Results 111 to 120 of about 81,662 (309)

Estimation of technical efficiency of broiler production in Peninsular Malaysia: A stochastic frontier analysis

Journal of Business Management and Accounting, 2012
This study analyzed the technical efficiency of poultry production in Peninsular Malaysia using the stochastic frontier production function analysis. Time series data were collected for this purpose. The frontier function involved variables such as farm,
Ibrahim Yunus
doaj  

Aggregate Matching Efficiency : A Stochastic Production Frontier Approach, France 1990-1994 [PDF]

We evaluate the determinants of aggregate matching efficiency changes through a stochastic Cobb-Douglas production frontier model. The efficiency coefficient is represented by a stochastic function of variables meant to capture workers and firms ...
Aomar IBOURK, Béatrice MAILLARD, Henri R. SNEESSENS, Serge PERELMAN   +3 more
core  

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

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, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Estimating Production Risk and Inefficiency Simultaneously: An Application to Cotton Cropping Systems [PDF]

By using a stochastic frontier framework, the mutual effect of input use on production risk and inefficiency is investigated. Disentangling this mutual effect proves important for empirical reasons, at least when applied to west Tennessee cotton systems ...
Frechette, Darren L., Jaenicke, Edward C., Larson, James A.   +2 more
core   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

Advanced Intelligent Systems, EarlyView.
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, Liuchao Jin, Qi Ge, Wei‐Hsin Liao, Andrés Díaz Lantada, Francisco Franco Martínez, Tianyu Zhang, Tao Liu, Charlie C. L. Wang, Mohammad Hossein Mosallanejad, Reza Ghanavati, Abdollah Saboori, Alejandro De Blas De Miguel, William Solórzano‐Requejo, Yi Cai, Xiangyang Dong, Huangyi Qu, Najmeh Samadiani, Guangyan Huang, Austin Downey, Yanzhou Fu, Lang Yuan, Tsz‐Kwan (Glory) Lee, Arbind Agrahari Baniya, Eisha Waseem, Abdul Rahman Sani, Abbas Z. Kouzani, Yijia Wu, Markus P. Nemitz, Masoud Shirzad, Dageon Oh, Seung Yun Nam, Amedeo Franco Bonatti, Irene Chiesa, Gabriele Maria Fortunato, Giovanni Vozzi, Carmelo De Maria, Mahdi Bodaghi   +37 more
wiley   +1 more source

Factors causing the inefficiency of loan loss provision among Vietnam’s commercial Banks in the 2006-2014 period

Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Kinh tế và Quản trị kinh doanh, 2020
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  

Comparing productivity growth in conventional and grassland dairy farms [PDF]

This paper analyzes technical efficiency and productivity growth of dairy farms in southern Germany. We compare the performance of farms operating on permanent grassland and conventional farms using fodder crops from arable land.
Kellermann, Magnus, Salhofer, Klaus
core   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
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, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

PRODUCTION RISK REVISITED IN A STOCHASTIC FRONTIER FRAMEWORK: EVALUATING NOISE AND INEFFICIENCY IN COVER CROP SYSTEMS [PDF]

This paper investigates both risk and technical inefficiency in a general stochastic frontier framework that is consistent with the Just-Pope framework.
Jaenicke, Edward C., Larson, James A.
core   +1 more source

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

Advanced Intelligent Systems, EarlyView.
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk, Lingyin Meng, Christer Borgfeldt, Jens Eriksson, Donatella Puglisi   +4 more
wiley   +1 more source