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Showing 16 of 36 academic articles

Quantum Computing for High-Energy Physics: State of the Art and Challenges

Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Constantia Alexandrou et al. • PRX Quantum (2024)

Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup o...

OPENALEX cc-by DOI: https://doi.org/10.1103/prxquantum.5.037001

A Behavioral SIQR-B Model for Cholera Transmission: Impact of Adaptive Risk Perception on Disease Dynamics

Pedro Pablo Cárdenas Alzate, Jaime Alberto Echeverri Franco, Jacobo Echeverri Hoyos • Epidemiologia (2026)

Background/Objectives: Cholera remains a major public health problem, particularly in regions with limited access to safe drinking water and sanitation. Traditional compartmental models may underrepresent adaptive human behavioral responses...

DOAJ Open Access (DOAJ) DOI: 10.3390/epidemiologia7050142

Regional observability of distributed systems

M. Amouroux, A. El Jai, El Hassan Zerrik • International Journal of Systems Science (1994)

The aim of this paper is to develop the concept of regional observability for distributed systems. This original concept is closer to practical considerations since it only requires the observation of the state on a given subregion. We show...

OPENALEX DOI: https://doi.org/10.1080/00207729408928961

A Model of Social Distancing for Interacting Age-Distributed Multi-Populations: An Analysis of Students’ In-Person Return to Schools

A. C. F. N. Gomes, A. De Cezaro • Trends in Computational and Applied Mathematics (2022)

Because of the current scenario of the SARS-CoV-2 (COVID-19) pandemic in Brazil, whose vaccination campaign is in the initial stage, government authorities have pointed out towards the complete reopening of the economy. And recently for the...

DOAJ Open Access (DOAJ) DOI: 10.5540/tcam.2022.023.04.00655

Building integrated renewable energy

Yaolin Lin, Wei Yang, Xiaoli Hao, Changxiong Yu • Energy Exploration & Exploitation (2021)

About one-third of the primary energy in the world is consumed by buildings. A large amount of CO 2 emission due to building energy consumption has threatened the sustainable development of the world. Improvement on the building energy perf...

DOAJ Open Access (DOAJ) DOI: 10.1177/0144598720952512

Ultrahigh-peak-power laser pulse compression by a double-smoothing grating compressor

Renjing Chen, Wenhai Liang, Yilin Xu, Shuman Du et al. • High Power Laser Science and Engineering (2025)

Spatial intensity modulation in amplified laser beams, particularly hot spots, critically constrains attainable pulse peak power due to the damage threshold limitations of four-grating compressors. This study demonstrates that the double-sm...

DOAJ Open Access (DOAJ) DOI: 10.1017/hpl.2025.28

Gestalt Theory and Computer Vision

Agnès Desolneux, Lionel Moisan, Jean‐Michel Morel • Kluwer Academic Publishers eBooks (2006)

In the Wertheimer programme there are two kinds of organizing laws. The rst kind are grouping laws which, starting from atomic and local data, recursively construct larger groups in the perceived image. Each grouping law focuses on a single...

OPENALEX DOI: https://doi.org/10.1007/1-4020-2081-3_4

Spatiotemporal patterns induced by four mechanisms in a tussock sedge model with discrete time and space variables

You Li, Jingjing Cao, Ying Sun, Dan Song et al. • Advances in Difference Equations (2021)

Abstract In this paper, we investigate the spatiotemporal patterns of a freshwater tussock sedge model with discrete time and space variables. We first analyze the kinetic system and show the parametric conditions for flip and Neimark–Sacke...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13662-021-03557-9

Deep-learning-based ghost imaging

Meng Lyu, Wei Wang, Hao Wang, Haichao Wang et al. • Scientific Reports (2017)

In this manuscript, we propose a novel framework of computational ghost imaging, i.e., ghost imaging using deep learning (GIDL). With a set of images reconstructed using traditional GI and the corresponding ground-truth counterparts, a deep...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41598-017-18171-7 PMC: 5736587

Proactive caching in cloud and D2D assisted multi-tier cellular networks

Ayaz Ahmad, Fawad Ahmad, Muhammad Suleman Khan, Adel Aldalbahi • PeerJ Computer Science (2026)

Proactive caching in multi-tier cellular networks (MTCNs) is an efficient technique for alleviating heavy data traffic on backhaul links, thereby reducing content latency and increasing the overall cache hit ratio (CHR) and user satisfactio...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.4004

Machine learning for quantum matter

Juan Carrasquilla • Advances in Physics X (2020)

Quantum matter, the research field studying phases of matter whose properties are intrinsically quantum mechanical, draws from areas as diverse as hard condensed matter physics, materials science, statistical mechanics, quantum information,...

OPENALEX cc-by DOI: https://doi.org/10.1080/23746149.2020.1797528

Hybrid machine learning and 3D numerical modeling-based multi-objective optimization of geosynthetic-reinforced pile-supported embankments

Ammar Alnmr, Ammar Alnmr, Rashad Alsirawan, Haidar Hosamo et al. • Frontiers in Built Environment (2026)

Efficient and reliable design of Geosynthetic Reinforced Pile-Supported (GRPS) embankments on soft ground remains challenging due to the complex nonlinear soil–structure interaction and the high computational cost of repeated numerical anal...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbuil.2026.1829950