Results 111 to 120 of about 280,972 (398)

Charting the Path to Increased Oil Palm Output in Ghana Beyond Area Expansion: Technology or Managerial Capacity — Which Leads the Way?

open access: yesAgribusiness, EarlyView.
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor   +3 more
wiley   +1 more source

Dynamic multi‐objective optimisation of complex networks based on evolutionary computation

open access: yesIET Networks, EarlyView., 2022
Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley   +1 more source

Bayesian Stochastic Frontier Analysis Using WinBUGS [PDF]

open access: yes
Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software.
Jim Griffin, Mark Steel
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Sensitivity of technical efficiency estimates to estimation methods: an empirical comparison of parametric and non-parametric approaches

open access: yesApstract: Applied Studies in Agribusiness and Commerce, 2014
This paper highlights the sensitivity of technical efficiency estimates to estimation approaches using empirical data. Firm specific technical efficiency and mean technical efficiency are estimated using the non parametric Data Envelope Analysis (DEA ...
Henry de-Graft Acquah
doaj   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

A comparison of parametric and nonparametric estimation methods for cost frontiers and economic measures

open access: yesJournal of Applied Economics, 2019
This article examines the empirical performance of alternative frontier estimators’ ability to replicate a known underlying technology and economic measures such as multi-product and product-specific economies of scale, and economies of scope.
Bryon J. Parman, Allen M. Featherstone
doaj   +1 more source

Efisiensi belanja administrasi pemerintah Kota Palembang: Pendekatan Stochastic Frontier Analysis

open access: yesJurnal Ekonomi Pembangunan, 2019
This study aims to find out the efficiency of the administration of Palembang City, 2002 – 2016 period in building the area with and components that caused whether or not administrative expenditure of an area was efficient. This study uses data secondary
Ririn Puji Astuti   +2 more
doaj   +1 more source

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