DL_FFLUX Refactored: Accelerating Quantum Chemical Topology Simulations With Optimized Parallelization [PDF]
DL_FFLUX, which houses the quantum‐topological machine‐learning potential FFLUX, is refactored and computationally optimized through software‐level code optimization and prediction caching. The new implementation accelerates molecular dynamics simulations 93‐fold for the largest models while preserving accuracy.
Mohamadhosein Nosratjoo +2 more
wiley +2 more sources
On optimisation of Paganin's method for propagation‐based X‐ray phase‐contrast imaging and tomography [PDF]
Abstract Paganin's method for image reconstruction in propagation‐based phase‐contrast X‐ray imaging and tomography has enjoyed broad acceptance in recent years, with over one thousand publications citing its use. The present paper discusses approaches to optimisation of the method with respect to simple image quality metrics, such as signal‐to‐noise ...
Timur E. Gureyev +3 more
wiley +2 more sources
NITS-IQA Database: A New Image Quality Assessment Database
This paper describes a newly-created image database termed as the NITS-IQA database for image quality assessment (IQA). In spite of recently developed IQA databases, which contain a collection of a huge number of images and type of distortions, there is ...
Jayesh Ruikar, Saurabh Chaudhury
doaj +2 more sources
Deep learning-based no-reference image quality assessment framework for Cryptosporidium spp. and Giardia spp. [PDF]
Image Quality Assessment (IQA) plays a critical role in image-based decision-making systems, especially in domains requiring high diagnostic precision. Effective feature information is a prerequisite for the high performance of machine learning methods ...
Muhammad Amirul Aiman Asri +8 more
doaj +2 more sources
ZEN-IQA: Zero-Shot Explainable and No-Reference Image Quality Assessment With Vision Language Model
No-reference image quality assessment (NR-IQA), which aims to estimate the perceptual quality of a degraded image without accessing the corresponding original image, is a key challenge in low-level computer vision.
Takamichi Miyata
doaj +2 more sources
Adequabilidade de um índice de qualidade da água para o rio Camaquã/RS [PDF]
A avaliação isolada das variáveis limnológicas visando ao monitoramento de um manancial não permite obter uma visão global da dinâmica que ocorre no corpo hídrico. Diante disso, esse trabalho teve como objetivo adequar um Índice de Qualidade de Água para
Luana Nunes Centeno +3 more
doaj +1 more source
Qualidade da água de abastecimento público do município de Abaetetuba, estado do Pará [PDF]
Devido à crescente exploração da água subterrânea para diversos fins, o uso dos Índices de Qualidade da Água (IQA) como instrumentos complementares na avaliação da qualidade e caracterização das fontes hídricas tem se mostrado satisfatório, tornando-se ...
Ágatha Marques Faria +4 more
doaj +1 more source
Qualidade da água consumida na Ilha do Mosqueiro, Belém-PA [PDF]
O estudo avaliou a qualidade da água subterrânea da Ilha do Mosqueiro (Belém – PA). Para tanto, foram aplicados o Índice de Qualidade Natural de Águas Subterrâneas (IQNAS), Índice de Qualidade da Água Subterrânea (IQAS) e Índice Relativo de Qualidade ...
Raynner Menezes Lopes +3 more
doaj +1 more source
IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment
In an era dominated by visual content, perceptual image quality assessment (IQA) is crucial for enhancing user experiences and driving technological advancements across various domains.
Mobeen Ur Rehman +3 more
doaj +2 more sources
Purpose The invaluable, yet challenging role of pastors in the community signifies the need to understand and care for their well-being. Well-being, conceptualized in the multidimensional construct of flourishing, does not explicitly include spiritual ...
Elizabeth Cornelia Rudolph +1 more
doaj +1 more source

