AIMC Topic: Neural Networks, Computer

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Implementation of Short Video Click-Through Rate Estimation Model Based on Cross-Media Collaborative Filtering Neural Network.

Computational intelligence and neuroscience
In this paper, we analyze the construction of cross-media collaborative filtering neural network model to design an in-depth model for fast video click-through rate projection based on cross-media collaborative filtering neural network. In this paper...

Correlation-Based Anomaly Detection Method for Multi-sensor System.

Computational intelligence and neuroscience
In industry, sensor-based monitoring of equipment or environment has become a necessity. Instead of using a single sensor, multi-sensor system is used to fully detect abnormalities in complex scenarios. Recently, physical models, signal processing te...

Big Transfer Learning for Fine Art Classification.

Computational intelligence and neuroscience
Automatic classification and retrieval of fine art collections have received much attention in recent years. In this article, we explore the applicability of convolutional neural networks (CNNs) for art-related image classification tasks. To examine ...

Short Sequence Chinese-English Machine Translation Based on Generative Adversarial Networks of Emotion.

Computational intelligence and neuroscience
With the steady growth of the global economy, the communication between countries in the world has become increasingly close. Due to its translation efficiency and other problems, the traditional manual translation has gradually failed to meet the cu...

Characteristic Analysis and Route Optimization of Heterogeneous Neural Network in Logistics Allocation System.

Computational intelligence and neuroscience
Logistics distribution vehicle scheduling plays an important role in the supply chain. With the wide application of e-commerce technology and the increasing diversification of urban industrial and commercial development mode, the optimal scheduling o...

ThoraciNet: thoracic abnormality detection and disease classification using fusion DCNNs.

Physical and engineering sciences in medicine
Chest X-rays are arguably the de facto medical imaging technique for diagnosing thoracic abnormalities. Chest X-ray analysis is complex, especially in asymptomatic diseases, and relies heavily on the expertise of radiologists. This work proposes the ...

Deep learning techniques for liver and liver tumor segmentation: A review.

Computers in biology and medicine
Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, and kidneys complicate li...

Risk assessment of ICU patients through deep learning technique: A big data approach.

Journal of global health
BACKGROUND: Intensive Care Unit (ICU) patients are exposed to various medications, especially during infusion, and the amount of infusion drugs and the rate of their application may negatively affect their health status. A deep learning model can mon...

A Novel Forward-Propagation Workflow Assessment Method for Malicious Packet Detection.

Sensors (Basel, Switzerland)
In recent times, there has been a huge upsurge in malicious attacks despite sophisticated technologies in digital network data transmission. This research proposes an innovative method that utilizes the forward-propagation workflow of the convolution...

Unsupervised Domain Adaptive 1D-CNN for Fault Diagnosis of Bearing.

Sensors (Basel, Switzerland)
Fault diagnosis (FD) plays a vital role in building a smart factory regarding system reliability improvement and cost reduction. Recent deep learning-based methods have been applied for FD and have obtained excellent performance. However, most of the...