AI Medical Compendium Topic

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Intelligence

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Rapid Progress in Intelligent Radiotherapy and Future Implementation.

Cancer investigation
Radiotherapy is one of the major approaches to cancer treatment. Artificial intelligence in radiotherapy (shortly, Intelligent radiotherapy) mainly involves big data, deep learning, extended reality, digital twin, radiomics, Internet plus and Interne...

Network Traffic Prediction Incorporating Prior Knowledge for an Intelligent Network.

Sensors (Basel, Switzerland)
Network traffic prediction is an important tool for the management and control of IoT, and timely and accurate traffic prediction models play a crucial role in improving the IoT service quality. The degree of burstiness in intelligent network traffic...

A Systematic Literature Review on Distributed Machine Learning in Edge Computing.

Sensors (Basel, Switzerland)
Distributed edge intelligence is a disruptive research area that enables the execution of machine learning and deep learning (ML/DL) algorithms close to where data are generated. Since edge devices are more limited and heterogeneous than typical clou...

Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain.

Sensors (Basel, Switzerland)
Most cross-domain intelligent diagnosis approaches presume that the health states in training datasets are consistent with those in testing. However, it is usually difficult and expensive to collect samples under all failure states during the trainin...

Fuzzy Cognitive Maps with Bird Swarm Intelligence Optimization-Based Remote Sensing Image Classification.

Computational intelligence and neuroscience
Remote sensing image (RSI) scene classification has become a hot research topic due to its applicability in different domains such as object recognition, land use classification, image retrieval, and surveillance. During RSI classification process, a...

Analysis Model of Spoken English Evaluation Algorithm Based on Intelligent Algorithm of Internet of Things.

Computational intelligence and neuroscience
With the in-depth promotion of the national strategy for the integration of artificial intelligence technology and entity development, speech recognition processing technology, as an important medium of human-computer interaction, has received extens...

The Impact of Wireless Network Mobile Devices on College Students' Labour Concept Education in Artificial Intelligence Environment.

Computational intelligence and neuroscience
To cultivate correct labour values and good labour quality of college students and effectively promote the development of their labour concept education, this work explores the impact of wireless network mobile devices on college students' labour con...

Design and Implementation of IoT Data-Driven Intelligent Law Classroom Teaching System.

Computational intelligence and neuroscience
In this paper, we conduct in-depth research and analysis by building an IoT data-driven intelligent law classroom teaching system and implementing it in the actual teaching process. Firstly, the application requirements and main functions of the clas...

An Intelligent Classification Method of Multisource Enterprise Financial Data Based on SAS Model.

Computational intelligence and neuroscience
An enterprise is often faced with a large amount of financial information and data information. It is inefficient to rely solely on manual work, and the accuracy is difficult to guarantee. For the multisource data of corporate finance, it is more dif...

Osmotic Cloud-Edge Intelligence for IoT-Based Cyber-Physical Systems.

Sensors (Basel, Switzerland)
Artificial Intelligence (AI) in Cyber-Physical Systems allows machine learning inference on acquired data with ever greater accuracy, thanks to models trained with massive amounts of information generated by Internet of Things devices. Edge Intellige...