Nature

Ensemble machine learning models for predicting strength of concrete with foundry sand and coal bottom ash as fine aggregate replacements

Natural sand scarcity and environmental concerns have encouraged the adoption of industrial waste materials in sustainable concrete. Foundry sand (FS) and coal bottom ash (CBA), both industrial waste ...
Nature

Prediction of concrete compressive strength using a Deepforest-based model

Concrete compressive strength testing is crucial for construction quality control. The traditional methods are both time-consuming and labor-intensive, while machine learning has been proven effective ...
Europe PMC

IDAC: Federated Learning-Based Intrusion Detection Using Autonomously Extracted Anomalies in IoT.

The recent rapid growth in Internet of Things (IoT) technologies is enriching our daily lives but significant information security risks in IoT fields have become apparent. In fact, there have been ...
C&EN

Non-Noble Metal Incorporated Transition Metal Dichalcogenide Monolayers for Electrochemical CO

State Key Laboratory of Mechanics and Control for Aerospace Structures, MOE Key Laboratory for Intelligent Nano Materials and Devices, College of Aerospace Engineering, Nanjing University of ...
LinkedIn

Python lib : Gooey

In case you don't know the Gooey library, I recommend you have a look at it, especially if you write CLI #Python scripts. With Gooey, in just a few lines, you can create a basic yet friendly graphic ...
GitHub

Python and wxPython Learning Trail.

sudo apt-get install -y python-pip sudo pip install pip --upgrade sudo pip install -U --no-cache-dir \ -f https://extras.wxpython.org/wxPython4/extras/linux/gtk3 ...
GitHub

hs-logger/wx_gui.py

self.new_job_b = wx.Button(self, wx.ID_ANY, u"New Job", wx.DefaultPosition, wx.DefaultSize, 0) self.new_job_b.Enable(False) bSizer28.Add(self.new_job_b, 0, wx.ALL, 5 ...