AIMC Topic: Data Collection

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A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation.

Sensors (Basel, Switzerland) Dec 29, 2021
The fault detection of manned submersibles plays a very important role in protecting the safety of submersible equipment and personnel. However, the diving sensor data is scarce and high-dimensional, so this paper proposes a submersible fault detecti...
Neural Networks, Computer Algorithms Data Collection
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NoAS-DS: Neural optimal architecture search for detection of diverse DNA signals.

Neural networks : the official journal of the International Neural Network Society Dec 23, 2021
Neural network architectures are high-performing variable models that can solve many learning tasks. Designing architectures manually require substantial time and also prior knowledge and expertise to develop a high-accuracy model. Most of the archit...
Neural Networks, Computer Image Processing, Computer-Assisted DNA Data Collection Generalization, Psychological
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A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning-Based Risk Prediction Models.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Dec 22, 2021
OBJECTIVES: We propose a framework of health outcomes modeling with dynamic decision making and real-world data (RWD) to evaluate the potential utility of novel risk prediction models in clinical practice. Lung transplant (LTx) referral decisions in ...
Humans Machine Learning Research Design Risk Assessment Longitudinal Studies Forced Expiratory Volume Lung Transplantation Tissue and Organ Procurement Outcome Assessment, Health Care Data Collection Cystic Fibrosis Referral and Consultation Survival Analysis
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Clustering by Errors: A Self-Organized Multitask Learning Method for Acoustic Scene Classification.

Sensors (Basel, Switzerland) Dec 22, 2021
Acoustic scene classification (ASC) tries to inference information about the environment using audio segments. The inter-class similarity is a significant issue in ASC as acoustic scenes with different labels may sound quite similar. In this paper, t...
Neural Networks, Computer Learning Cluster Analysis Acoustics Data Collection
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Malicious Code Variant Identification Based on Multiscale Feature Fusion CNNs.

Computational intelligence and neuroscience Dec 14, 2021
The increasing volume and types of malwares bring a great threat to network security. The malware binary detection with deep convolutional neural networks (CNNs) has been proved to be an effective method. However, the existing malware classification ...
Humans Neural Networks, Computer Data Collection
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Runoff forecasting model based on variational mode decomposition and artificial neural networks.

Mathematical biosciences and engineering : MBE Dec 13, 2021
Accurate runoff forecasting plays a vital role in water resource management. Therefore, various forecasting models have been proposed in the literature. Among them, the decomposition-based models have proved their superiority in runoff series forecas...
Neural Networks, Computer Forecasting China Data Collection Rivers
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A Novel Hybrid NN-ABPE-Based Calibration Method for Improving Accuracy of Lateration Positioning System.

Sensors (Basel, Switzerland) Dec 8, 2021
Positioning systems based on the lateration method utilize distance measurements and the knowledge of the location of the beacons to estimate the position of the target object. Although most of the global positioning techniques rely on beacons whose ...
Neural Networks, Computer Algorithms Data Collection Calibration
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Detection and Characterization of Multiple Discontinuities in Cables with Time-Domain Reflectometry and Convolutional Neural Networks.

Sensors (Basel, Switzerland) Dec 1, 2021
In this paper, a convolutional neural network for the detection and characterization of impedance discontinuity points in cables is presented. The neural network analyzes time-domain reflectometry signals and produces a set of estimated discontinuity...
Neural Networks, Computer Research Design Data Collection
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DCACNet: Dual context aggregation and attention-guided cross deconvolution network for medical image segmentation.

Computer methods and programs in biomedicine Nov 29, 2021
BACKGROUND AND OBJECTIVE: Segmentation is a key step in biomedical image analysis tasks. Recently, convolutional neural networks (CNNs) have been increasingly applied in the field of medical image processing; however, standard models still have some ...
Neural Networks, Computer Image Processing, Computer-Assisted Attention Data Collection
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Convolution-Based Encoding of Depth Images for Transfer Learning in RGB-D Scene Classification.

Sensors (Basel, Switzerland) Nov 28, 2021
Classification of indoor environments is a challenging problem. The availability of low-cost depth sensors has opened up a new research area of using depth information in addition to color image (RGB) data for scene understanding. Transfer learning o...
Neural Networks, Computer Machine Learning Data Collection
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