Results 41 to 50 of about 35,691 (191)
Applying Bayesian Neural Networks to Event Reconstruction in Reactor Neutrino Experiments
, 2008 A toy detector has been designed to simulate central detectors in reactor neutrino experiments in the paper. The electron samples from the Monte-Carlo simulation of the toy detector have been reconstructed by the method of Bayesian neural networks (BNN ...
Apollonio +10 more
core +1 more source
Journal of Advances in Modeling Earth Systems, 2022 The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be problematic given the increasing use of neural networks in high stakes decision‐making such as in climate
Mariana C. A. Clare +4 more
doaj +1 more source
Matrik, 2022 This study aimed to analyze the factors that influence employee behavior due to limited land at the BNN Rehabilitation Center, with a quantitative approach using factor analysis methods. The research sample was the staff of the BNN Rehabilitation Center,
Palupi Lindiasari Samputra +1 more
doaj +1 more source
The effects of entrepreneurship education [PDF]
, 2009 Entrepreneurship education ranks high on policy agendas in Europe and the US, but little research is available to assess its impact. To help close this gap we investigate whether entrepreneurship education a?ects intentions to be entrepreneurial ...
Acs +60 more
core +7 more sources
Refining mass formulas for astrophysical applications: a Bayesian neural network approach
, 2017 Exotic nuclei, particularly those near the driplines, are at the core of one of the fundamental questions driving nuclear structure and astrophysics today: what are the limits of nuclear binding?
Piekarewicz, Jorge, Utama, Raditya
core +1 more source
Bayesian neural network modeling of tree-ring temperature variability record from the Western Himalayas [PDF]
Nonlinear Processes in Geophysics, 2011 A novel technique based on the Bayesian neural network (BNN) theory is developed and employed to model the temperature variation record from the Western Himalayas.
R. K. Tiwari, S. Maiti
doaj +1 more source
A program for the Bayesian Neural Network in the ROOT framework
, 2011 We present a Bayesian Neural Network algorithm implemented in the TMVA package, within the ROOT framework. Comparing to the conventional utilization of Neural Network as discriminator, this new implementation has more advantages as a non-parametric ...
Brun +11 more
core +1 more source
Continuous simulation of hypothetical physics processes with multiple free parameters
, 2012 We propose a new approach to simulate hypothetical physics processes which are defined by multiple free parameters. Compared to the conventional grid-scan approach, the new method can produce accurate estimations of the detector acceptance and signal ...
Huang, Run-Sheng +2 more
core +1 more source
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency [PDF]
2019 International Conference on Field-Programmable Technology (ICFPT), 2019 Binarized neural networks (BNNs) have shown exciting potential for utilising neural networks in embedded implementations where area, energy and latency constraints are paramount. With BNNs, multiply-accumulate (MAC) operations can be simplified to XnorPopcount operations, leading to massive reductions in both memory and computation resources ...
Rasoulinezhad, Seyedramin +5 more
openaire +2 more sources
Melt Grafting of Geometry‐Tailored Voltage Stabilizers for High‐Performance Polypropylene Insulation
Advanced Functional Materials, EarlyView.A scalable one‐step melt grafting strategy is developed to enhance the dielectric properties of isotactic polypropylene by covalently incorporating thermally stable aromatic voltage stabilizers. This solvent‐free approach improves volume resistivity and DC breakdown strength through deep trap formation and charge localization, offering a sustainable ...
Nazirul Mubin bin Normansah +9 more
wiley +1 more source