AIMC Topic: Research Design

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Inference-Based Posteriori Parameter Distribution Optimization.

IEEE transactions on cybernetics May 19, 2022
Encouraging the agent to explore has always been an important and challenging topic in the field of reinforcement learning (RL). Distributional representation for network parameters or value functions is usually an effective way to improve the explor...
Neural Networks, Computer Algorithms Research Design Learning Reinforcement, Psychology
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Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

BMJ (Clinical research ed.) May 18, 2022
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico, evaluation, but few have yet demonstrated real benefit to patient care. Early stage clinical evaluat...
Humans Artificial Intelligence Research Design Decision Support Systems, Clinical Research Report
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Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI.

Nature medicine May 18, 2022
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico evaluation, but few have yet demonstrated real benefit to patient care. Early-stage clinical evaluati...
Humans Artificial Intelligence Research Design Consensus Research Report Checklist
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Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies.

Radiology May 17, 2022
Rapid advances in automated methods for extracting large numbers of quantitative features from medical images have led to tremendous growth of publications reporting on radiomic analyses. Translation of these research studies into clinical practice c...
Humans Machine Learning Research Design Radiology Bias
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A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures.

Sensors (Basel, Switzerland) May 12, 2022
This paper proposes a new technique for the construction of a concrete-beam health indicator based on the Kullback-Leibler divergence (KLD) and deep learning. Health indicator (HI) construction is a vital part of remaining useful lifetime (RUL) appro...
Neural Networks, Computer Research Design Prognosis Reproducibility of Results Deep Learning
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An improved genetic algorithm and its application in neural network adversarial attack.

PloS one May 5, 2022
The choice of crossover and mutation strategies plays a crucial role in the searchability, convergence efficiency and precision of genetic algorithms. In this paper, a novel improved genetic algorithm is proposed by improving the crossover and mutati...
Neural Networks, Computer Algorithms Research Design Intelligence Statistics, Nonparametric
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A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding.

PloS one May 5, 2022
With the development of the Internet of Vehicles (IoV), attacks to the vehicle-mounted control area network (CAN) have seriously jeopardized the security of automobiles. As an important security measure, intrusion detection technologies have aroused ...
Neural Networks, Computer Software Research Design Internet Security Measures
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Task allocation in multi-robot system using resource sharing with dynamic threshold approach.

PloS one May 4, 2022
Task allocation is a fundamental requirement for multi-robot systems working in dynamic environments. An efficient task allocation algorithm allows the robots to adjust their behavior in response to environmental changes such as fault occurrences, or...
Algorithms Research Design Robotics
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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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