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Prescribed-Time Sampled-Data Control for the Bipartite Consensus of Linear Multi-Agent Systems in Singed Networks
This article examines the prescribed-time sampled-data control problem for multi-agent systems in signed networks. A time-varying high gain-based...
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Repurposing of Drug Bank Compounds against Plasmodium falciparum Dihydroorotate Dehydrogenase as novel anti malarial drug candidates by Computational approaches
This study aimed to repurpose Drug Bank Compounds against P. falciparum Dihydroorotate dehydrogenase (Pf-DHODH)a potential molecular target for...
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Advancements in hand-drawn chemical structure recognition through an enhanced DECIMER architecture
AbstractAccurate recognition of hand-drawn chemical structures is crucial for digitising hand-written chemical information in traditional laboratory...
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Optimal Lot Size and Backordered Quantity Under Carbon Tax
Researchers and industry are working together to develop low carbon inventory models that comply with carbon pricing regulations while maintaining...
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Storage of weights and retrieval method (SWARM) approach for neural networks hybridized with conformal prediction to construct the prediction intervals for energy system applications
The prediction intervals represent the uncertainty associated with the model-predicted responses that impacts the sequential decision-making...
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An Investigation of the Influence of Time Evolution on the Solution Structure Using Hyperbolic Trigonometric Function Methods
In attempting to mathematically create traveling wave solutions to the (2+1)-dimensional integro-differential Jaulent–Miodek equation, the extended...
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Pruning Deep Neural Networks for Green Energy-Efficient Models: A Survey
Over the past few years, larger and deeper neural network models, particularly convolutional neural networks (CNNs), have consistently advanced...
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Exploring AI-driven approaches for unstructured document analysis and future horizons
In the current industrial landscape, a significant number of sectors are grappling with the challenges posed by unstructured data, which incurs...
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A comprehensive review of computational cell cycle models in guiding cancer treatment strategies
This article reviews the current knowledge and recent advancements in computational modeling of the cell cycle. It offers a comparative analysis of...
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A multi-source heterogeneous medical data enhancement framework based on lakehouse
Obtaining high-quality data sets from raw data is a key step before data exploration and analysis. Nowadays, in the medical domain, a large amount of...
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Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtypes within the coronaviridae family
PurposeIn this study, we present DeepVirusClassifier, a tool capable of accurately classifying Severe Acute Respiratory Syndrome Coronavirus 2...
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PromptSMILES: prompting for scaffold decoration and fragment linking in chemical language models
SMILES-based generative models are amongst the most robust and successful recent methods used to augment drug design. They are typically used for...
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Particle Swarm Optimization Numerical Simulation with Exponential Modified cubic B-Spline DQM
Optimization techniques refer to a collection of mathematical algorithms and methodologies used to discover the best possible solutions for specific...
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Advanced techniques for automated emotion recognition in dogs from video data through deep learning
Inter-species emotional relationships, particularly the symbiotic interaction between humans and dogs, are complex and intriguing. Humans and dogs...
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DeMoS: dense module based gene signature detection through quasi-clique: an application to cervical cancer prognosis
Nowadays, cervical cancer is a leading cause of death among women. Determining the gene signature is one of the major issues in bioinformatics....
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Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models
Multilevel Stein variational gradient descent is a method for particle-based variational inference that leverages hierarchies of surrogate target...
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On an accurate numerical integration for the triangular and tetrahedral spectral finite elements
In the triangular/tetrahedral spectral finite elements, we apply a bilinear/trilinear transformation to map a reference square/cube to a...
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Lattice Boltzmann modelling of bacterial colony patterns
The formation of branches in bacterial colonies is influenced by both chemical interactions (reactions) and the movement of substances through space...
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Modeling and mitigation of vortex formation in ejector deep hole drilling with smoothed particle hydrodynamics
Ejector deep hole drilling achieves high-quality boreholes in production processes. High feed rates are applied to ensure a high productivity level,...
