Learning to code can feel overwhelming with so many languages, frameworks, and tools to choose from. The Ultimate Web Development & Coding bundle makes it simple by giving you everything you need in ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...

Abstract: The early detection of cardiac conditions depends on ECG signal classification. ECG signals have been classed very well with the development of machine learning, particularly with deep ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Abstract: The analysis of ECG signals plays an important role in healthcare, particularly for the detection of heart conditions such as arrhythmia, coronary artery disease, or heart attack. Accurate ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

ABSTRACT: This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. It ...

TIOBE Programming Index News August 2025: AI Copilots Are Boosting Python’s Popularity Your email has been sent Generative AI can be a self-fulfilling prophecy: Because gen AI scans vast amounts of ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

The model is trained solely on ECG signals using HRV and EDR features with an LSTM-based neural network.