Thorax

Performance of multivariable risk prediction algorithms in predicting COPD exacerbations: a population-based study

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
BMJ

Performance of an ultrasound diagnostic algorithm for acute dyspneic patients in the emergency department: an EMERALD-US protocol

Introduction Dyspnoea frequently leads to admissions in the Emergency Department (ED). Rapid and accurate diagnosis, specifically to distinguish acute heart failure from pneumonia and exacerbations of ...
Frontiers

A combined approach to lithology identification using reinforcement learning and transformer algorithms

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...
GitHub

Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces

Gradient-Free-Optimizers is a Python library for gradient-free optimization of black-box functions. It provides a unified interface to 23 optimization algorithms, from simple hill climbing to Bayesian ...
IEEE

VLSI Design of an SVM Learning Core on Sequential Minimal Optimization Algorithm

Abstract: The sequential minimal optimization (SMO) algorithm has been extensively employed to train the support vector machine (SVM). This work presents an efficient application specific integrated ...
IEEE

Design of RF-Input Sequential LMBA Using PSO Algorithm With Improved Linear Self-Adaptive Hyper-Parameters

Abstract: In this article, an improved particle swarm optimization (PSO) algorithm is proposed for the realization of a wideband RF-input sequential load modulation balanced amplifier (SLMBA). A ...
BMJ

Repurposing of dextromethorphan as an adjunct therapy in patients with major depressive disorder: a randomised, group sequential adaptive design, controlled clinical trial protocol

Background Therapeutic latency, lack of efficacy and adverse drug reactions are the major concerns in current antidepressant therapies. To overcome these treatment hurdles, add-on therapy to ...
Frontiers

Mass Integration for Rigorous Process Modelling: A Sequential Approach for Direct Recycling

Mass integration has been used for reducing the amount of process waste and environmental impact. Despite its long history, new challenges constantly arise with the use of process simulation tools ...
Strategy+Business

The algorithmic trade-off between accuracy and ethics

Strava, a San Francisco–based fitness website whose users upload data from their Fitbits and other devices to track their exercise routines and routes, didn’t set out to endanger U.S. military ...