Results 121 to 130 of about 133,828 (342)

Computation of the Discrete Cosine Transform on Many-core Platform [PDF]

open access: yes
The discrete cosine transform and inverse discrete cosine transform are crucial components in many forms of image processing and multimedia. In particular, the discrete cosine transform is an important step for lossy compression algorithms due to its ...
Wang, Michael
core  

STUDI DAN IMPLEMENTASI WATERMARKING CITRA DIGITAL DENGAN PENDEKATAN DISCRETE COSINE TRANSFORM [PDF]

open access: yes, 2010
STUDI DAN IMPLEMENTASI WATERMARKING CITRA DIGITAL DENGAN PENDEKATAN DISCRETE COSINE TRANSFORM - watermarking, discrete cosine transform, citra diijital, hak cipta ...
ALBERT JANUAR LINARCO, LIE
core  

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

open access: yesAdvanced Science, EarlyView.
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

Calculation Scheme Based on a Weighted Primitive: Application to Image Processing Transforms

open access: yesEURASIP Journal on Advances in Signal Processing, 2007
This paper presents a method to improve the calculation of functions which specially demand a great amount of computing resources. The method is based on the choice of a weighted primitive which enables the calculation of function values under the scope ...
Gregorio de Miguel Casado   +3 more
doaj   +1 more source

Blocking artifact free inverse discrete cosine transform

open access: yes, 2000
This paper presents the generalized lapped biorthogonal transform embedded inverse discrete cosine transform (ge-IDCT) as an alternative to the IDCT. The ge-IDCT with nonlinear weighting in the embedded transform domain can reconstruct the signal with ...
Kittitornkun, Surin   +4 more
core  

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

open access: yesAdvanced Science, EarlyView.
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

Analyzing Laser Speckle Pattern Using the Discrete Cosine Transform

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2017
The use of Cosine transform to analyze the model-noise pattern alteration with different vibration model applied on multimode fiber optics are studied.
Inbethaq Mohammed Ali Abdul-Ameer
doaj  

Image Compression Using the Discrete Cosine Transform

open access: yes, 1994
The discrete cosine transform (DCT) is a technique for converting a signal into elementary frequency components. It is widely used in image compression. Here we develop some simple functions to compute the DCT and to compress images.
Andrew B. Watson
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
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

Automatic melanoma detection using discrete cosine transform features and metadata on dermoscopic images

open access: yesJournal of King Saud University: Computer and Information Sciences
Machine learning contributes in improving the accuracy of melanoma detection. There are extensive studies in classic and deep learning-based approaches for melanoma detection in the literature.
Shamim Yousefi   +5 more
doaj   +1 more source

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