Search Results - computational complexity theory

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    Statistical Mechanics of Linear <i>k</i>-mer Lattice Gases: From Theory to Applications by Julian Jose Riccardo, Pedro Marcelo Pasinetti, Jose Luis Riccardo, Antonio Jose Ramirez-Pastor

    Published 2025-07-01
    “…The statistical mechanics of structured particles with arbitrary size and shape adsorbed onto discrete lattices presents a longstanding theoretical challenge, mainly due to complex spatial correlations and entropic effects that emerge at finite densities. …”
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    Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

    Published 2025-09-01
    “…Simulations confirm the methods' low complexity and superior efficacy, highlighting reduced system delay and enhanced model accuracy. …”
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    Integrative computational approaches identify haptoglobin inhibitors to modulate erythrocyte sedimentation rate in trauma-linked inflammatory and haematological malignancies by Abdulaziz H. Al Khzem, Shaban Ahmad

    Published 2025-06-01
    “…The study also included Density Functional Theory computations and pharmacokinetic profiling to assess these compounds’ suitability further, revealing promising results. …”
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    Computationally Efficient Model Predictive Control of Delta-Connected CHB-Based Active Power Filter by Kehl Zdeněk, Glasberger Tomas, Peroutka Zdeněk

    Published 2025-02-01
    “…The results show that the control quality is comparable to the full-state FCS-MPC, while its computation time and complexity are notably reduced.…”
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    Optimizing Trade-Offs in Reliability, Security, and Freshness for Integrated Communication, Sensing, and Over-the-Air Computing by Tianyu Ren, Miao Zhang, Fangyu Wang, Kaiyuan Zheng

    Published 2025-01-01
    “…To tackle this issue, this paper proposes an integrated sensing, communication, and computation over-the-air (ISCCO) framework and presents effective system design and optimization strategies. …”
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    Vaccination as a Game: Behavioural Dynamics, Network Effects, and Policy Levers—A Comprehensive Review by Pedro H. T. Schimit, Abimael R. Sergio, Marco A. R. Fontoura

    Published 2025-07-01
    “…Here, we synthesise more than 80 theoretical, computational, and empirical studies to clarify how population structure, psychological perception, pathogen complexity, and policy incentives interact to determine vaccination equilibria and epidemic outcomes. …”
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    Multiscale study of interaction between SARS-CoV-2 protein and human receptor complex by Roshan Sigdel, Jhulan Powrel, Nurapati Pantha, Narayan Prasad Adhikari

    Published 2025-05-01
    “…First-principles calculations, based on density functional theory (DFT) and hybrid functionals, were used to compute the binding energies of residues within the binding pockets, which were found to be negative, suggesting no significant intra-pocket binding. …”
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    Bridging Disciplinary Divides: Exploring the Synergy of Punctuated Equilibrium Theory and Artificial Neural Networks in Policy Change Analysis by Łukasz Wordliczek

    Published 2023-12-01
    “…Despite some similarities between PET and NNs, limited systematic research has been conducted to bridge the gap between political science and computer science. The paper addresses this conceptual gap by presenting a theory-oriented, explorative examination, focusing on the commonalities in their principles, such as information processing, dynamic modeling, and adaptation. …”
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    Predicting emotional responses in interactive art using Random Forests: a model grounded in enactive aesthetics by Xiaowei Chen, Xiaowei Chen, Zainuddin Ibrahim, Azlan Abdul Aziz

    Published 2025-08-01
    “…However, these emotional responses’ inherently dynamic, subjective, and often pre-reflective nature poses significant challenges to their systematic prediction and computational modeling.MethodsTo address these challenges, the present study introduces an interpretable machine learning framework grounded in the Random Forest (RF) algorithm, which provides a balanced trade-off between predictive performance and model transparency, thereby aligning with the needs of theory-driven emotion research. …”
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    Implementation of Basic Operations for Sparse Matrices when Solving a Generalized Eigenvalue Problem in the ACELAN-COMPOS Complex by P. A. Oganesyan, O. O. Shtein

    Published 2023-07-01
    “…When solving the SLAE by symmetric LQ method, the greatest computational costs were needed to multiply the matrix by a vector. …”
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