Results 71 to 80 of about 88,482 (262)

flow-models 2.2: Efficient and parallel elephant flow modeling with machine learning

SoftwareX
This article introduces the latest version of the flow-models framework for IP network flow analysis. Key improvements include support for Dask to enable parallel computing, dataset reduction techniques for efficient training, and new modules for entropy
Piotr Jurkiewicz
doaj   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source

Opfunu: An Open-source Python Library for Optimization Benchmark Functions

Journal of Open Research Software
Opfunu is a Python library designed to address the need for a comprehensive suite of benchmark functions for numerical optimization algorithms. It offers a rich collection of functions, including all those used in the Congress on Evolutionary Computation
Nguyen Van Thieu
doaj   +1 more source

Reading Responses To Journal Articles, Computational Emulation Of Published Research [PDF]

, 2018
Students responded to sets of journal articles in computational optics and imaging every week. Articles investigated scientific questions, visualization of scientific data, ethical questions, and international collaborative projects (such as the Event ...
Ganapati, Vidya
core   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Huang Jing, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

iamxt: Max-tree toolbox for image processing and analysis

SoftwareX, 2017
The iamxt is an array-based max-tree toolbox implemented in Python using the NumPy library for array processing. It has state of the art methods for building and processing the max-tree, and a large set of visualization tools that allow to view the tree ...
Roberto Souza, Letícia Rittner, Rubens Machado, Roberto Lotufo   +3 more
doaj   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Resolvent4py: A parallel Python package for analysis, model reduction and control of large-scale linear systems

SoftwareX
In this paper, we present resolvent4py, a parallel Python package for the analysis, model reduction and control of large-scale linear systems with millions or billions of degrees of freedom.
Alberto Padovan, Vishal Anantharaman, Clarence W. Rowley, Blaine Vollmer, Tim Colonius, Daniel J. Bodony   +5 more
doaj   +1 more source

Shenfun -- automating the spectral Galerkin method

, 2017
With the shenfun Python module (github.com/spectralDNS/shenfun) an effort is made towards automating the implementation of the spectral Galerkin method for simple tensor product domains, consisting of (currently) one non-periodic and any number of ...
Mortensen, Mikael
core  

Systematically Engineering for Efficient Production of 3‐Methyl‐1‐Butanol in Escherichia coli

Advanced Science, EarlyView.
An integrated metabolic engineering strategy was established for high‐level 3‐methyl‐1‐butanol biosynthesis in Escherichia coli. Molecular dynamics‐guided semi‐rational engineering of dihydroxyacid dehydratase uncovered and relieved key catalytic bottlenecks, while adaptive laboratory evolution enhanced strain robustness.
Nanfei Geng, Hao Liu, Haolin Han, Meng Meng, Shaojie Wang, Tianwei Tan, Haijia Su   +6 more
wiley   +1 more source