AIMC Topic: Cloud Computing

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Network Intrusion Detection Method Combining CNN and BiLSTM in Cloud Computing Environment.

Computational intelligence and neuroscience
A network intrusion detection method combining CNN and BiLSTM network is proposed. First, the KDD CUP 99 data set is preprocessed by using data extraction algorithm. The data set is transformed into image data set by data cleaning, data extraction, a...

Deep Neural Network for Point Sets Based on Local Feature Integration.

Sensors (Basel, Switzerland)
The research of object classification and part segmentation is a hot topic in computer vision, robotics, and virtual reality. With the emergence of depth cameras, point clouds have become easier to collect and increasingly important because of their ...

Psychosocial Factors and Psychological Characteristics of Personality of Patients with Chronic Diseases Using Artificial Intelligence Data Mining Technology and Wireless Network Cloud Service Platform.

Computational intelligence and neuroscience
It was to explore the application value of health cloud service platform based on data mining algorithm and wireless network in the analysis of psychosocial factors and psychological characteristics of personality of patients with chronic diseases. B...

End-to-End Lip-Reading Open Cloud-Based Speech Architecture.

Sensors (Basel, Switzerland)
Deep learning technology has encouraged research on noise-robust automatic speech recognition (ASR). The combination of cloud computing technologies and artificial intelligence has significantly improved the performance of open cloud-based speech rec...

A Three-Stage Dynamic Assessment Framework for Industrial Control System Security Based on a Method of W-HMM.

Sensors (Basel, Switzerland)
Industrial control systems (ICS) are applied in many fields. Due to the development of cloud computing, artificial intelligence, and big data analysis inducing more cyberattacks, ICS always suffers from the risks. If the risks occur during system ope...

An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning.

Computational intelligence and neuroscience
In order to improve the effect of intelligent teaching and give full play to the role of intelligent technology in modern physical education, in this paper, cloud computing and deep learning methods are used to comprehensively evaluate the teaching e...

Industry 4.0 Technologies Applied to the Rail Transportation Industry: A Systematic Review.

Sensors (Basel, Switzerland)
BACKGROUND: Industry 4.0 technologies have been widely used in the railway industry, focusing mainly on maintenance and control tasks necessary in the railway infrastructure. Given the great potential that these technologies offer, the scientific com...

Contextualized Design of IoT (Internet of Things) Finance for Edge Artificial Intelligence Computing.

Computational intelligence and neuroscience
With the widespread application of IoT technology in the world, the new industry of IoT finance has emerged. Under this new business model, commercial banks and other financial institutions can realize safer and more convenient financial services suc...

Cereal grain 3D point cloud analysis method for shape extraction and filled/unfilled grain identification based on structured light imaging.

Scientific reports
Cereals are the main food for mankind. The grain shape extraction and filled/unfilled grain recognition are meaningful for crop breeding and genetic analysis. The conventional measuring method is mainly manual, which is inefficient, labor-intensive a...

New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities.

Journal of healthcare engineering
Revolution in healthcare can be experienced with the advancement of smart sensorial things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Medical Things (IoMT), and edge analytics with the integration of cloud c...