AIMC Topic: Neural Networks, Computer

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Biological convolutions improve DNN robustness to noise and generalisation.

Neural networks : the official journal of the International Neural Network Society
Deep Convolutional Neural Networks (DNNs) have achieved superhuman accuracy on standard image classification benchmarks. Their success has reignited significant interest in their use as models of the primate visual system, bolstered by claims of thei...

TypeSeg: A type-aware encoder-decoder network for multi-type ultrasound images co-segmentation.

Computer methods and programs in biomedicine
PURPOSE: As a portable and radiation-free imaging modality, ultrasound can be easily used to image various types of tissue structures. It is important to develop a method which supports the multi-type ultrasound images co-segmentation. However, state...

Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets.

Journal of digital imaging
Organ segmentation from existing imaging is vital to the medical image analysis and disease diagnosis. However, the boundary shapes and area sizes of the target region tend to be diverse and flexible. And the frequent applications of pooling operatio...

SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map.

Sensors (Basel, Switzerland)
Modern data augmentation strategies such as Cutout, Mixup, and CutMix, have achieved good performance in image recognition tasks. Particularly, the data augmentation approaches, such as Mixup and CutMix, that mix two images to generate a mixed traini...

Vehicle Destination Prediction Using Bidirectional LSTM with Attention Mechanism.

Sensors (Basel, Switzerland)
Satellite navigation has become ubiquitous to plan and track travelling. Having access to a vehicle's position enables the prediction of its destination. This opens the possibility to various benefits, such as early warnings of potential hazards, rou...

Hyperparameter Optimization Techniques for Designing Software Sensors Based on Artificial Neural Networks.

Sensors (Basel, Switzerland)
Software sensors are playing an increasingly important role in current vehicle development. Such soft sensors can be based on both physical modeling and data-based modeling. Data-driven modeling is based on building a model purely on captured data wh...

System for Tool-Wear Condition Monitoring in CNC Machines under Variations of Cutting Parameter Based on Fusion Stray Flux-Current Processing.

Sensors (Basel, Switzerland)
The computer numerical control (CNC) machine has recently taken a fundamental role in the manufacturing industry, which is essential for the economic development of many countries. Current high quality production standards, along with the requirement...

Applicability of recurrent neural networks to retrieve missing runoff records: challenges and opportunities in Turkey.

Environmental monitoring and assessment
Acquiring river flow records is the primary precondition for providing optimal water resource management practices and preserving the ecohydrological balance. In Turkey, some river gauging stations go intermittently out of service due to some technic...

Gene prediction of aging-related diseases based on DNN and Mashup.

BMC bioinformatics
BACKGROUND: At present, the bioinformatics research on the relationship between aging-related diseases and genes is mainly through the establishment of a machine learning multi-label model to classify each gene. Most of the existing methods for predi...

Detecting the content of the bright blue pigment in cream based on deep learning and near-infrared spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The excessive content of additives in food is a radical problem that affects human health. However, traditional chemical methods are limited by a long cycle, low accuracy, and strong destructiveness, so a fast and accurate alternative is urgently nee...