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

In ecology, the principle holds that the more diverse and heterogeneous a habitat is, the more different species it supports.

An ever-expanding accumulation of research provides broad empirical support for engaging with nature as a wonderfully ...

Abstract: This paper proposes a three-phase feature selection framework for malicious URL detection using both machine learning and deep learning models. Initially, 50 static URL-based features are ...

Highlights of Python 3.15, now available in beta, include lazy imports, faster JITs, better error messages, and smarter profiling. The first full beta of Python 3.15 ...

variable, as long as the model has the capacity to use them to overfit. This example shows how to use Permutation Importances as an alternative that can mitigate those limitations.

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

While most of the world’s 4,000 snake species pose little threat to humans, a handful of giants are powerful enough to take down deer, crocodiles, and even other top predators. From Indian and African ...

ABSTRACT: Sugar content in cashew apples is a critical indicator of fruit quality and maturity, directly influencing processing and market value. This study explores the use of spectral indices ...

Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...

This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates Random Forest ...