Results 1 to 10 of about 6,714 (114)

Context-aware temporal synthesis for scene, entity, and event inference from silent image [PDF]

Frontiers in Neuroscience
IntroductionA central limitation of existing temporal image analysis and video understanding models lies in their reliance on explicit motion cues, dense supervision, or auxiliary modalities, which constrains their ability to infer latent temporal ...
Mahmoud Rokaya, Dalia I. Hemdan, Mohammed A. Alzain, El-Sayed Atlam, El-Sayed Atlam   +4 more
doaj   +2 more sources

Bimetallic Fe/K γ-cyclodextrin metal–organic frameworks with enhanced loading capacity and tunable release behavior [PDF]

Scientific Reports
Cyclodextrin-based metal–organic frameworks (CD-MOFs) are bio-derived porous coordination materials that combine hierarchical porosity with intrinsic host–guest recognition.
Asma Sadeghi, Hamidreza Farnoush, Javad Safaei-ghomi, Hourieh Sadat Oboudatian   +3 more
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Anomalous transport models for fluid classification: insights from an experimentally driven approach [PDF]

Discover Nano
In recent years, research and development in nanoscale science and technology have grown significantly, with electrical transport playing a key role. A natural challenge for its description is to shed light on anomalous behaviours observed in a variety ...
Sara Bernardi, Paolo Begnamino, Marco Pizzi, Lamberto Rondoni   +3 more
doaj   +2 more sources

A qualitative study on the stability and existence of solutions in a fractional-order water pollution model via the predictor–corrector approach [PDF]

Scientific Reports
The potential of fractional-order models to faithfully capture memory effects, anomalous diffusion and long-term persistence in the dynamics of water pollution has attracted a lot of interest in environmental science.
Naveed Iqbal, D. K. Archana, Mohammad Nazrul Islam Khan, D. G. Prakasha   +3 more
doaj   +2 more sources

Integrating machine-learning and nanotechnology to quantify pH-modulated oxaliplatin release [PDF]

Scientific Reports
The purpose of this work was to formulate and characterize pH-sensitive, surfactant-based nanomicelles for the targeted delivery of Oxaliplatin to breast cancer cells. A secondary aim was to utilize machine learning (ML) models to interpolate and dissect
Sonia Fathi-karkan, Abbas Rahdar, Maryam Shirzad   +2 more
doaj   +2 more sources

A fractional model for anomalous diffusion with increased variability: Analysis, algorithms and applications to interface problems [PDF]

Numerical Methods for Partial Differential Equations, 2022
AbstractFractional equations have become the model of choice in several applications where heterogeneities at the microstructure result in anomalous diffusive behavior at the macroscale. In this work we introduce a new fractional operator characterized by a doubly‐variable fractional order and possibly truncated interactions.
Marta D'Elia, Christian Glusa
openaire   +2 more sources

Analysis of Anisotropic Nonlocal Diffusion Models: Well-posedness of Fractional Problems for Anomalous Transport [PDF]

Proposed for presentation at the SIAM MS 2021., 2021
We analyze the well-posedness of an anisotropic, nonlocal diffusion equation. Establishing an equivalence between weighted and unweighted anisotropic nonlocal diffusion operators in the vein of unified nonlocal vector calculus, we apply our analysis to a class of fractional-order operators and present rigorous estimates for the solution of the ...
Marta D'Elia, Mamikon Gulian
openaire   +2 more sources

Analysis of Anisotropic Nonlocal Diffusion Models: Well-Posedness of Fractional Problems for Anomalous Transport

Numerical Mathematics: Theory, Methods and Applications, 2023
We analyze the well-posedness of an anisotropic, nonlocal diffusion equation. Establishing an equivalence between weighted and unweighted anisotropic nonlocal diffusion operators in the vein of unified nonlocal vector calculus, we apply our analysis to a class of fractional-order operators and present rigorous estimates for the solution of the ...
Marta D'Elia, Mamikon A. Gulian
openaire   +3 more sources

Analysis of the Absorbing Boundary Conditions for Anomalous Diffusion in Comb Model with Cattaneo Model in an Unbounded Region

Chaos, Solitons & Fractals, 2023
A fractional governing equation is derived from the two-dimensional anomalous diffusion in the comb model with the Cattaneo model by using rigorous derivation. One strategy to deal with the unbounded region is to create acceptable truncation. We abandon the traditional method of approximating infinite boundaries by enormous value and use the artificial
Liu, Lin, Chen, Siyu, Bao, Chunxu, Feng, Libo, Zheng, Liancun, Zhu, Jing, Zhang, Jiangshan   +6 more
openaire   +2 more sources

Dynamical Analysis of Rubella Disease Model in the Context of Fractional Piecewise Derivative: Simulations with Real Statistical Data

Fractal and Fractional, 2023
Rubella is a viral disease that can lead to severe health complications, especially in pregnant women and their unborn babies. Understanding the dynamics of the Rubella disease model is crucial for developing effective strategies to control its spread ...
Badr Saad T. Alkahtani
doaj   +1 more source