Results 101 to 110 of about 60,822 (305)
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
This paper investigates the technical efficiency of selected manufacturing industries of Bangladesh using a stochastic frontier production function approach suggested by Battese and Coelli (1992) applied to panel data. A feasible Cobb-Douglas stochastic
Md. Azizul Baten +3 more
doaj
Decomposition of Total Factor Productivity Change in the U.S. Hog Industry [PDF]
The U.S. hog industry has experienced dramatic structural changes and rapid increases in farm productivity. A stochastic frontier analysis is used to measure hog enterprise total factor productivity (TFP) growth between 1992 and 2004 and to decompose ...
Key, Nigel D. +2 more
core +1 more source
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
Performance Analysis of Small Scale Sweet Potato Farms in Oyo State, Nigeria
This study carried out an analysis of the performance of sweet potato production among small holder farmers in Oyo State of Nigeria. A combination of purposive and a two-stage random sampling technique were used to obtain information from 65 respondents.
Baruwa Olayinka Isiaka
doaj +1 more source
A Model of the Production Potential with Managed Factors of Inefficiency [PDF]
The results of applied research on estimation of the production potential based on the methodology of the stochastic frontier production function are presented in the paper. The comparative analysis of the stochastic frontier models by means of estimates
Afanasiev, Mikhail
core
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
A stochastic production frontier model with a translog specification using the generalized maximum entropy estimator [PDF]
In this paper, an empirical application of the generalized maximum entropy estimator in a stochastic production frontier model with a translog specification is discussed to investigate technical efficiency in a wine region of Portugal.
Elvira Silva, Pedro Macedo
core
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Stochastic Frontier Production Function With Errors-In-Variables
This paper develops a procedure for estimating parameters of a cross-sectional stochastic frontier production function when the factors of production suffer from measurement errors. Specifically, we use Fuller's (1987) reliability ratio concept to develop an estimator for the model in Aigner et al (1977).
Dhawan, Rajeev, Jochumzen, Peter
openaire +4 more sources

