AIMC Topic: Algorithms

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Application of Cluster Analysis Technology in Visualization Research of Movie Review Data.

Computational intelligence and neuroscience
In order to improve the reference value of film review data, this paper combines clustering analysis technology to construct a film review clustering visualization research system to improve the visualization effect of film reviews. Moreover, this pa...

Efficient Detection Method of Pig-Posture Behavior Based on Multiple Attention Mechanism.

Computational intelligence and neuroscience
Due to the low detection precision and poor robustness, the traditional pig-posture and behavior detection method is difficult to apply in the complex pig captivity environment. In this regard, we designed the HE-Yolo (High-effect Yolo) model, which ...

Fault Diagnosis of Wind Turbine Based on Convolution Neural Network Algorithm.

Computational intelligence and neuroscience
Relying on expert diagnosis, it solves the problem of fan failure efficiency and meets the needs of automatic inspection and intelligent operation monitoring of fans. In order to make up for the deficiency of intelligent diagnosis of bearing fault ba...

Tidal turbine support in microgrid frequency regulation through novel cascade Fuzzy-FOPID droop in de-loaded region.

ISA transactions
The goal of this study is to introduce an effective load frequency control scheme with the integration of tidal turbines in a standalone microgrid (μG) system. As standalone μG experiences lower inertia and lacks primary frequency control, the use of...

Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

Journal of medical ultrasonics (2001)
PURPOSE: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscattered radio-frequency ultrasound data. This paper describes how to implement the most practical QUS parameters using an ultrasound research system for t...

A disector-based framework for the automatic optical fractionator.

Journal of chemical neuroanatomy
Stereology-based methods provide the current state-of-the-art approaches for accurate quantification of numbers and other morphometric parameters of biological objects in stained tissue sections. The advent of artificial intelligence (AI)-based deep ...

Convolutional Neural Networks and Heuristic Methods for Crowd Counting: A Systematic Review.

Sensors (Basel, Switzerland)
The crowd counting task has become a pillar for crowd control as it provides information concerning the number of people in a scene. It is helpful in many scenarios such as video surveillance, public safety, and future event planning. To solve such t...

Accurate classification of white blood cells by coupling pre-trained ResNet and DenseNet with SCAM mechanism.

BMC bioinformatics
BACKGROUND: Via counting the different kinds of white blood cells (WBCs), a good quantitative description of a person's health status is obtained, thus forming the critical aspects for the early treatment of several diseases. Thereby, correct classif...

Improved SSD network for fast concealed object detection and recognition in passive terahertz security images.

Scientific reports
With the strengthening of global anti-terrorist measures, it is increasingly important to conduct security checks in public places to detect concealed objects carried by the human body. Research in recent years has shown that deep learning is helpful...

Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation.

Journal of medical Internet research
BACKGROUND: Diabetes is a public health problem worldwide. Although diabetes is a chronic and incurable disease, measures and treatments can be taken to control it and keep the patient stable. Diabetes has been the subject of extensive research, rang...