AIMC Topic: Computer Simulation

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Principal fitted component framework for robust support vector regression based on bounded loss: A simulation study with potential applications.

PloS one
The inferential results regarding estimates of Support Vector Regression (SVR) are highly influenced by anomalies and ill-conditioned predictors. Excessive dimensions of data also make the model complex. To improve estimation accuracy, this paper int...

Model parameterization of robotic systems through the bio-inspired optimization.

PloS one
The accurate modeling of dynamic systems, particularly robotic ones, is crucial in the industry. It enables simulation-based approaches that facilitate various tasks without requiring the physical system, thereby reducing risks and costs. These appro...

Investigating the effect of morphology on the terrestrial gaits of amphibious fish using a reconfigurable robot.

Bioinspiration & biomimetics
The relationship between morphology and locomotion performance in amphibious fish remains poorly understood, particularly in axial-appendage-based and appendage-based movements. To address this, we introduce Polymander, a reconfigurable robot capable...

Temporal user interest modeling for online advertising using Bi-LSTM network improved by an updated version of Parrot Optimizer.

Scientific reports
In the era of digitization, online digital advertising is one of the best techniques for modern marketing. This makes advertisers rely heavily on accurate user interest and behavior modelling to deliver precise advertisement impressions and increase ...

High-fidelity in silico generation and augmentation of TCR repertoire data using generative adversarial networks.

Scientific reports
Engineered T-cell receptor (eTCR) systems rely on accurately generated T-cell receptor (TCR) sequences to enhance immunotherapy predictability and efficacy. The most variable and crucial part of the TCR receptor is the CDR3 sequence region. Current m...

Prediction of reproductive and developmental toxicity using an attention and gate augmented graph convolutional network.

Scientific reports
Due to the diverse molecular structures of chemical compounds and their intricate biological pathways of toxicity, predicting their reproductive and developmental toxicity remains a challenge. Traditional Quantitative Structure-Activity Relationship ...

Novel Computational Approaches in the Discovery and Identification of Bioactive Peptides: A Bioinformatics Perspective.

Journal of agricultural and food chemistry
Bioactive peptides are protein molecules known for their specific biological functions, offering promising applications across various fields including medicine, food, and cosmetics. Traditional approaches to the investigation of bioactive peptides t...

Novel Antimicrobials from Computational Modelling and Drug Repositioning: Potential Strategies to Increase Therapeutic Arsenal Against Antimicrobial Resistance.

Molecules (Basel, Switzerland)
Antimicrobial resistance (AMR) is one of the most significant public health threats today. The need for new antimicrobials against multidrug-resistant infections is growing. The development of computational models capable of predicting new drug-targe...

Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks.

PloS one
The rapid proliferation of the Power Internet of Things (PIoT) has given rise to severe network security threats, with eavesdropping attacks emerging as a paramount concern. Traditional eavesdropping detection methods struggle to adapt to complex and...

Automated inference of disease mechanisms in patient-hiPSC-derived neuronal networks.

Communications biology
Human induced pluripotent stem cells (hiPSCs)-derived neuronal networks on multi-electrode arrays (MEAs) are a powerful tool for studying neurological disorders. The electric activity patterns of these networks differ between healthy and patient-deri...