AIMC Topic: Algorithms

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Cellular Network Power Allocation Algorithm Based on Deep Reinforcement Learning and Artificial Intelligence.

Computational intelligence and neuroscience
In the shortest path planning problem, the old algorithm usually has many defects, such as the robot's cognition being contrary to reality, the lack of practical operation feasibility, or the limitation of problem processing. Nowadays, with deep lear...

The Management of Educational Talents in Vocational Colleges Based on Wireless Network in the Artificial Intelligence Era.

Computational intelligence and neuroscience
Faced with the AI (artificial intelligence) era, it is both theoretically and practically important to examine the challenges and opportunities that vocational college education in China faces, as well as to actively explore how vocational college ed...

A Micro Neural Network for Healthcare Sensor Data Stream Classification in Sustainable and Smart Cities.

Computational intelligence and neuroscience
A smart city is an intelligent space, in which large amounts of data are collected and analyzed using low-cost sensors and automatic algorithms. The application of artificial intelligence and Internet of Things (IoT) technologies in electronic health...

Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation.

Computational intelligence and neuroscience
Given the need for quantitative measurement and 3D visualisation of brain tumours, more and more attention has been paid to the automatic segmentation of tumour regions from brain tumour magnetic resonance (MR) images. In view of the uneven grey dist...

Application of Recurrent Neural Network Algorithm in Intelligent Detection of Clinical Ultrasound Images of Human Lungs.

Computational intelligence and neuroscience
Lung ultrasound has great application value in the differential diagnosis of pulmonary exudative lesions. It has good sensitivity and specificity for the diagnosis of various pulmonary diseases in neonates and children. It is believed that it can rep...

A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection.

Computational intelligence and neuroscience
Cancer has been found as a heterogeneous disease with various subtypes and aims to destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis the distinct type of cancer since they may help cancer survivors with tr...

A Prediction Model of Human Resources Recruitment Demand Based on Convolutional Collaborative BP Neural Network.

Computational intelligence and neuroscience
This paper presents an in-depth study and analysis of the prediction model of force resource recruitment demand using a convolutional neural network combined with a BP neural network algorithm. BP neural network technology is introduced to be applied...

A Computational Intelligence Model for Legal Prediction and Decision Support.

Computational intelligence and neuroscience
Legal judgment prediction (LJP) and decision support aim to enable machines to predict the verdict of legal cases after reading the description of facts, which is an application of artificial intelligence in the legal field. This paper proposes a leg...

5G Traffic Prediction Based on Deep Learning.

Computational intelligence and neuroscience
The demand of wireless access users is increasing explosively. The 5G network traffic is increasing exponentially and showing a trend of diversity and heterogeneity, which makes network traffic forecasting face many challenges. By studying the actual...

Artificial Neural Network Model for Indoor Decoration Intelligence Calculation and Automation Design.

Computational intelligence and neuroscience
With the continuous development of science and technology, the indoor decoration industry has gradually changed toward mechanization, specialization, and intelligent direction. Based on the predecessor research, this study proposes an artificial neur...