgery performed through small inci...

Artificial Intelligence-Based Semisupervised Self-Training Algorithm in Pathological Tissue Image Segmentation.

In the field of medical image processing, due to the differences in tissues, organs, and imaging met...

Evaluation of the Physical Education Teaching and Training Efficiency by the Integration of Ideological and Political Courses with Lightweight Deep Learning.

The purpose is to improve the training effect of physical education (PE) based on the teaching conce...

Contrastive representation learning of inorganic materials to overcome lack of training datasets.

Data representation forms a feature space where forms data distribution that is one of the key facto...

Acquisition of robotic surgical skills does not require laparoscopic training: a randomized controlled trial.

BACKGROUND: Robotic surgery is a valid option for minimally invasive surgery in most surgical specia...