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Wireless Technology

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Cognitive Heterogeneous Wireless Network and Artificial Intelligence-Based Supply Chain Efficiency Optimization Application.

Computational intelligence and neuroscience
Cognitive radio can specifically perceive the surrounding environment, can understand and learn the changes in the surrounding environment, and can adjust its own adaptation method, channel calculation, and other transmission parameters at any time. ...

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...

The Impact of the Live Delivery of Goods on Consumers' Purchasing Behaviour in Complex Situations Based on Artificial Intelligence Technology.

Computational intelligence and neuroscience
With the development of information technology, the purchase of goods online has acquired a different dimension. This type of online purchase has made life easier for individuals by reducing the time required to travel and purchase. This online purch...

Expedite Quantification of Landslides Using Wireless Sensors and Artificial Intelligence for Data Controlling Practices.

Computational intelligence and neuroscience
The power of wireless network sensor technologies has enabled the development of large-scale in-house monitoring systems. The sensor may play a big part in landslide forecasting where the sensor linked to the WLAN protocol can usefully map, detect, a...

Texture Image Classification Based on Deep Learning and Wireless Sensor Technology.

Computational intelligence and neuroscience
The main purpose of the object detection process is to determine the category of the scene object and use the display 3D and 3D frame size. At present, in the case of 3D object detection, we can extract more accurate features by learning a large numb...

Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning.

Computational intelligence and neuroscience
Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the perspective of regional environmental nuclear radiation monitoring, it is of great practical significance to establish a scientific and reliable wirel...

AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network.

Scientific reports
Momentous increase in the popularity of explainable machine learning models coupled with the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient machine learning model for fast intrusion detection and prevention ...

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques.

Sensors (Basel, Switzerland)
Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Among the variety of wireless technology, Wi-Fi surely plays a leading role, especially in local area networks. The spread of mobiles and tablets, and m...

Reinforcement Learning Environment for Advanced Vehicular Ad Hoc Networks Communication Systems.

Sensors (Basel, Switzerland)
Ad hoc vehicular networks have been identified as a suitable technology for intelligent communication amongst smart city stakeholders as the intelligent transportation system has progressed. However, in a highly mobile area, the growing usage of wire...

A Novel Deep Learning-Based Cooperative Communication Channel Model for Wireless Underground Sensor Networks.

Sensors (Basel, Switzerland)
Wireless Underground Sensor Networks (WUSNs) have been showing prospective supervising application domains in the underground region of the earth through sensing, computation, and communication. This paper presents a novel Deep Learning (DL)-based Co...