Results 21 to 30 of about 192,445 (256)

Prediction of Heart Disease using Biomedical Data through Machine Learning Techniques [PDF]

EAI Endorsed Transactions on Pervasive Health and Technology, 2021
INTRODUCTION: Random Forests are an important model in machine learning. They are simple and very effective classification approach. The random forest identifies the most important features of a given problem.
Nagaraj Lutimath, Neha Sharma, Byregowda K   +2 more
doaj   +1 more source

ShruthLaikh: Employing Python to Develop Vocabulary Enhancing Application [PDF]

, 2010
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   +2 more sources

L'impact du harcèlement sur le cerveau des adolescent·e·s : une intervention visant à soutenir la résilience

Cortica
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
doaj   +1 more source

Digital/Analog Performance Optimization of Vertical Nanowire FETs Using Machine Learning

IEEE Access, 2021
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, Seunghwan Lee, Hyeok Yun, Rock-Hyun Baek   +3 more
doaj   +1 more source

A Python Experiment Suite [PDF]

, 2010
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

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

FEBS Letters, EarlyView.
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, Shin‐ichi Tate, Kyota Yasuda   +2 more
wiley   +1 more source

Urdu News Clustering Using K-Mean Algorithm On The Basis Of Jaccard Coefficient And Dice Coefficient Similarity

Advances in Distributed Computing and Artificial Intelligence Journal, 2022
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, Altaf Hussain, Hussain Shah, Muhammad Arshad   +3 more
doaj   +1 more source

Stackless Python 101 - Handout [PDF]

, 2009
An introduction to Stackless Python, showing what it is useful for and how to use ...

core  

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
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, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Automating Mining Surface Monitoring using SpatioTemporal Asset Catalog(STAC): A Spectral Index Approach with Sentinel-2 Satellite Imagery

Jurnal Rekayasa Elektrika
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