AIMC Topic:
Computer Simulation

Clear Filters Showing 1381 to 1390 of 3823 articles

Developing basic robotic skills using virtual reality simulation and automated assessment tools: a multidisciplinary robotic virtual reality-based curriculum using the Da Vinci Skills Simulator and tracking progress with the Intuitive Learning platform.

Journal of robotic surgery
This study sought to develop basic robotic surgical skills among surgical trainees across multiple specialties using a VR-based curriculum and provided objective, on-demand, automated assessments using the Intuitive Learning platform. This curriculum...

A Neural Network-Based Method for Fast Capture and Tracking of Laser Links between Nonorbiting Platforms.

Computational intelligence and neuroscience
In this paper, a neural network approach is used to conduct an in-depth study and analysis of the fast capture tracking method for laser links between nonorbiting platforms. The experimental platform of the convolutional neural network- (CNN-) based ...

Variational quantum classifiers through the lens of the Hessian.

PloS one
In quantum computing, the variational quantum algorithms (VQAs) are well suited for finding optimal combinations of things in specific applications ranging from chemistry all the way to finance. The training of VQAs with gradient descent optimization...

Neural network-based adaptive global sliding mode MPPT controller design for stand-alone photovoltaic systems.

PloS one
The increasing energy demand and the target to reduce environmental pollution make it essential to use efficient and environment-friendly renewable energy systems. One of these systems is the Photovoltaic (PV) system which generates energy subject to...

Learning robust perceptive locomotion for quadrupedal robots in the wild.

Science robotics
Legged robots that can operate autonomously in remote and hazardous environments will greatly increase opportunities for exploration into underexplored areas. Exteroceptive perception is crucial for fast and energy-efficient locomotion: Perceiving th...

Novel Big Data-Driven Machine Learning Models for Drug Discovery Application.

Molecules (Basel, Switzerland)
Most contemporary drug discovery projects start with a 'hit discovery' phase where small chemicals are identified that have the capacity to interact, in a chemical sense, with a protein target involved in a given disease. To assist and accelerate thi...

LPI Radar Waveform Recognition Based on Neural Architecture Search.

Computational intelligence and neuroscience
In order to reach the intelligent recognition, the deep learning classifiers adopted by radar waveform are normally trained with transfer learning, where the pretrained convolutional neural network on an external large-scale classification dataset (e...

Research on Music Style Classification Based on Deep Learning.

Computational and mathematical methods in medicine
Music style is one of the important labels for music classification, and the current music style classification methods extract features such as rhythm and timbre of music and use classifiers to achieve classification. The classification accuracy is ...

Review on generic methods for mechanical modeling, simulation and control of soft robots.

PloS one
In this review paper, we are interested in the models and algorithms that allow generic simulation and control of a soft robot. First, we start with a quick overview of modeling approaches for soft robots and available methods for calculating the mec...

Ensemble deep learning for the prediction of proficiency at a virtual simulator for robot-assisted surgery.

Surgical endoscopy
BACKGROUND: Artificial intelligence (AI) has the potential to enhance patient safety in surgery, and all its aspects, including education and training, will derive considerable benefit from AI. In the present study, deep-learning models were used to ...