AIMC Topic: Neural Networks, Computer

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Designing an optimal model of blood logistics management with the possibility of return in the three-level blood transfusion network.

BMC health services research
BACKGROUND: Inventory managers in the blood supply chain always endeavor to provide their clients with prompt and appropriate responses. On the other hand, timely and regular blood deliveries to consumers are essential since ineffective delivery and ...

Transformer-based tool recommendation system in Galaxy.

BMC bioinformatics
BACKGROUND: Galaxy is a web-based open-source platform for scientific analyses. Researchers use thousands of high-quality tools and workflows for their respective analyses in Galaxy. Tool recommender system predicts a collection of tools that can be ...

On convolutional neural networks for selection inference: Revealing the effect of preprocessing on model learning and the capacity to discover novel patterns.

PLoS computational biology
A central challenge in population genetics is the detection of genomic footprints of selection. As machine learning tools including convolutional neural networks (CNNs) have become more sophisticated and applied more broadly, these provide a logical ...

Diagnosing injection-production system faults in the same well using the rough set-LVQ neural network.

PloS one
This study proposed a reverse calculation model of the unique rod pump injection and production system structures in the same well to diagnose and resolve defects, after which dynamometer diagrams of the system production and injection pumps were dra...

Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.

Neural networks : the official journal of the International Neural Network Society
Recent years have witnessed increasing interest in adversarial attacks on images, while adversarial video attacks have seldom been explored. In this paper, we propose a sparse adversarial attack strategy on videos (DeepSAVA). Our model aims to add a ...

A novel fixed-time error-monitoring neural network for solving dynamic quaternion-valued Sylvester equations.

Neural networks : the official journal of the International Neural Network Society
This paper addresses the dynamic quaternion-valued Sylvester equation (DQSE) using the quaternion real representation and the neural network method. To transform the Sylvester equation in the quaternion field into an equivalent equation in the real f...

FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery.

Computers in biology and medicine
Antibiotic resistance continues to be a growing concern for global health, accentuating the need for novel antibiotic discoveries. Traditional methodologies in this field have relied heavily on extensive experimental screening, which is often time-co...

XGraphCDS: An explainable deep learning model for predicting drug sensitivity from gene pathways and chemical structures.

Computers in biology and medicine
Cancer is a highly complex disease characterized by genetic and phenotypic heterogeneity among individuals. In the era of precision medicine, understanding the genetic basis of these individual differences is crucial for developing new drugs and achi...

Rapid diagnosis of cervical cancer based on serum FTIR spectroscopy and support vector machines.

Lasers in medical science
Cervical cancer is one of the most common malignant tumors among female gynecological diseases. This paper aims to explore the feasibility of utilizing serum Fourier Transform Infrared (FTIR) spectroscopy, combined with machine learning and deep lear...

Optimization of catalytic wet air oxidation process in microchannel reactor for TBBS wastewater treatment.

Environmental technology
Catalytic wet air oxidation (CWAO) process is employed for the treatment of N-tert-butyl-2-benzothiazolesulfenamide (TBBS) wastewater in a microchannel reactor that enables continuous operation of the reaction and allows for thorough mixing of oxygen...