Results 71 to 80 of about 1,067,034 (238)

Negotiating transfer pricing using the Nash bargaining solution

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2017
This paper analyzes and proposes a solution to the transfer pricing problem from the point of view of the Nash bargaining game theory approach. We consider a firm consisting of several divisions with sequential transfers, in which central management ...
Clempner Julio B., Poznyak Alexander S.
doaj   +1 more source

A Randomized Proper Orthogonal Decomposition Method for Reducing Large Linear Systems [PDF]

open access: yes, 2015
The proper orthogonal decomposition (POD) method is a powerful tool for reducing large data systems which can quickly overwhelm modern computing tools. In this thesis we provide a link between randomized projections and statistical methods by introducing
Marvin, Brad
core  

Transfer Learning in Computer Vision

open access: yes, 2023
Transfer learning has become an important technique in computer vision, allowing models to take knowledge from pre-trained models and adapt it to new tasks. Transfer learning addresses challenges using pre-trained models that have learned common visual characteristics from large datasets such as ImageNet.
Rohit Katageri   +2 more
openaire   +1 more source

IMPLEMENTATION OF THE PARALLEL ALGORITHM OF NONISOTHERMAL HEAT AND MOISTURE MIGRATION TASK SIMULATION IN NATURAL DISPERSE ENVIRONMENTS

open access: yesInformatika, 2016
The results of the developed algorithm of parallel computing program implementation of non-isothermal moisture transfer in natural dispersed environments in the Matlab package are considered.
P. K. Shalkevich   +2 more
doaj  

Compatibility Analysis of Urban Rail Transit Train Control System and Cloud-Edge Computing

open access: yesChengshi guidao jiaotong yanjiu
[Objective] To address the limitations of traditional urban rail transit train control systems that solely rely on the “fault-safety” principle, the feasibility of meeting the SIL4 standard is explored by introducing the cloud-edge computing technology ...
ZOU Hongfeng
doaj   +1 more source

Spin‐Transfer‐Torque Magnetic Tunnel Junction Nonlinear In‐Sensor Computing Synapse for Improving the Performance of the Feedforward Neural Network

open access: yesAdvanced Intelligent Systems
In‐sensor computing architecture has a great advantage especially in massive data sampling, transfer, and processing compared with the separated intelligent sensor systems.
Minhui Ji   +13 more
doaj   +1 more source

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