Genome editing lets scientists rewrite DNA, the instruction manual inside every living cell, with a precision that was unthinkable a generation ago. Technologies such as CRISPR have made this almost ...

OpenAI is rolling out the full, limited-release version of GPT-5.5-Cyber—a specialized AI model that outperforms its ...

IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification ...

The power of Python trumps Excel workbooks.

Analysis of Variance (ANOVA) is one of those things that make your end-users think that Power BI is not the tool for them and that R, Python or even Excel should be used. They might be correct, but if ...

Abstract: This study develops a random forest and support vector machine model combined with various technical indicators for stock price analysis. This model uses these indicators as input features ...

The precise maturity quality classification of guava is crucial at farm level, retail, storage, and supply chain. The manual classification causes substantial postharvest losses, which increases the ...

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

I am a huge fan of Danielle Navarro's book Learning Statistics with R. It is the most accessible statistics book I know of. My students love it. I love it. It's free, and it comes in not only R, but ...

Continuous bed motion (CBM) for long–axial-field-of-view PET/CT enables swift total-body examination of patients. However, the sensitivity profile along the axial field of view (AFOV) varies ...

To develop a Python-based digital technique for accurate measurement of pupil size, corneal size, and eccentricity in guinea pigs, and to validate its efficiency and accuracy against traditional OCT ...

Abstract: Air pollution poses a critical global health challenge requiring accurate prediction systems. This paper evaluates eleven machine learning models for air quality classification using the ...