Results 31 to 40 of about 4,734,756 (288)
Playing Tag with ANN: Boosted Top Identification with Pattern Recognition [PDF]
, 2015 Many searches for physics beyond the Standard Model at the Large Hadron Collider (LHC) rely on top tagging algorithms, which discriminate between boosted hadronic top quarks and the much more common jets initiated by light quarks and gluons. We note that
Almeida, Leandro G. +4 more
core +2 more sources
Journal of Natural Fibers, 2022 The building sector is one of the most dynamic in terms of energy consumption, consuming about 40% of the world’s energy. This same sector is also responsible for about 1/3 of the world’s greenhouse gas emissions.
Aziz Saaidia +2 more
doaj +1 more source
Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns [PDF]
Journal of Rehabilitation in Civil Engineering, 2019 Fiber Reinforced Polymer (FRP) was extensively employed as external confinement to strengthen the RC structures. Substantial studies were carried out in order to assess a more exact formula for measuring the strength enhancement of such strengthens ...
Yasser Sharifi +2 more
doaj +1 more source
On the annihilators and attached primes of top local cohomology modules [PDF]
, 2014 Let \frak a be an ideal of a commutative Noetherian ring R and M a finitely generated R-module. It is shown that {\rm Ann}_R(H_{\frak a}^{{\dim M}({\frak a}, M)}(M))= {\rm Ann}_R(M/T_R({\frak a}, M)), where T_R({\frak a}, M) is the largest submodule of M
Atazadeh, Ali +2 more
core +2 more sources
PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent
Journal of Chemical and Petroleum Engineering, 2019 In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e.
Sohrab Fathi +3 more
doaj +1 more source
Applied Sciences, 2020 Ground vibration induced by blasting operations is an important undesirable effect in surface mines and has significant environmental impacts on surrounding areas.
Guichen Li +5 more
doaj +1 more source
Designing short term trading systems with artificial neural networks [PDF]
, 2009 There is a long established history of applying Artificial Neural Networks (ANNs) to financial data sets. In this paper, the authors demonstrate the use of this methodology to develop a financially viable, short-term trading system. When developing short-
A. Elder +3 more
core +1 more source
Soft computing techniques for analysing the mechanical properties of egg shell powder-based concrete
Advances in Civil and Architectural EngineeringThe construction industry is increasingly focused on sustainability to reduce environmental impact. Researchers are actively exploring alternative materials to replace clinker-based binders. This study specifically investigates the use of eggshell powder
Sanjay Sharma +3 more
doaj +1 more source
Intelligent optical performance monitor using multi-task learning based artificial neural network
, 2018 An intelligent optical performance monitor using multi-task learning based artificial neural network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format identification (MFI).
Shu, * Liang +5 more
core +1 more source
Artificial neural networks and physical modeling for determination of baseline consumption of CHP plants [PDF]
, 2014 An effective modeling technique is proposed for determining baseline energy consumption in the industry. A CHP plant is considered in the study that was subjected to a retrofit, which consisted of the implementation of some energy-saving measures. This
Biscarri Triviño, Félix +3 more
core +1 more source