Key Components of Effective Financial Modeling

Learn how financial modeling projects future performance and supports strategic planning with essential components like ...
IEEE

Toward Load-Robust Motion Estimation Using an EMG-Driven State-Space Model With a Variable Stiffness Musculoskeletal Model

Abstract: Accurate and robust human motion estimation is essential for enabling effective electromyography (EMG) signal-driven neural-machine interfaces in daily activities. Variation in loading ...
Nature

AI models were given four weeks of therapy: the results worried researchers

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...

Assessing Lakeland Financial (LKFN) Valuation As A Rich P/E Meets A Discounted DCF Estimate

Lakeland Financial (LKFN) is drawing attention after recent share performance metrics showed mixed signals, with a small 1 day gain and negative returns over the past 3 months and year for long term ...
Government Technology

Using Machine Learning to Understand College Closures

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
GitHub

model-context-protocol

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for ...
BMJ Open

Optimising regional organisation of endovascular thrombectomy for ischaemic stroke reusing a simulation model

Objectives This study assessed whether a previously developed Monte Carlo simulation model can be reused for evaluating various strategies to minimise time-to-treatment in southwest Netherlands for ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
IEEE

Online Estimation of Model Parameters and State of Charge for Lithium-Ion Battery Using Multitimescale Recurrent Neural Networks

Abstract: Accurate estimation of battery parameters and state is significant for new energy electric vehicles. In this work, a novel online estimation method is proposed for a second-order equivalent ...

Predict Consumer Behavior with Effective Behavioral Modeling Techniques

Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting and enhance risk assessment.