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Showing 55 results for "joaquin armijo" in Engineering
Engineering Preprint PDF DOI

Beyond the Expiry Date: Uncovering Hidden Value in Functional Drink Waste for a Circular Future

Yiying He, Zhiqiang Zuo, Yianni Alissandratos, Penny Willson, Shameem Kazmi, Alex P. S. Brogan, Miao Guo · 2025

Expired functional drinks have great valorisation potential due to the high concentration of organic molecules present. However, detailed information of the resources in these expired functional drink…

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Engineering Preprint PDF DOI

Game Theoretic Resilience Recommendation Framework for CyberPhysical Microgrids Using Hypergraph MetaLearning

S Krishna Niketh, Prasanta K Panigrahi, V Vignesh, Mayukha Pal · 2025

This paper presents a physics-aware cyberphysical resilience framework for radial microgrids under coordinated cyberattacks. The proposed approach models the attacker through a hypergraph neural netwo…

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Engineering Preprint PDF DOI

ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability

Xiangwen Wang, Gaojie Jin, Xiaowei Huang, Ronghui Mu · 2025

Designing mutations to optimize protein thermostability remains challenging due to the complex relationship between sequence variations, structural dynamics, and thermostability, often assessed by \de…

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Engineering Preprint PDF DOI

Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding

Jiarui Li, Zixiang Yin, Haley Smith, Zhengming Ding, Samuel J. Landry, Ramgopal R. Mettu · 2025

CD8+ "killer" T cells and CD4+ "helper" T cells play a central role in the adaptive immune system by recognizing antigens presented by Major Histocompatibility Complex (pMHC) molecules via T Cell Rece…

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Engineering Preprint PDF DOI

Wideband channel sensing with holographic interference surfaces

Jindiao Huang, Haifan Yin · 2025

The Holographic Interference Surface (HIS) opens up a new prospect for building a more cost-effective wireless communication architecture by performing Radio Frequency (RF) domain signal processing. I…

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Engineering Preprint PDF DOI

Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing

Ye Du, Chen Yang, Nanxi Yu, Wanyu Lin, Qian Zhao, Shujun Wang · 2025

De novo peptide sequencing is a fundamental computational technique for ascertaining amino acid sequences of peptides directly from tandem mass spectrometry data, eliminating the need for reference da…

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Engineering Preprint PDF DOI

Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment

Xiao Fei, Michail Chatzianastasis, Sarah Almeida Carneiro, Hadi Abdine, Lawrence P. Petalidis, Michalis Vazirgiannis · 2025

Predicting protein function from sequence is a central challenge in computational biology. While existing methods rely heavily on structured ontologies or similarity-based techniques, they often lack …

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Engineering Preprint PDF DOI

D-Flow: Multi-modality Flow Matching for D-peptide Design

Fang Wu, Fang Wu, Shuting Jin, Xiangru Tang, Junlin Xu, Mark Gerstein, James Zou · 2024

Proteins play crucial roles in biological processes, with therapeutic peptides emerging as promising pharmaceutical agents. They allow for new possibilities to leverage target binding sites that were …

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Engineering Preprint PDF DOI

Enhancing reinforcement learning for population setpoint tracking in co-cultures

Sebastian Espinel-Rios, Joyce Qiaoxi Mo, Dongda Zhang, Ehecatl Antonio del Rio-Chanona, Jose L. Avalos · 2024

Efficient multiple setpoint tracking can enable advanced biotechnological applications, such as maintaining desired population levels in co-cultures for optimal metabolic division of labor. In this st…

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Engineering Preprint PDF DOI

All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents

Zhiqiang Wang, Hao Zheng, Yunshuang Nie, Wenjun Xu, Qingwei Wang, Hua Ye, Zhe Li, Kaidong Zhang, Xuewen Cheng, Wanxi Dong, Chang Cai, Liang Lin, Feng Zheng, Xiaodan Liang · 2024

