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Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network.

Sensors (Basel, Switzerland)
A partitionable adaptive multilayer diffractive optical neural network is constructed to address setup issues in multilayer diffractive optical neural network systems and the difficulty of flexibly changing the number of layers and input data size. W...

Critical Analysis of the Current Medical Image-Based Processing Techniques for Automatic Disease Evaluation: Systematic Literature Review.

Sensors (Basel, Switzerland)
Medical image processing and analysis techniques play a significant role in diagnosing diseases. Thus, during the last decade, several noteworthy improvements in medical diagnostics have been made based on medical image processing techniques. In this...

Minimally Invasive Surgery in the United States, 2022: Understanding Its Value Using New Datasets.

The Journal of surgical research
INTRODUCTION: While minimally invasive surgery (MIS) has transformed the treatment landscape of surgical care, its utilization is not well understood. The newly released Nationwide Ambulatory Surgery Sample allows for more accurate estimates of MIS v...

Using deep learning and electronic health records to detect Noonan syndrome in pediatric patients.

Genetics in medicine : official journal of the American College of Medical Genetics
PURPOSE: The variable expressivity and multisystem features of Noonan syndrome (NS) make it difficult for patients to obtain a timely diagnosis. Genetic testing can confirm a diagnosis, but underdiagnosis is prevalent owing to a lack of recognition a...

Attribute Feature Classification of English Grammar Entry Base Based on Support Vector Machine Classification Algorithm.

Computational intelligence and neuroscience
An attribute feature classification method of English grammar vocabulary entry database based on support vector machine classification algorithm is proposed; this method takes news English as the research object and focuses on the classification of a...

Neural network training method for materials science based on multi-source databases.

Scientific reports
The fourth paradigm of science has achieved great success in material discovery and it highlights the sharing and interoperability of data. However, most material data are scattered among various research institutions, and a big data transmission wil...

Machine learning approaches used to analyze auditory evoked responses from the human auditory brainstem: A systematic review.

Computer methods and programs in biomedicine
BACKGROUND: The application of machine learning algorithms for assessing the auditory brainstem response has gained interest over recent years with a considerable number of publications in the literature. In this systematic review, we explore how mac...

A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset.

Sensors (Basel, Switzerland)
Depth video sequence-based deep models for recognizing human actions are scarce compared to RGB and skeleton video sequences-based models. This scarcity limits the research advancements based on depth data, as training deep models with small-scale da...

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization.

Journal of chemical information and modeling
To obtain observable physical or molecular properties such as ionization potential and fluorescent wavelength with quantum chemical (QC) computation, multi-step computation manipulated by a human is required. Hence, automating the multi-step computat...

Multi-Task Neural Networks and Molecular Fingerprints to Enhance Compound Identification from LC-MS/MS Data.

Molecules (Basel, Switzerland)
Mass spectrometry (MS) is widely used for the identification of chemical compounds by matching the experimentally acquired mass spectrum against a database of reference spectra. However, this approach suffers from a limited coverage of the existing d...