Results 141 to 150 of about 61,950 (353)
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
Determinants of Credit Constraint Conditions and Production Efficiency Among Farming Households in Southwestern Nigeria [PDF]
Sustaining and improving production efficiency of resource poor smallholder farmers under the existing credit constraint conditions require the improvement of access to credit facilities and other factors involved.
Lawal, Justina Oluwayemisi +2 more
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
Farm Productivity and Efficiency in Rural Bangladesh: The Role of Education Revisited [PDF]
This paper reassesses the debate over the role of education in farm pro duction in Bangladesh using a large dataset on rice producing hous eholds from 141 villages.
Asadullah, M. Niaz, Rahman, Sanzidur
core +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies [PDF]
A number of studies have explored the semi- and nonparametric estimation of stochastic frontier models by using kernel regression or other nonparametric smoothing techniques. In contrast to popular deterministic nonparametric estimators, these approaches
Kortelainen, Mika
core +1 more source
Productive efficiency of tea industry: A stochastic frontier approach
In an economy where recourses are scarce and opportunities for a new technology are lacking, studies will be able to show the possibility of raising productivity by improving the industry’s efficiency. This study attempts to measure the status of technical efficiency of tea-producing industry for panel data in Bangladesh using the stochastic ...
Baten, A, Kamil, AA, Haque, MA
openaire +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
ANALISIS EFISIENSI INDUSTRI KECIL BERDASARKAN ANALISIS STOCHASTIC FRONTIER
The aimed of this study is to analyze the achievement of technical efficiency in small businesses. The input factors that were analyzed are capital and worker, while the output factor is the product of the firm. Analysis using stochastic frontier.
M. Farid Wajdi
doaj
Does Work Time Flexibility Work? An Empirical Assessment of the Efficiency Effects for German Firms [PDF]
In this paper we assess the impact of flexible work time schedules on firm efficiency using representative establishment data for Germany. Following the approach by Battese and Coelli (1995), we estimate a stochastic production frontier and the ...
Beblo, Miriam, Wolf, Elke
core

