AIMC Topic: Data Collection

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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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A Comparison on LSTM Deep Learning Method and Random Walk Model Used on Financial and Medical Applications: An Example in COVID-19 Development Prediction.

Computational intelligence and neuroscience Aug 23, 2022
This study aims to establish the model of the cryptocurrency price trend based on a financial theory using the Long Short-Term Memory (LSTM) networks model with multiple combinations between the window length and the predicting horizons. The Random W...
Humans Neural Networks, Computer COVID-19 Deep Learning Data Collection
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A data-centric weak supervised learning for highway traffic incident detection.

Accident; analysis and prevention Aug 19, 2022
Using the data from loop detector sensors for near-real-time detection of traffic incidents on highways is crucial to averting major traffic congestion. While recent supervised machine learning methods offer solutions to incident detection by leverag...
Humans Support Vector Machine Accidents, Traffic Supervised Machine Learning Data Collection
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How do providers of artificial intelligence (AI) solutions propose and legitimize the values of their solutions for supporting diagnostic radiology workflow? A technography study in 2021.

European radiology Aug 18, 2022
OBJECTIVES: How do providers of artificial intelligence (AI) solutions propose and legitimize the values of their solutions for supporting diagnostic radiology workflow?
Humans Artificial Intelligence Radiography Radiology Workflow Data Collection
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