Results 1 to 10 of about 47,216 (248)
A Hybrid Preprocessor DE-ABC for Efficient Skin-Lesion Segmentation with Improved Contrast [PDF]
Diagnostics, 2022 Rapid advancements and the escalating necessity of autonomous algorithms in medical imaging require efficient models to accomplish tasks such as segmentation and classification.
Shairyar Malik +5 more
doaj +3 more sources
Journal of Marine Science and Engineering, 2019 This paper presents the theoretical background, the numerical implementation, and the applications of a new software that has been developed in recent years for the analysis of wave-structure interactions.
Yingyi Liu
exaly +4 more sources
fastp: an ultra-fast all-in-one FASTQ preprocessor
Bioinformatics, 2018 Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming, and quality filtering. These
Shifu Chen
exaly +2 more sources
GAN-Based Video Denoising with Attention Mechanism for Field-Applicable Pig Detection System [PDF]
Sensors, 2022 Infrared cameras allow non-invasive and 24 h continuous monitoring. Thus, they are widely used in automatic pig monitoring, which is essential to maintain the profitability and sustainability of intensive pig farms.
Zhao Bo +4 more
doaj +2 more sources
Instruction2vec: Efficient Preprocessor of Assembly Code to Detect Software Weakness with CNN
Applied Sciences, 2019 Potential software weakness, which can lead to exploitable security vulnerabilities, continues to pose a risk to computer systems. According to Common Vulnerability and Exposures, 14,714 vulnerabilities were reported in 2017, more than twice the number ...
Yongjun Lee +5 more
doaj +2 more sources
Discipline Matters: Refactoring of Preprocessor Directives in the #ifdef Hell
IEEE Transactions on Software Engineering, 2018 Flávio Medeiros +2 more
exaly +2 more sources
Engineering a Preprocessor for Symmetry Detection [PDF]
The Sea, 2023 State-of-the-art solvers for symmetry detection in combinatorial objects are becoming increasingly sophisticated software libraries. Most of the solvers were initially designed with inputs from combinatorics in mind (nauty, bliss, Traces, dejavu).
Markus Anders +2 more
semanticscholar +1 more source
Using photonic reservoirs as preprocessors for deep neural networks
Frontiers in Physics, 2022 Artificial neural networks are very time consuming and energy intensive to train, especially when increasing the size of the neural network in an attempt to improve the performance.
Ian Bauwens +3 more
doaj +1 more source
Novel Preprocessors for Convolution Neural Networks
IEEE Access, 2022 Fooling neural networks is a main concern in the process of Artificial Intelligence optimization. Character perturbation make part of a text unnoticeable for some systems, even for human observers.
Ziad Doughan +3 more
doaj +1 more source
Semantic Preprocessor for Image Compression for Machines
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 Visual content is being increasingly transmitted and consumed by machines rather than humans to perform automated content analysis tasks. In this paper, we propose an image preprocessor that optimizes the input image for machine consumption prior to ...
Mingyi Yang +7 more
semanticscholar +1 more source