AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
note

The boy who used to take apart radios started writing Python in his 50s

I started learning Python after I turned 50. That was also when I started working seriously with data analysis, AI, and AWS. I haven't been in IT my whole life since I was young. In fact, I think I've ...

Millions of AI agents imperiled by critical vulnerability in open source package

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...
Frontiers

A machine learning-based classification model for interstitial lung disease in rheumatoid arthritis

This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...
jnis.bmj

An explainable machine learning model for predicting the outcome of ischemic stroke after mechanical thrombectomy

Correspondence to Dr Yun Xu, Neurology, Nanjing University Medical School Affiliated Nanjing Drum Tower Hospital, Nanjing, China; xuyun20042001{at}aliyun.com Background There is high variability in ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs, k-NN, Naive Bayes, GPR, Isolation Forest), or a URDF robot description — runs it ...
IEEE

Enhancing Code Smell Detection Performance in Python Programming Language : A Comparative Study

Abstract: Code smell is one of the problems in programming which indicates that a problem has occurred, where there is something less than ideal in the code even though the code can run well. This ...
GitHub

NARMAX Methods For System Identification and TimeSeries Forecasting

SysIdentPy is an open-source Python module for System Identification using NARMAX models built on top of numpy and is distributed under the 3-Clause BSD license. SysIdentPy provides an easy-to-use and ...
Analytics Insight

Best Python Libraries for Machine Learning in 2025

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks. New libraries like JAX, Polars, and LangChain offer speed, scalability, and real-time ML ...
Scientific Research Publishing

Credit Score Classification Using Advanced Machine Learning: A Comprehensive Approach ()

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...
Frontiers

Use of CatBoost algorithm to identify the need for surgery in infants with necrotizing enterocolitis

Early identification of infants with necrotizing enterocolitis (NEC) at risk of surgery is essential for an effective treatment. This study aims to clarify the risk factors of surgical NEC and ...