Results 21 to 30 of about 385,906 (307)
The work is devoted to the consideration and solution of the problems of object detection efficiency. This article analyzes object detection methods. The existing methods and systems of object detection are considered.
Daria Koshutina, Svetlana Antoshchuk
doaj +1 more source
Python SystemVerilog (Python SV)
Python SystemVerilog is an emerging methodology for developing advanced verification environments. Python is a high-level programming language with a wide range of libraries and frameworks that can be utilized for various applications. SystemVerilog, on the other hand, is the hardware description language used to describe digital logic circuits and ...
openaire +1 more source
ShruthLaikh: Employing Python to Develop Vocabulary Enhancing Application [PDF]
This paper presents how the power of Python, its various modules and Artificial Intelligence techniques can be integrated into a very useful and effective English spelling-correcting and vocabulary-enhancing application.
core +4 more sources
Ce travail de rédaction et de suivi du CAS en neurosciences de l’éducation présente un projet d’intervention pédagogique auprès d’adolescents ayant subi du harcèlement.
Christelle Barbezat Python
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Digital/Analog Performance Optimization of Vertical Nanowire FETs Using Machine Learning
Vertical nanowire field-effect transistors (NWFETs) have been optimized to maximize digital and analog performances using fully-calibrated TCAD and machine learning (ML) technique.
Jun-Sik Yoon +3 more
doaj +1 more source
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura +2 more
wiley +1 more source
A Python Experiment Suite [PDF]
We introduce the Python Experiment Suite, an open source software tool written in Python, that supports scientists, engineers and others to conduct automated generic software experiments on a larger scale with numerous features: parameter ranges and ...
core +1 more source
Mining activities significantly impact the environment, necessitating effective, continuous monitoring. Traditional surface monitoring methods are often costly and labor-intensive.
Mulkal Mulkal, Yoessi Oktarini
doaj +1 more source
Clustering is the unsupervised machine learning process that group data objects into clusters such that objects within the same cluster are highly similar to one another.
Zahid Rahman +3 more
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source