Embodied AI is transforming how AI systems interact with the physical world, yet existing datasets are inadequate for developing versatile, general-purpose agents. These limitations include a lack of …

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Engineering Preprint PDF DOI

On decentralized computation of the leader's strategy in bi-level games

Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis · 2024

Motivated by the omnipresence of hierarchical structures in many real-world applications, this study delves into the intricate realm of bi-level games, with a specific focus on exploring local Stackel…

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Engineering Preprint PDF DOI

ECCO: Equivalent Circuit Controlled Optimization

Aayushya Agarwal, Carmel Fiscko, Soummya Kar, Larry Pileggi, Bruno Sinopoli · 2022

We propose an adaptive optimization algorithm for solving unconstrained scaled gradient flow problems that achieves fast convergence by controlling the optimization trajectory shape and the discretiza…

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Engineering Preprint PDF DOI

Spectral decomposition of atomic structures in heterogeneous cryo-EM

Carlos Esteve-Yague, Willem Diepeveen, Ozan Oktem, Carola-Bibiane Schonlieb · 2022

We consider the problem of recovering the three-dimensional atomic structure of a flexible macromolecule from a heterogeneous cryo-EM dataset. The dataset contains noisy tomographic projections of the…

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Engineering Preprint PDF DOI

Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins

David Medina-Ortiz, Sebastian Contreras, Juan Amado-Hinojosa, Jorge Torres-Almonacid, Juan A. Asenjo, Marcelo Navarrete, Alvaro Olivera-Nappa · 2020

Predicting the effect of mutations in proteins is one of the most critical challenges in protein engineering; by knowing the effect a substitution of one (or several) residues in the protein's sequenc…

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Engineering Preprint PDF DOI

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction

Yunsheng Bai, Ken Gu, Yizhou Sun, Wei Wang · 2020

We introduce Bi-GNN for modeling biological link prediction tasks such as drug-drug interaction (DDI) and protein-protein interaction (PPI). Taking drug-drug interaction as an example, existing method…

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Engineering Preprint PDF DOI

Identifica\c{c}\~ao de Sistemas N\~ao Lineares Utilizando o Algoritmo H\'ibrido e Bin\'ario de Otimiza\c{c}\~ao por Enxame de Part\'iculas e Busca Gravitacional

W. R. Lacerda Junior, S. A. M. Martins, E. G. Nepomuceno · 2019

This work presents a new meta-heuristic approach to model structure selection of polynomial NARX models. In this respect, the technique penalizes the models based on the individual contribution of eac…

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Engineering Preprint PDF DOI

Computation Protein Design instances with small tree-width: selection based on coarse approximated 3D average position volume

David Allouche · 2019

This paper proposes small tree-width graph decomposition computational protein design CFN instances defined according to the model [1] with protocol defined by Simononcini et al [2] . The proteins use…

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Engineering Preprint PDF DOI

GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm

Samaneh Azari, Bing Xue, Mengjie Zhang, Lifeng Peng · 2019

Proteomics is the large-scale analysis of the proteins. The common method for identifying proteins and characterising their amino acid sequences is to digest the proteins into peptides, analyse the pe…

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Engineering Preprint PDF DOI

Protein identification with deep learning: from abc to xyz

Ngoc Hieu Tran, Zachariah Levine, Lei Xin, Baozhen Shan, Ming Li · 2017

Proteins are the main workhorses of biological functions in a cell, a tissue, or an organism. Identification and quantification of proteins in a given sample, e.g. a cell type under normal/disease con…

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Engineering Preprint PDF DOI

Integrating NOE and RDC using sum-of-squares relaxation for protein structure determination

Yuehaw Khoo, Amit Singer, David Cowburn · 2016

We revisit the problem of protein structure determination from geometrical restraints from NMR, using convex optimization. It is well-known that the NP-hard distance geometry problem of determining at…

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