AIMC Topic: Neural Networks, Computer

Clear Filters Showing 28121 to 28130 of 31376 articles

Optimizing milling parameters based on full factorial experiment and backpropagation artificial neural network of lamina milling temperature prediction model.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Milling operations of laminae in spinal surgery generate high temperatures, which can lead to thermal injury and osteonecrosis and affect the biomechanical effects of implants, ultimately leading to surgical failure.

Application of neural networks for the detection of oral cancer: A systematic review.

Dental and medical problems
One potential application of neural networks (NNs) is the early-stage detection of oral cancer. This systematic review aimed to determine the level of evidence on the sensitivity and specificity of NNs for the detection of oral cancer, following the ...

Classification of Brain Tumours in MRI Images using a Convolutional Neural Network.

Current medical imaging
INTRODUCTION: Recent advances in deep learning have aided the well-being business in Medical Imaging of numerous disorders like brain tumours, a serious malignancy caused by unregulated and aberrant cell portioning. The most frequent and widely used ...

[Establishment of comprehensive evaluation models of physical fitness of the elderly based on machine learning].

Sheng li xue bao : [Acta physiologica Sinica]
The present study aims to establish comprehensive evaluation models of physical fitness of the elderly based on machine learning, and provide an important basis to monitor the elderly's physique. Through stratified sampling, the elderly aged 60 years...

An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks.

Biostatistics (Oxford, England)
In many biomedical applications, outcome is measured as a "time-to-event" (e.g., disease progression or death). To assess the connection between features of a patient and this outcome, it is common to assume a proportional hazards model and fit a pro...

[Automated cephalometric landmark identification and location based on convolutional neural network].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology
To develop an automated landmark location system applicable to the case of landmark missing. Four and eighty-one lateral cephalograms, which contained 240 males and 241 females, with an average age of (24.5±5.6) years, taken from January 2015 to Ja...

The Efficiency of Question-Asking Strategies in a Real-World Visual Search Task.

Cognitive science
In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represe...

deepFPlearn +: enhancing toxicity prediction across the chemical universe using graph neural networks.

Bioinformatics (Oxford, England)
SUMMARY: Sophisticated approaches for the in silico prediction of toxicity are required to support the risk assessment of chemicals. The number of chemicals on the global chemical market and the speed of chemical innovation stand in massive contrast ...

Bridging artificial intelligence and fucoxanthin for the recovery and quantification from microalgae.

Bioengineered
Fucoxanthin is a carotenoid that possesses various beneficial medicinal properties for human well-being. However, the current extraction technologies and quantification techniques are still lacking in terms of cost validation, high energy consumption...