Results 121 to 130 of about 14,688 (306)
Technical inefficiency and public capital in US States: A stochastic frontier approach [PDF]
This paper estimates a translog stochastic frontier production function in the analysis of all 48 contiguous U.S. states in the period 1970-1983, to attempt to measure and explain changes in technical efficiency.
Jaume Puig
core
Stochastic frontier model for cost and profit efficiency of Islamic online banks [PDF]
Are Islamic online banks stable and efficient? This paper addresses this question.Parametric technique, Stochastic Frontier Analysis is used to evaluate and compare the cost and profit efficiency of the Islamic banks in Bangladesh over the period of 2001-
Begum, Shakera, Baten, Md Azizul
core
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source
The research uses the Stochastic Frontier Model to examine the inefficiency of loan loss provision (LLP) and its determinants in the Vietnamese banking industry employing a panel regression of 23 commercial banks from 2006 to 2014.
Lê Long Hậu, Nguyễn Ái Nhi
doaj
Efficiency of Large Scale Manufacturing in Pakistan : A Production Frontier Approach [PDF]
This paper examines the efficiency of the large scale manufacturing sector of Pakistan using the stochastic production frontier approach. A stochastic production frontier is estimated for two periods1995-96 and 2000-01for 101 industries at the 5-digit ...
Ejaz Ghani, Tariq Mahmood, Musleh-ud Din
core +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
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
STOCHASTIC FRONTIER ANALYSIS OF NEW ZEALAND'S MANUFACTURING INDUSTRIES: SOME EMPIRICAL RESULTS [PDF]
This paper examines the sources of total factor productivity growth (TFP) in New Zealand's manufacturing industries over the period 1978-98 and over various sub-periods. Examination of the data adopts two stages using a stochastic frontier approach.
Xayavong, Vilaphonh, Gounder, Rukmani
core +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 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
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source

