Abstract: This paper presents a novel approach to analyzing Bluetooth signals using deep learning with neural networks. Due to their complex properties, Bluetooth signals require advanced methods for ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

Objective The first hour after birth is a sensitive period for the mother–newborn dyad and, according to evidence-based routines, should be respected and protected. However, a gap exists between the ...

Since this blog is about so-called alternative medicine (SCAM), let’s also see what the contribution of SCAM has been. Here is a list of Nobel prizes in Physiology/Medicine by healthcare professions: ...

Objectives Frequent use of emergency departments (EDs) places a considerable burden on healthcare systems. Although frequent attenders are known to have complex physical, mental health and social ...

Official support for free-threaded Python, and free-threaded improvements Python’s free-threaded build promises true parallelism for threads in Python programs by removing the Global Interpreter Lock ...

Data quality is critical for successful data processing, with robust statistics essential for handling outliers and ensuring accurate representation. The standard deviation is sensitive to outliers, ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...

The OHIO Digital Accessibility Network (OHIO-DAN) continues its 2025 series with a practical habit that benefits everyone: writing descriptive links. Whether you’re sharing content online or in ...

This R Markdown document performs data cleaning and exploratory analysis on the TB dataset using Python. It includes loading the dataset, basic exploration, visualization, and data preprocessing. This ...

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