IEEE

Early Detection of Sepsis by using Attention based Recurrent Neural Networks with Shapley Additive Exp lanations

Abstract: In recent years, the severe sepsis and infected shocks are becoming a maj or source of death in Intensive Care Units (ICU), which needs timely diagnosis for the effective treatment outcomes.
InfoWorld

CPython vs. PyPy: Which Python runtime has the better JIT?

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.
GitHub

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
Hosted on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
GitHub

LangFair: Use-Case Level LLM Bias and Fairness Assessments

LangFair is a comprehensive Python library designed for conducting bias and fairness assessments of large language model (LLM) use cases. This repository includes various supporting resources, ...
IEEE

Driver’s Fatigue Classification based on Physiological Signals Using RNN-LSTM Technique

Abstract: One of the major reasons for road accidents is driver’s fatigue which causes several fatalities every year. Various studies on road accidents have proved that 20% of the accidents are caused ...