AIMC Topic: Data Collection

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In-depth evaluation of machine learning methods for semi-automating article screening in a systematic review of mechanistic literature.

Research synthesis methods Jul 23, 2022
We aimed to evaluate the performance of supervised machine learning algorithms in predicting articles relevant for full-text review in a systematic review. Overall, 16,430 manually screened titles/abstracts, including 861 references identified releva...
Machine Learning Algorithms Sensitivity and Specificity Bayes Theorem Data Collection
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Explainable Artificial Intelligence-Based IoT Device Malware Detection Mechanism Using Image Visualization and Fine-Tuned CNN-Based Transfer Learning Model.

Computational intelligence and neuroscience Jul 15, 2022
Automated malware detection is a prominent issue in the world of network security because of the rising number and complexity of malware threats. It is time-consuming and resource intensive to manually analyze all malware files in an application usin...
Artificial Intelligence Machine Learning Data Collection
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A Novel Method for Improved Network Traffic Prediction Using Enhanced Deep Reinforcement Learning Algorithm.

Sensors (Basel, Switzerland) Jul 2, 2022
Network data traffic is increasing with expanded networks for various applications, with text, image, audio, and video for inevitable needs. Network traffic pattern identification and analysis of traffic of data content are essential for different ne...
Neural Networks, Computer Algorithms Research Design Deep Learning Data Collection
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Sentiment Analysis of Image with Text Caption using Deep Learning Techniques.

Computational intelligence and neuroscience Jun 25, 2022
People are actively expressing their views and opinions via the use of visual pictures and text captions on social media platforms, rather than just publishing them in plain text as a consequence of technical improvements in this field. With the adve...
Humans Deep Learning Social Media Data Collection Sentiment Analysis
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Deep Learning-Based Vehicle Classification for Low Quality Images.

Sensors (Basel, Switzerland) Jun 23, 2022
This study proposes a simple convolutional neural network (CNN)-based model for vehicle classification in low resolution surveillance images collected by a standard security camera installed distant from a traffic scene. In order to evaluate its effe...
Neural Networks, Computer Deep Learning Data Collection
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A Neural Network Model for Digitizing Enterprise Carbon Assets Based on Multimodal Knowledge Mapping.

Computational intelligence and neuroscience Jun 20, 2022
In this paper, a multimodal knowledge mapping approach is used to digitize enterprise carbon assets, and a corresponding neural network model is designed for use in the practical process. Rich textual entity labels associated with images are obtained...
Neural Networks, Computer Carbon Data Mining Data Collection Semantics
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Few-Shot Emergency Siren Detection.

Sensors (Basel, Switzerland) Jun 8, 2022
It is a well-established practice to build a robust system for sound event detection by training supervised deep learning models on large datasets, but audio data collection and labeling are often challenging and require large amounts of effort. This...
Neural Networks, Computer Sound Data Collection Time Ambulances
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Beyond standard data collection - the promise and potential of BRAIN (Brain tumour Registry Australia INnovation and translation registry).

BMC cancer Jun 2, 2022
BACKGROUND: Real-world data (RWD) is increasingly being embraced as an invaluable source of information to address clinical and policy-relevant questions that are unlikely to ever be answered by clinical trials. However, the largely unrealised potent...
Humans Artificial Intelligence Prospective Studies Brain Neoplasms Registries Data Collection Victoria
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Towards artificial general intelligence via a multimodal foundation model.

Nature communications Jun 2, 2022
The fundamental goal of artificial intelligence (AI) is to mimic the core cognitive activities of human. Despite tremendous success in the AI research, most of existing methods have only single-cognitive ability. To overcome this limitation and take ...
Humans Artificial Intelligence Intelligence Data Collection
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A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests.

Computational intelligence and neuroscience May 26, 2022
Diseases and pests are essential threat factors that affect agricultural production, food security supply, and ecological plant diversity. However, the accurate recognition of various diseases and pests is still challenging for existing advanced info...
Neural Networks, Computer Data Collection Semantics
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