Combined approach to image coding based on fuzzy classification of fragment
The possibility of effective application of fuzzy logic methods in digital image coding and compression tasks is investigated. A new approach is presented that employs discrete cosine transforms and Haar coefficients as a feature space. The efficiency of
V. G. Ivanov, O. S. Radivonenko
doaj
Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang +5 more
wiley +1 more source
Fast polynomial multiplication and convolutions related to the discrete cosine transform [PDF]
A classical scheme for multiplying polynomials is given by the Cauchy product formula. Faster methods for computing this product have been developed using circular convolution and fast Fourier transform algorithms.
Baszenski, Günter +3 more
core +1 more source
Transformer has emerged as one of the modern neural networks that has been applied in numerous applications. However, transformers’ large and deep architecture makes them computationally and memory-intensive.
Euis Asriani +2 more
doaj +1 more source
Combining SVD-DCT Image Watermarking Scheme Based on Perona-Malik Diffusion
In this paper, we propose an efficient image watermarking scheme based on combining Singular Value Decomposition (SVD) and Discrete Cosine Transform (DCT) transforms.
Sarra Belilita +3 more
doaj +1 more source
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source
Discrete transforms, semidefinite programming and sum-of-squares representations of nonnegative polynomials [PDF]
. We present a new semidefinite programming formulation of sum-of-squares representations of nonnegative polynomials, cosine polynomials and trigonometric polynomials of one variable. The parametrization is based on discrete transforms (specifically, the
Tae Roh, Lieven Vandenberghe
core
The eigenstructure of finite field trigonometric transforms [PDF]
In this paper, we discuss the eigenstructure of finite field trigonometric transforms (FFTT). This transform family includes different types of cosine and sine transforms that correspond, in the finite field case, to the well known discrete cosine and ...
Lima, J.B. +5 more
core +1 more source
Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen +3 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source

