AIMC Topic: Neural Networks, Computer

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Improved Residual Network based on norm-preservation for visual recognition.

Neural networks : the official journal of the International Neural Network Society
Residual Network (ResNet) achieves deeper and wider networks with high-performance gains, representing a powerful convolutional neural network architecture. In this paper, we propose architectural refinements to ResNet that address the information fl...

Bioinspired and Low-Power 2D Machine Vision with Adaptive Machine Learning and Forgetting.

ACS nano
Natural intelligence has many dimensions, with some of its most important manifestations being tied to learning about the environment and making behavioral changes. In primates, vision plays a critical role in learning. The underlying biological neur...

RU-Net: An improved U-Net placenta segmentation network based on ResNet.

Computer methods and programs in biomedicine
BACKGROUND: In recent years, with the increase of late puerperium, cesarean section and induced abortion, the incidence of placenta accreta has been on the rise. It has become one of the common clinical diseases in obstetrics and gynecology. In clini...

MixNN: A Design for Protecting Deep Learning Models.

Sensors (Basel, Switzerland)
In this paper, we propose a novel design, called MixNN, for protecting deep learning model structure and parameters since the model consists of several layers and each layer contains its own structure and parameters. The layers in a deep learning mod...

DeepLPI: a novel deep learning-based model for protein-ligand interaction prediction for drug repurposing.

Scientific reports
The substantial cost of new drug research and development has consistently posed a huge burden for both pharmaceutical companies and patients. In order to lower the expenditure and development failure rate, repurposing existing and approved drugs by ...

The gate injection-based field-effect synapse transistor with linear conductance update for online training.

Nature communications
Neuromorphic computing, an alternative for von Neumann architecture, requires synapse devices where the data can be stored and computed in the same place. The three-terminal synapse device is attractive for neuromorphic computing due to its high stab...

Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach.

Frontiers in public health
The world is witnessing an increasing number of senior adult residents who experience health issues. Healthcare innovation facilitates monitoring the health conditions of senior adults and reducing the burden on healthcare institutions. The study exp...

A Deep CNN Framework for Neural Drive Estimation From HD-EMG Across Contraction Intensities and Joint Angles.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
OBJECTIVE: Previous studies have demonstrated promising results in estimating the neural drive to muscles, the net output of all motoneurons that innervate the muscle, using high-density electromyography (HD-EMG) for the purpose of interfacing with a...

A decision fusion method based on classification models for water quality monitoring.

Environmental science and pollution research international
Monitoring of water quality is one of the world's main intentions for countries. Classification techniques based on support vector machines (SVMs) and artificial neural network (ANN) has been widely used in several applications of water research. Wat...

On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective.

Neural networks : the official journal of the International Neural Network Society
Brain-inspired machine learning is gaining increasing consideration, particularly in computer vision. Several studies investigated the inclusion of top-down feedback connections in convolutional networks; however, it remains unclear how and when thes...