AIMC Topic: Neural Networks, Computer

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Damage identification using wave damage interaction coefficients predicted by deep neural networks.

Ultrasonics
The ever-increasing demand for efficiency and cost improvements in lightweight structures with guaranteed safety and reliability is leading to the application of a damage-tolerant design philosophy. Here, accurate knowledge of structural health is cr...

A Layered Spiking Neural System for Classification Problems.

International journal of neural systems
Biological brains have a natural capacity for resolving certain classification tasks. Studies on biologically plausible spiking neurons, architectures and mechanisms of artificial neural systems that closely match biological observations while giving...

Distributed k-winners-take-all via multiple neural networks with inertia.

Neural networks : the official journal of the International Neural Network Society
This paper is dedicated to solving the k-winners-take-all problem with large-scale input signals in a distributed manner. According to the decomposition of global input signals, a novel dynamical system consisting of multiple coordinated neural netwo...

Prosit Transformer: A transformer for Prediction of MS2 Spectrum Intensities.

Journal of proteome research
Machine learning has been an integral part of interpreting data from mass spectrometry (MS)-based proteomics for a long time. Relatively recently, a machine-learning structure appeared successful in other areas of bioinformatics, Transformers. Furthe...

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network.

Sensors (Basel, Switzerland)
Advances in information technology have harnessed the application of Quick Response (QR) codes in day-to-day activities, simplifying information exchange. QR codes are witnessed almost everywhere, on consumables, newspapers, information bulletins, et...

A Hidden Markov Ensemble Algorithm Design for Time Series Analysis.

Sensors (Basel, Switzerland)
With the exponential growth of data, solving classification or regression tasks by mining time series data has become a research hotspot. Commonly used methods include machine learning, artificial neural networks, and so on. However, these methods on...

End-to-End Lip-Reading Open Cloud-Based Speech Architecture.

Sensors (Basel, Switzerland)
Deep learning technology has encouraged research on noise-robust automatic speech recognition (ASR). The combination of cloud computing technologies and artificial intelligence has significantly improved the performance of open cloud-based speech rec...

A New Approach for Abnormal Human Activities Recognition Based on ConvLSTM Architecture.

Sensors (Basel, Switzerland)
Recognizing various abnormal human activities from video is very challenging. This problem is also greatly influenced by the lack of datasets containing various abnormal human activities. The available datasets contain various human activities, but o...

TransPhos: A Deep-Learning Model for General Phosphorylation Site Prediction Based on Transformer-Encoder Architecture.

International journal of molecular sciences
Protein phosphorylation is one of the most critical post-translational modifications of proteins in eukaryotes, which is essential for a variety of biological processes. Plenty of attempts have been made to improve the performance of computational pr...

A weakly supervised deep learning-based method for glioma subtype classification using WSI and mpMRIs.

Scientific reports
Accurate glioma subtype classification is critical for the treatment management of patients with brain tumors. Developing an automatically computer-aided algorithm for glioma subtype classification is challenging due to many factors. One of the diffi...