Malicious PyPI packages give hackers control of Telegram bot servers

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
IEEE

SS-DBSCAN: Semi-Supervised Density-Based Spatial Clustering of Applications With Noise for Meaningful Clustering in Diverse Density Data

Abstract: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm designed to identify clusters of various shapes and sizes in noisy datasets by ...
Frontiers

Forecasting the fracture: a cost-driven machine learning framework for optimal bridge maintenance prioritization

Aging civil infrastructure presents a critical economic and public safety challenge, with maintenance backlogs costing hundreds of billions of dollars. This study moves beyond simple condition ...
Scientific Research Publishing

A Proposal of Genuine Computing Methods in Materials Informatics ()

In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to contribute to ...
GitHub

Implementation of DBSCAN Algorithm in Python.

It takes two inputs. First one is the .csv file which contains the data (no headers). In 'main.py' change line 12 to: DATA = '/path/to/csv/file.csv' And the second is the config file which contains ...
Frontiers

Context-dependent memory in the real world: the role of frequency and context dwell time

We investigated the context-dependent memory effect outside of the laboratory in order to examine whether the effect impacts everyday memory retrieval. We also examined various factors that may ...
Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...