Results 61 to 70 of about 109,032 (273)
Analysis and Optimization of Aperture Design in Computational Imaging
, 2017 There is growing interest in the use of coded aperture imaging systems for a variety of applications. Using an analysis framework based on mutual information, we examine the fundamental limits of such systems---and the associated optimum aperture coding--
Thrampoulidis, Christos +2 more
core +1 more source
The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics
Agribusiness, EarlyView.ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley +1 more source
Balancing Privacy and Performance: A Differential Privacy Approach in Federated Learning
ComputersFederated learning (FL), a decentralized approach to machine learning, facilitates model training across multiple devices, ensuring data privacy. However, achieving a delicate privacy preservation–model convergence balance remains a major problem ...
Huda Kadhim Tayyeh +1 more
doaj +1 more source
Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
Agribusiness, EarlyView.ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
wiley +1 more source
A Skills Gap Analysis of Farmer Directors of US Farmer Cooperatives
Agribusiness, EarlyView.ABSTRACT Boards of directors are vital to firm performance and are an integral part of the decision‐making process of any business. Several studies have been conducted that observe corporate or nonprofit board characteristics, skills, and the board's connection to firm performance.
Jody S. Herchenbach +5 more
wiley +1 more source
Randomized Dimension Reduction on Massive Data [PDF]
, 2013 Scalability of statistical estimators is of increasing importance in modern applications and dimension reduction is often used to extract relevant information from data.
Georgiev, Stoyan, Mukherjee, Sayan
core
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
, 2018 We envision a mobile edge computing (MEC) framework for machine learning (ML) technologies, which leverages distributed client data and computation resources for training high-performance ML models while preserving client privacy. Toward this future goal,
Nishio, Takayuki, Yonetani, Ryo
core +1 more source
Agribusiness, EarlyView.ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah +4 more
wiley +1 more source
Adding Data Quality to Federated Learning Performance Improvement
IEEE AccessMassive data generation from Internet of Things (IoT) devices increases the demand for efficient data analysis to extract relevant and actionable insights. As a result, Federated Learning (FL) allows IoT devices to collaborate in Artificial Intelligence (
Ernesto Gurgel Valente Neto +4 more
doaj +1 more source
Analysis and Improvement of Entropy Estimators in NIST SP 800-90B for Non-IID Entropy Sources
IACR Transactions on Symmetric Cryptology, 2017 Random number generators (RNGs) are essential for cryptographic applications. In most practical applications, the randomness of RNGs is provided by entropy sources.
Shuangyi Zhu +4 more
doaj +1 more source