AIMC Topic: Technology

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Security Requirements and Challenges of 6G Technologies and Applications.

Sensors (Basel, Switzerland)
After implementing 5G technology, academia and industry started researching 6th generation wireless network technology (6G). 6G is expected to be implemented around the year 2030. It will offer a significant experience for everyone by enabling hyper-...

5G Massive MIMO Signal Detection Algorithm Based on Deep Learning.

Computational intelligence and neuroscience
Aiming at the problems of poor signal detection effect caused by many interference factors in large-scale MIMO technology scene, this paper proposes a 5G massive MIMO signal detection algorithm based on deep learning. Firstly, the MIMO system model b...

Technology Matters: Machine learning approaches to personalised child and adolescent mental health care.

Child and adolescent mental health
There has been much interest in the potential for machine learning and artificial intelligence to enhance health care. In this article, we discuss the potential applications of the technology to child and adolescent mental health services (CAMHS). We...

The Application of Computer-Based Multimedia Technology in Cognitive Computing.

Computational intelligence and neuroscience
With the continuous development of science and technology, people's research on computer-related technologies is gradually deepening. The proposal of artificial intelligence makes the research of intelligent AI in urgent need for seeking breakthrough...

A Study on the Application of Distributed System Technology-Guided Machine Learning in Malware Detection.

Computational intelligence and neuroscience
In recent years, with the development of information technology, the Internet has become an essential tool for human daily life. However, as the popularity and scale of the Internet continue to expand, malware has also emerged as an increasingly wide...

A Fairness of Data Combination in Wireless Packet Scheduling.

Sensors (Basel, Switzerland)
With the proliferation of artificial intelligence (AI) technology, the function of AI in a sixth generation (6G) environment is likely to come into play on a large scale. Moreover, in recent years, with the rapid advancement in AI technology, the eth...

Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology.

Dento maxillo facial radiology
OBJECTIVE: The purpose of this study was to establish a deep-learning model for segmenting the cervical lymph nodes of oral cancer patients and diagnosing metastatic or non-metastatic lymph nodes from contrast-enhanced computed tomography (CT) images...

Hybrid Virtual Commissioning of a Robotic Manipulator with Machine Vision Using a Single Controller.

Sensors (Basel, Switzerland)
Digital twin (DT) is an emerging key technology that enables sophisticated interaction between physical objects and their virtual replicas, with applications in almost all engineering fields. Although it has recently gained significant attraction in ...

Application of Deep Learning Technology in Glioma.

Journal of healthcare engineering
A common and most basic brain tumor is glioma that is exceptionally dangerous to health of various patients. A glioma segmentation, which is primarily magnetic resonance imaging (MRI) oriented, is considered as one of common tools developed for docto...

Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey.

Sensors (Basel, Switzerland)
Transfer learning is a pervasive technology in computer vision and natural language processing fields, yielding exponential performance improvements by leveraging prior knowledge gained from data with different distributions. However, while recent wo...