NEJM Catalyst

SENTRY — A Systems-Based Model for Quality and Safety Surveillance with Continuous Quality Improvement in Emergency Care

Leaders at the Yale School of Medicine Department of Emergency Medicine have developed a comprehensive cross-domain approach ...

Adaptive Identity Verification: Engineering MFA for Real-Time Risk in Zero-Trust Systems

Zero-trust has fundamentally reshaped the cybersecurity paradigm with a principle that is both simple and uncompromising: ...
pharmaphorum

On the ICH E20 draft guideline (2025) for adaptive clinical trials

This article reviews the scope, key principles, methodological expectations, and regulatory implications of ICH E20, and ...

Take control of your connectivity with Telstra’s Adaptive Networks Centre

Telstra’s Adaptive Networks Centre gives businesses real-time control, flexibility and visibility over their networks.
EDN

Rohm launches PFC + flyback control reference design

Rohm Semiconductor has introduced a new reference design that can control two commonly used power converter types— critical conduction mode (CCM) power factor correction (PFC) and quasi-resonant ...
Electronic Design

In an Uncertain World, Adaptable Process Control is the Smart Move

How self-tuning can support an adaptive control strategy. How Model Reference Adaptive Control can improve adaptability. The different types of MRAC. A certain amount of flexibility is always good to ...
IEEE

A Novel Model Reference Adaptive Control Approach for Three-Phase Inverter Applications

Abstract: This paper presents an innovative control strategy for three-phase inverters. The proposed model reference adaptive control utilizes the Torelli Control Box (TCB) methodology, previously ...
IEEE

Multiple Model Reference Adaptive Control With Blending for Nonsquare Multivariable Systems

Abstract: In this article, we develop a multiple model reference adaptive controller (MMRAC) with blending. The systems under consideration are nonsquare, i.e., the number of inputs is not equal to ...
Frontiers

Computer vision model based robust lane detection using multiple model adaptive estimation methodology

Lane-keeping systems are a major part of advanced driver assistance systems (ADAS). Existing lane detection algorithms are based on either Computer Vision (CV) models or deep learning techniques which ...