AIMC Topic: Research Design

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Short-Term Demand Forecasting Method in Power Markets Based on the KSVM-TCN-GBRT.

Computational intelligence and neuroscience Apr 30, 2022
With the consumption of new energy and the variability of user activity, accurate and fast demand forecasting plays a crucial role in modern power markets. This paper considers the correlation between temperature, wind speed, and real-time electricit...
Forecasting Research Design Wind Support Vector Machine Electricity
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Computational Intelligence for Observation and Monitoring: A Case Study of Imbalanced Hyperspectral Image Data Classification.

Computational intelligence and neuroscience Apr 30, 2022
Imbalance in hyperspectral images creates a crisis in its analysis and classification operation. Resampling techniques are utilized to minimize the data imbalance. Although only a limited number of resampling methods were explored in the previous res...
Humans Artificial Intelligence Machine Learning Research Design
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Improved Deep Neural Network for Cross-Media Visual Communication.

Computational intelligence and neuroscience Apr 30, 2022
Cross-media visual communication is an extremely complex task. In order to solve the problem of segmentation of visual foreground and background, improve the accuracy of visual communication scene reconstruction, and complete the task of visual real-...
Neural Networks, Computer Machine Learning Research Design Communication Image Processing, Computer-Assisted
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Single Neuron for Solving XOR like Nonlinear Problems.

Computational intelligence and neuroscience Apr 28, 2022
XOR is a special nonlinear problem in artificial intelligence (AI) that resembles multiple real-world nonlinear data distributions. A multiplicative neuron model can solve these problems. However, the multiplicative model has the indigenous problem o...
Artificial Intelligence Research Design Neurons
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Research on recognition and classification of pulse signal features based on EPNCC.

Scientific reports Apr 25, 2022
To rapidly obtain the complete characterization information of pulse signals and to verify the sensitivity and validity of pulse signals in the clinical diagnosis of related diseases. In this paper, an improved PNCC method is proposed as a supplement...
Neural Networks, Computer Research Design Databases, Factual Electrocardiography Heart Rate
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Clinical Machine Learning Modeling Studies: Methodology and Data Reporting.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Apr 19, 2022
Humans Machine Learning Research Design
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Deep Learning Approach to UAV Detection and Classification by Using Compressively Sensed RF Signal.

Sensors (Basel, Switzerland) Apr 16, 2022
Recently, the frequent occurrence of the misuse and intrusion of UAVs has made it a research challenge to identify and detect them effectively, and relatively high bandwidth and pressure on data transmission and real-time processing exist when sampli...
Neural Networks, Computer Algorithms Research Design Deep Learning Data Collection
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Deep Learning-Based Medical Information System in First Aid of Surgical Trauma.

Computational and mathematical methods in medicine Apr 16, 2022
The aim of this study was to explore the application of process reengineering integration in trauma first aid based on deep learning and medical information system. According to the principles and methods of process reengineering, based on the analys...
Humans Research Design Deep Learning Information Systems First Aid
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A Multitask Deep Learning Framework for DNER.

Computational intelligence and neuroscience Apr 16, 2022
Over the years, the explosive growth of drug-related text information has resulted in heavy loads of work for manual data processing. However, the domain knowledge hidden is believed to be crucial to biomedical research and applications. In this arti...
Neural Networks, Computer Research Design Deep Learning
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Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey.

Sensors (Basel, Switzerland) Apr 15, 2022
Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving 5G and 6G networks. A 5G/6G network can comprise various network slices from unique or multiple tenants. Network providers need to perform intelligent and efficien...
Neural Networks, Computer Algorithms Research Design Learning
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