Results 151 to 160 of about 546,227 (357)

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Performance of machine learning tools. Comparve analysis of libraries in interpreted and compiled programming languages

Journal of Computer Sciences Institute
The article compares machine learning tools using the example of several popular programming languages. Existing tools in the following programming languages were tested and compared with each other: Python, Java, R, Julia, C#. For the needs of article,
Tomasz Wiejak, Jakub Smołka
doaj   +1 more source

Social Consequences of Commitment [PDF]

This paper begins with a detailed computational introduction to a classic ACE model: an evolutionary prisoner's dilemma. The paper presents a simple but fully coded object oriented implementation of this model.
Isaac, Alan G
core   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

AUTOIMPORT OF A LARGE VOLUME INFORMATION INTO A DATABASE USING THE PYTHON PROGRAMMING LANGUAGE

, 2023
Roman R. Krapivin, Yuri M. Filatov, Gulnara A. Gareeva, Aigul G. Faizullina, I. Myshkina   +4 more
openalex   +2 more sources

Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications

Advanced Intelligent Systems, EarlyView.
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari, Sachin Kadian, Mukund Vora, Pradyumna Vemuri, Sumit Kumar, Om Prakash Verma, Roger J. Narayan   +6 more
wiley   +1 more source

Comparative Analysis of Numerical Integration Solutions Pias Method and Newton Cotes Method Using Python Programming Language

, 2023
Santi Puteri Rahayu, Achmad Hindasyah
openalex   +2 more sources

AKG‐VO: Adaptive Keyframe Generation Method for Improving Visual Odometry in Autonomous Vehicles

Advanced Intelligent Systems, EarlyView.
An adaptive keyframe generation method for pose estimation is proposed, incorporating optical flow‐based interframe gap estimation and video frame interpolation techniques. By limiting interframe gaps, meaningful keyframes are generated to enhance tracking reliability.
Donghyun Lee, I Made Putra Arya Winata, Beomsu Cho, Junghyun Oh   +3 more
wiley   +1 more source

Forecasting Research Trends Using Knowledge Graphs and Large Language Models

Advanced Intelligent Systems, EarlyView.
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak, Yang Jeong Park, Chia‐Wei Hsu, Payden Brown, Dario Massa, Piotr Sankowski, Ju Li, Stefanos Papanikolaou   +7 more
wiley   +1 more source

Accelerating Pinned Insect Specimen Digitization: A Deep Learning Pipeline for Future Collaborative Robots

Advanced Intelligent Systems, EarlyView.
The study presents a prototype novel workflow that utilizes artificial intelligence for the digitization of natural history collections, which would fit within a robotic‐integrated system. The work focuses on a collaborative‐robot (cobot) inspired workflow to digitize one of the largest collections housed at the Natural History Museum UK: pinned ...
Naifeng Zhang, Arianna Salili‐James, Sanson T. S. Poon, Jack D. Hollister, Ben Scott   +4 more
wiley   +1 more source