AIMC Topic: Data Collection

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Deep Learning-Based Indoor Localization Using Multi-View BLE Signal.

Sensors (Basel, Switzerland) Apr 2, 2022
In this paper, we present a novel Deep Neural Network-based indoor localization method that estimates the position of a Bluetooth Low Energy (BLE) transmitter (tag) by using the received signals' characteristics at multiple Anchor Points (APs). We us...
Neural Networks, Computer Algorithms Deep Learning Data Collection Wireless Technology
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State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere.

Sensors (Basel, Switzerland) Apr 2, 2022
Recovering and distinguishing different ionospheric layers and signals usually requires slow and complicated procedures. In this work, we construct and train five convolutional neural network (CNN) models: DeepLab, fully convolutional DenseNet24 (FC-...
Neural Networks, Computer Image Processing, Computer-Assisted Taiwan Data Collection Signal-To-Noise Ratio
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Classification of ransomware using different types of neural networks.

Scientific reports Mar 19, 2022
Malware threat the security of computers and Internet. Among the diversity of malware, we have "ransomware". Its main objective is to prevent and block access to user data and computers in exchange for a ransom, once paid, the data will be liberated....
Neural Networks, Computer Machine Learning Internet Data Collection
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A BERT based dual-channel explainable text emotion recognition system.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2022
In this paper, a novel dual-channel system for multi-class text emotion recognition has been proposed, and a novel technique to explain its training & predictions has been developed. The architecture of the proposed system contains the embedding modu...
Neural Networks, Computer Language Emotions Data Collection
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Deep learning-based methods for natural hazard named entity recognition.

Scientific reports Mar 17, 2022
Natural hazard named entity recognition is a technique used to recognize natural hazard entities from a large number of texts. The method of natural hazard named entity recognition can facilitate acquisition of natural hazards information and provide...
Electronic Health Records Language Deep Learning Natural Language Processing Data Collection Names
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BC-DUnet-based segmentation of fine cracks in bridges under a complex background.

PloS one Mar 15, 2022
Crack is the external expression form of potential safety risks in bridge construction. Currently, automatic detection and segmentation of bridge cracks remains the top priority of civil engineers. With the development of image segmentation technique...
Neural Networks, Computer Image Processing, Computer-Assisted Data Collection
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A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2022
The first-order optimizers in deep neural networks (DNN) are of pivotal essence for a concrete loss function to reach the local minimum or global one on the loss surface within convergence time. However, each optimizer possesses its own superiority a...
Neural Networks, Computer Algorithms Data Collection Acceleration
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Short-Text Classification Detector: A Bert-Based Mental Approach.

Computational intelligence and neuroscience Mar 10, 2022
With the continuous development of the Internet, social media based on short text has become popular. However, the sparsity and shortness of essays will restrict the accuracy of text classification. Therefore, based on the Bert model, we capture the ...
Humans Neural Networks, Computer Machine Learning Algorithms Support Vector Machine Data Collection
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Image Synthesis Pipeline for CNN-Based Sensing Systems.

Sensors (Basel, Switzerland) Mar 8, 2022
The rapid development of machine learning technologies in recent years has led to the emergence of CNN-based sensors or ML-enabled smart sensor systems, which are intensively used in medical analytics, unmanned driving of cars, Earth sensing, etc. In...
Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Data Collection
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Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification.

Sensors (Basel, Switzerland) Feb 28, 2022
As a research hotspot in the field of natural language processing (NLP), sentiment analysis can be roughly divided into explicit sentiment analysis and implicit sentiment analysis. However, due to the lack of obvious emotion words in the implicit sen...
Language Emotions Natural Language Processing Data Collection Attitude
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