AIMC Topic: Data Collection

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Small UAS Online Audio DOA Estimation and Real-Time Identification Using Machine Learning.

Sensors (Basel, Switzerland) Nov 9, 2022
The wide range of unmanned aerial system (UAS) applications has led to a substantial increase in their numbers, giving rise to a whole new area of systems aiming at detecting and/or mitigating their potentially unauthorized activities. The majority o...
Machine Learning Acoustics Data Collection
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Framework for Vehicle Make and Model Recognition-A New Large-Scale Dataset and an Efficient Two-Branch-Two-Stage Deep Learning Architecture.

Sensors (Basel, Switzerland) Nov 2, 2022
In recent years, Vehicle Make and Model Recognition (VMMR) has attracted a lot of attention as it plays a crucial role in Intelligent Transportation Systems (ITS). Accurate and efficient VMMR systems are required in real-world applications including ...
Research Deep Learning Intelligence Models, Biological Data Collection
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Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers-A Systematic Literature Review.

Sensors (Basel, Switzerland) Nov 1, 2022
: The planetary rover is an essential platform for planetary exploration. Visual semantic segmentation is significant in the localization, perception, and path planning of the rover autonomy. Recent advances in computer vision and artificial intellig...
Artificial Intelligence Publications Data Collection Semantics
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A Deep Learning Framework for Accurate Vehicle Yaw Angle Estimation from a Monocular Camera Based on Part Arrangement.

Sensors (Basel, Switzerland) Oct 20, 2022
An accurate object pose is essential to assess its state and predict its movements. In recent years, scholars have often predicted object poses by matching an image with a virtual 3D model or by regressing the six-degree-of-freedom pose of the target...
Deep Learning Data Collection Automobile Driving Movement
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Sentiment Classification of Chinese Tourism Reviews Based on ERNIE-Gram+GCN.

International journal of environmental research and public health Oct 19, 2022
Nowadays, tourists increasingly prefer to check the reviews of attractions before traveling to decide whether to visit them or not. To respond to the change in the way tourists choose attractions, it is important to classify the reviews of attraction...
China Data Collection Tourism Sentiment Analysis
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Collaborative Damage Detection Framework for Rail Structures Based on a Multi-Agent System Embedded with Soft Multi-Functional Sensors.

Sensors (Basel, Switzerland) Oct 14, 2022
With the rapid growth of railways in China, the focus has changed to the maintenance of large-scale rail structures. Multi-agent systems (MASs) based on wireless sensor network (WSNs) with soft multi-functional sensors (SMFS) are adopted cooperativel...
Humans Neural Networks, Computer Algorithms China Data Collection Wireless Technology
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Research of Maritime Object Detection Method in Foggy Environment Based on Improved Model SRC-YOLO.

Sensors (Basel, Switzerland) Oct 13, 2022
An improved maritime object detection algorithm, SRC-YOLO, based on the YOLOv4-tiny, is proposed in the foggy environment to address the issues of false detection, missed detection, and low detection accuracy in complicated situations. To confirm the...
Neural Networks, Computer Algorithms Weather Data Collection Records
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Improving Misfire Fault Diagnosis with Cascading Architectures via Acoustic Vehicle Characterization.

Sensors (Basel, Switzerland) Oct 12, 2022
In a world dependent on road-based transportation, it is essential to understand automobiles. We propose an acoustic road vehicle characterization system as an integrated approach for using sound captured by mobile devices to enhance transparency and...
Neural Networks, Computer Reproducibility of Results Automobiles Acoustics Data Collection
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Automated Cognitive Health Assessment Using Partially Complete Time Series Sensor Data.

Methods of information in medicine Oct 11, 2022
BACKGROUND: Behavior and health are inextricably linked. As a result, continuous wearable sensor data offer the potential to predict clinical measures. However, interruptions in the data collection occur, which create a need for strategic data imputa...
Humans Machine Learning Algorithms Time Factors Cognition Data Collection
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A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images.

Sensors (Basel, Switzerland) Oct 8, 2022
Building segmentation is crucial for applications extending from map production to urban planning. Nowadays, it is still a challenge due to CNNs' inability to model global context and Transformers' high memory need. In this study, 10 CNN and Transfor...
Neural Networks, Computer Image Processing, Computer-Assisted Data Collection
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