AIMC Topic: Data Collection

Clear Filters Showing 121 to 130 of 273 articles

Evolving Deep Architecture Generation with Residual Connections for Image Classification Using Particle Swarm Optimization.

Sensors (Basel, Switzerland) Nov 28, 2021
Automated deep neural architecture generation has gained increasing attention. However, exiting studies either optimize important design choices, without taking advantage of modern strategies such as residual/dense connections, or they optimize resid...
Algorithms Data Collection Neural Networks, Computer
View on PubMed DOI

Multi-layer information fusion based on graph convolutional network for knowledge-driven herb recommendation.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2021
Prescription of Traditional Chinese Medicine (TCM) is a precious treasure accumulated in the long-term development of TCM. Artificial intelligence (AI) technology is used to build herb recommendation models to deeply understand regularities in prescr...
Data Collection Drugs, Chinese Herbal Artificial Intelligence Medicine, Chinese Traditional
View on PubMed DOI

Machine learning algorithm for feature space clustering of mixed data with missing information based on molecule similarity.

Journal of biomedical informatics Nov 15, 2021
Clustering Algorithms have just fascinated significant devotion in machine learning applications owing to their great competence. Nevertheless, the existing algorithms quite have approximately disputes that need to be further deciphered. For example,...
Data Collection Cluster Analysis Algorithms Machine Learning
View on PubMed DOI

Adaptive kernel fuzzy clustering for missing data.

PloS one Nov 12, 2021
Many machine learning procedures, including clustering analysis are often affected by missing values. This work aims to propose and evaluate a Kernel Fuzzy C-means clustering algorithm considering the kernelization of the metric with local adaptive d...
Fuzzy Logic Algorithms Cluster Analysis Data Collection
View on PubMed DOI

Predictive value of ATN biomarker profiles in estimating disease progression in Alzheimer's disease dementia.

Alzheimer's & dementia : the journal of the Alzheimer's Association Nov 10, 2021
We aimed to evaluate the value of ATN biomarker classification system (amyloid beta [A], pathologic tau [T], and neurodegeneration [N]) for predicting conversion from mild cognitive impairment (MCI) to dementia. In a sample of people with MCI (n = 41...
Male Disease Progression Aged Alzheimer Disease Data Collection Amyloid beta-Peptides Cognitive Dysfunction Machine Learning Humans Female Biomarkers tau Proteins
View on PubMed DOI

Data Collection, Modeling, and Classification for Gunshot and Gunshot-like Audio Events: A Case Study.

Sensors (Basel, Switzerland) Nov 3, 2021
Distinguishing between a dangerous audio event like a gun firing and other non-life-threatening events, such as a plastic bag bursting, can mean the difference between life and death and, therefore, the necessary and unnecessary deployment of public ...
Humans Sound Data Collection Algorithms Neural Networks, Computer
View on PubMed DOI

A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams.

Sensors (Basel, Switzerland) Oct 18, 2021
The recent explosive growth in the number of smart technologies relying on data collected from sensors and processed with machine learning classifiers made the training data imbalance problem more visible than ever before. Class-imbalanced sets used ...
Data Collection Machine Learning Data Accuracy
View on PubMed DOI

Machine Learning Data Augmentation as a Tool to Enhance Quantitative Composition-Activity Relationships of Complex Mixtures. A New Application to Dissect the Role of Main Chemical Components in Bioactive Essential Oils.

Molecules (Basel, Switzerland) Oct 17, 2021
Scientific investigation on essential oils composition and the related biological profile are continuously growing. Nevertheless, only a few studies have been performed on the relationships between chemical composition and biological data. Herein, th...
Structure-Activity Relationship Oils, Volatile Complex Mixtures Data Collection Anti-Infective Agents Phylogeny Arthrodermataceae Machine Learning Microsporum
View on PubMed DOI

Accuracy of machine learning logistic regression in death prediction for patients of road traffic injury.

Asian journal of surgery Oct 15, 2021
Logistic Models Machine Learning Data Collection Humans Accidents, Traffic
View on PubMed DOI

Machine learning-based real-time object locator/evaluator for cryo-EM data collection.

Communications biology Sep 7, 2021
In cryo-electron microscopy (cryo-EM) data collection, locating a target object is error-prone. Here, we present a machine learning-based approach with a real-time object locator named yoneoLocr using YOLO, a well-known object detection system. Imple...
Data Collection Algorithms Machine Learning Crystallography, X-Ray Image Processing, Computer-Assisted Cryoelectron Microscopy
View on PubMed DOI
Popular Topics
Recent Journals