Results 131 to 140 of about 810,157 (316)
On-line optimisation and experimental design analysis for the investigations on the surface roughness produced by roller burnishing: a thesis submitted in partial fulfilment of the requirements for the degree of Master of Technology in Manufacturing and Industrial Technology at Massey University [PDF]
This thesis describes the improvement of the Surface finish of metals by a cold working, non-metal removal and plastic deformation process called roller burnishing. Roller burnishing is a popular finishing process.
Koorapati, Eshwara Prasad
core
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Steatite is a mineral which has been employed in the carving of elements in facades of Brazilian historical buildings and churches since the 17th century.
Túlio Hallak Panzera +4 more
doaj
Using Experiments to Foster Innovation and Improve the Effectiveness of Energy Efficiency Programs [PDF]
This paper argues that the establishment of a process designed to manage innovation must be developed in California to foster the creation of needed program improvements and develop new and more effective energy efficiency delivery programs.
Sullivan, Michael J
core +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
The aim of this research is to optimize the process parameters for nitrate adsorption from aqueous solutions using ammonium modified calabash gourd shell (CGS). Two types of experimental design (DoE) methodology were implemented in the optimization.
Goran S. Nikolić +7 more
doaj +1 more source
Determining the influence and effects of manufacturing variables on sulfur dioxide cells [PDF]
A survey of the Li/SO2 manufacturing community was conducted to determine where variability exists in processing. The upper and lower limits of these processing variables might, by themselves or by interacting with other variables, influence safety ...
Barnes, J. A. +7 more
core +1 more source
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
A preclinical mouse model mimicking the ovarian cancer‐induced estrogen deficiency‐depression axis
A preclinical mouse model of ovarian cancer–related depression was developed by combining intraperitoneal tumor cell injection, ovariectomy, and chronic restraint stress. The model replicates key clinical features including estrogen deficiency, depressive‐like behaviors, and tumor progression, and provides a reliable tool for studying the endocrine ...
Jiamin Liu +6 more
wiley +1 more source

