Results 121 to 130 of about 61,950 (353)
Dynamics of Maize Production in Changing Climatic Scenario of Bihar: A Stochastic Frontier Approach
, 2023 Sundaragiri Rahaman
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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
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.
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Technical Efficiency of Carrot Production in the Asante-Mampong Municipality Using Stochastic Frontier Analysis [PDF]
, 2019 Isaac Abunyuwah +2 more
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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
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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
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 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.
core
The Circular Economy Approach to Production Inefficiency: A Stochastic Frontier Analysis
, 2022 Bilgen Taşdoğan
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