AZoBuild

Recycling Rice Husks: ML Models Pinpoint Best Blend for Stronger Concrete

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...
Entrepreneur

How To Validate Your Business Model

Having a sound business model is crucial because it is the blueprint that guides a company’s actions and helps to align its business processes and strategies. It is a critical tool for internal ...
Entrepreneur

How To Use Analytics And KPIs To Validate The Financials Of Your Business Model

Gathering and analyzing data is essential for validating and refining your business model. Important KPIs to monitor might include user acquisition cost, lifetime value of a customer, churn rate, ...
GitHub

Nonlinear Regression: Estimating Hand-to-Camera Distance

This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the relative positions of hand landmarks in 2D images. The ...
C&EN

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
C&EN

Q-Learning-Based Multivariate Nonlinear Model Predictive Controller: Experimental Validation on Batch Reactor for Temperature Trajectory Tracking

Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576 104, India ...
Frontiers

Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China

Introduction: Chinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ...
jnis.bmj

Development and validation of an explainable machine learning prediction model for futile recanalization after mechanical thrombectomy in acute large vessel occlusion stroke

Background Mechanical thrombectomy (MT) is the primary treatment for acute ischemic stroke (AIS) caused by large vessel occlusion (LVO). However, the likelihood of futile recanalization (FR) at 90 ...
Frontiers

Construction and validation of a predictive model for the risk of prolonged preoperative waiting time in patients with intertrochanteric fractures

1 First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China 2 Department of Orthopedic Surgery, Afliated Hospital of Shandong University of Traditional Chinese Medicine ...