AIMC Topic: Data Collection

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Bridge crack detection based on improved single shot multi-box detector.

PloS one Oct 4, 2022
Owing to the development of computerized vision technology, object detection based on convolutional neural networks is being widely used in the field of bridge crack detection. However, these networks have limited utility in bridge crack detection be...
Neural Networks, Computer Learning Data Collection
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Research on the Predictive Analysis of Park Landscape Design and Cost Based on RNN Model.

Computational intelligence and neuroscience Sep 30, 2022
As people's awareness of the environment gradually increases and their requirements for the comfort of living space become higher, landscape design has also ushered in a golden period of development. With the increasing investment in landscape constr...
Neural Networks, Computer Algorithms Data Collection
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ConcentrateNet: Multi-Scale Object Detection Model for Advanced Driving Assistance System Using Real-Time Distant Region Locating Technique.

Sensors (Basel, Switzerland) Sep 28, 2022
This paper proposes a deep learning based object detection method to locate a distant region in an image in real-time. It concentrates on distant objects from a vehicular front camcorder perspective, trying to solve one of the common problems in Adva...
Humans Neural Networks, Computer Chronic Disease Data Collection Automobile Driving
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Rotating Single-Antenna Spoofing Signal Detection Method Based on IPNN.

Sensors (Basel, Switzerland) Sep 21, 2022
The traditional carrier-phase differential detection technology mainly relies on the spatial processing method, which uses antenna arrays or moving antennas to detect spoofing signals, but it cannot be applied to static single-antenna receivers. Aimi...
Neural Networks, Computer Technology Models, Statistical Data Collection
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Intelligent Detection of Hazardous Goods Vehicles and Determination of Risk Grade Based on Deep Learning.

Sensors (Basel, Switzerland) Sep 20, 2022
Currently, deep learning has been widely applied in the field of object detection, and some relevant scholars have applied it to vehicle detection. In this paper, the deep learning EfficientDet model is analyzed, and the advantages of the model in th...
Neural Networks, Computer Algorithms Deep Learning Data Collection
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Improving the Accuracy of an R-CNN-Based Crack Identification System Using Different Preprocessing Algorithms.

Sensors (Basel, Switzerland) Sep 19, 2022
The accurate intelligent identification and detection of road cracks is a key issue in road maintenance, and it has become popular to perform this task through the field of computer vision. In this paper, we proposed a deep learning-based crack detec...
Neural Networks, Computer Algorithms Data Collection
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Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM.

Sensors (Basel, Switzerland) Sep 19, 2022
Aeroengine working condition recognition is a pivotal step in engine fault diagnosis. Currently, most research on aeroengine condition recognition focuses on the stable condition. To identify the aeroengine working conditions including transition con...
Neural Networks, Computer Algorithms Data Collection Recognition, Psychology
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Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy.

PloS one Sep 7, 2022
The continued urbanization poses several challenges for law enforcement agencies to ensure a safe and secure environment. Countries are spending a substantial amount of their budgets to control and prevent crime. However, limited efforts have been ma...
Forecasting Deep Learning Models, Statistical Data Collection Crime
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Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning.

Sensors (Basel, Switzerland) Aug 31, 2022
Currently, Android is the most popular operating system among mobile devices. However, as the number of devices with the Android operating system increases, so does the danger of using them. This is especially important as smartphones increasingly au...
Neural Networks, Computer Machine Learning Software Smartphone Data Collection
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A Machine Learning Approach to Improve Ranging Accuracy with AoA and RSSI.

Sensors (Basel, Switzerland) Aug 25, 2022
Ranging accuracy is a critical parameter in time-based indoor positioning systems. Indoor environments often have complex structures, which make centimeter-level-accurate ranging a challenging task. This study proposes a new distance measurement meth...
Neural Networks, Computer Machine Learning Data Collection
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