AZoBuild

Machine Learning Improves Strength Predictions in Concrete

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

Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and ...

2 State Key Laboratory of Trauma and Chemical Poisoning, Chongqing, China 3 Chongqing Key Laboratory of Hematology and Microenvironment, Chongqing, China Participants This study analysed 471 newly ...
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 ...
note

How to Build Your Own Horse Racing AI? An Introduction to Horse Racing Prediction with Python

Since you decide your bets based on the win probability and expected value generated by the AI, you can compete without wavering. It is common to build horse racing AI using a language called Python.
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 ...
IEEE

Rainfall Prediction Using Machine Learning

Abstract: The title is “Rainfall Prediction Using Machine Learning”. The initiative's dataset is written in Python and stored in Microsoft Excel. A wide range of machine learning algorithms are used ...
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 ...