AIMC Topic: Neural Networks, Computer

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Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction.

Biomolecules
The secondary structure of proteins is significant for studying the three-dimensional structure and functions of proteins. Several models from image understanding and natural language modeling have been successfully adapted in the protein sequence st...

Comparing neural models for nested and overlapping biomedical event detection.

BMC bioinformatics
BACKGROUND: Nested and overlapping events are particularly frequent and informative structures in biomedical event extraction. However, state-of-the-art neural models either neglect those structures during learning or use syntactic features and exter...

Intrusion Detection System for IoT Based on Deep Learning and Modified Reptile Search Algorithm.

Computational intelligence and neuroscience
This study proposes a novel framework to improve intrusion detection system (IDS) performance based on the data collected from the Internet of things (IoT) environments. The developed framework relies on deep learning and metaheuristic (MH) optimizat...

Design and Implementation of a Multidimensional Visualization Reconstruction System for Old Urban Spaces Based on Neural Networks.

Computational intelligence and neuroscience
This article presents an in-depth study and analysis of the construction of a convolutional neural network model and multidimensional visualization system of old urban space and proposes the design of a multifaceted visualization reconstruction syste...

Analysis of Two-Piano Teaching Assistant Training Based on Neural Network Model Sound Sequence Recognition.

Computational intelligence and neuroscience
In today's society, with the gradual improve5ment of material living standards, people are also more in pursuit of their own spiritual enjoyment. The study of piano has gradually become a way for people to enrich their spiritual life, and more and mo...

Lag Synchronization of Noisy and Nonnoisy Multiple Neurobiological Coupled FitzHugh-Nagumo Networks with and without Delayed Coupling.

Computational intelligence and neuroscience
This paper presents a methodology for synchronizing noisy and nonnoisy multiple coupled neurobiological FitzHugh-Nagumo (FHN) drive and slave neural networks with and without delayed coupling, under external electrical stimulation (EES), external dis...

Application of the BP Neural Network Model in the Coordinated Development of Tourism Economic Networks in the Guangdong-Hong Kong-Macao Greater Bay Area.

Computational intelligence and neuroscience
In the present era, people are facing enough challenges, either personally or technically, and some people do suffer from having to keep up with the current technological improvements. The Guangdong-Hong Kong-Macao Greater Bay Area (GHKMGBA) is one o...

A Comparative Study of Text Genres in English-Chinese Translation Effects Based on Deep Learning LSTM.

Computational and mathematical methods in medicine
In recent years, neural network-based English-Chinese translation models have gradually supplanted traditional translation methods. The neural translation model primarily models the entire translation process using the "encoder-attention-decoder" str...

Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion.

Computational and mathematical methods in medicine
Protein is closely related to life activities. As a kind of protein, DNA-binding protein plays an irreplaceable role in life activities. Therefore, it is very important to study DNA-binding protein, which is a subject worthy of study. Although tradit...

Deep-SAGA: a deep-learning-based system for automatic gaze annotation from eye-tracking data.

Behavior research methods
With continued advancements in portable eye-tracker technology liberating experimenters from the restraints of artificial laboratory designs, research can now collect gaze data from real-world, natural navigation. However, the field lacks a robust me...