Results 131 to 140 of about 14,688 (306)
Technical Efficiency of Pakistan s Manufacturing Sector: A Stochastic Frontier and Data Envelopment Analysis [PDF]
This paper examines the efficiency of the large-scale manufacturing sector of Pakistan using parametric as well as non-parametric frontier techniques.
Ejaz Ghani, Musleh-ud Din, Tariq Mahmood
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Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Impact of Entry and Exit on Agribusiness-Trucking Industry Efficiency: Stochastic Frontier Analysis [PDF]
In this paper, the impact of entry and exit of firms on the overall efficiency of the industry is examined in the efficiency framework, using agribusiness-trucking firms for the period 1994-2003.
Allen, Albert J., Shaik, Saleem
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Posterior analysis of stochastic frontier models using Gibbs sampling [PDF]
, 1992 In this paper we describe the use of Gibbs sampling methods for making posterior inferences in stochastic frontier models with composed error. We show how the Gibbs sampler can greatly reduce the computational difficulties involved in analyzing such ...
Osiewalski, Jacek +2 more
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Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
On estimating the effectiveness of resources. A local maximum likelihood frontier approach on care for students [PDF]
To study education as a complex production process in a noisy and heterogeneous setting, this paper suggests to using a stochastic frontier model estimated by a local maximum likelihood approach (LMLSF). The LMLSF smoothly combines the virtues of the non-
De Witte, K., Verschelde, M.
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Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
On measuring indebtedness of African countries: A stochastic frontier debt production function [PDF]
At least since the early 1990s, the problem of Africa’s debt was a recurring theme in the development debate and many suggestions for debt relief have now been implemented.
Nkamleu, Guy Blaise
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Advanced Intelligent Discovery, EarlyView.Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
Energy demand and energy efficiency in the OECD countries: a stochastic demand frontier approach [PDF]
This paper attempts to estimate a panel ‘frontier’ whole economy aggregate energy demand function for 29 countries over the period 1978 to 2006 using stochastic frontier analysis (SFA).
Lester Hunt, Massimo Filippini
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