AIMC Topic: Algorithms

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Applications of Artificial Intelligence and Machine Learning Algorithms to Crystallization.

Chemical reviews
Artificial intelligence and specifically machine learning applications are nowadays used in a variety of scientific applications and cutting-edge technologies, where they have a transformative impact. Such an assembly of statistical and linear algebr...

Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model.

Sensors (Basel, Switzerland)
Walking is an exercise that uses muscles and joints of the human body and is essential for understanding body condition. Analyzing body movements through gait has been studied and applied in human identification, sports science, and medicine. This st...

A hybrid method based on semi-supervised learning for relation extraction in Chinese EMRs.

BMC medical informatics and decision making
BACKGROUND: Building a large-scale medical knowledge graphs needs to automatically extract the relations between entities from electronic medical records (EMRs) . The main challenges are the scarcity of available labeled corpus and the identification...

A BERT-Based Aspect-Level Sentiment Analysis Algorithm for Cross-Domain Text.

Computational intelligence and neuroscience
Cross-domain text sentiment analysis is a text sentiment classification task that uses the existing source domain annotation data to assist the target domain, which can not only reduce the workload of new domain data annotation, but also significantl...

An Intelligent System for Detecting Abnormal Behavior in Students Based on the Human Skeleton and Deep Learning.

Computational intelligence and neuroscience
With the use of an intelligent video system, this research provides a method for detecting abnormal behavior based on the human skeleton and deep learning. To begin with, the spatiotemporal features of human bones are extracted through iterative trai...

Analysis of Diabetes Clinical Data Based on Recurrent Neural Networks.

Computational intelligence and neuroscience
At present, diabetes is one of the most important chronic noncommunicable diseases, that have threatened human health. By 2020, the number of diabetic patients worldwide has reached 425 million. This amazing number has attracted the great attention o...

Harris Hawk Optimization: A Survey onVariants and Applications.

Computational intelligence and neuroscience
In this review, we intend to present a complete literature survey on the conception and variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along with an updated set of applications in well-established works. For th...

Evaluation of the Design of "Shape" and "Meaning" of Book Binding from the Perspective of Deep Learning.

Computational intelligence and neuroscience
Book binding is the procedure of manually accumulating a book in codex format from a well-ordered pile of paper sheets, which are folded together into sections or occasionally left as a stack of individual sheets. The books undergo binding into diffe...

CNN-Based Brain Tumor Detection Model Using Local Binary Pattern and Multilayered SVM Classifier.

Computational intelligence and neuroscience
In this paper, an autonomous brain tumor segmentation and detection model is developed utilizing a convolutional neural network technique that included a local binary pattern and a multilayered support vector machine. The detection and classification...