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Search for new physics in events with same-sign dileptons and b-tagged jets in pp collisions at root s=7 TeV
(Springer Science+Business Media, 2012-08)
A search for new physics is performed using isolated same-sign dileptons with at least two b-quark jets in the final state. Results are based on a 4.98 fb(-1) sample of proton-proton collisions at a centre-of-mass energy ...
NS/NNS models in teaching speaking
(John Wiley and Sons, 2019-01-15)
Having distinctive individual qualities based on their background, pedagogy, and linguistic abilities, both native English‐speaking teachers (NESTs) and non‐native English‐speaking teachers (NNESTs) play crucial roles in ...
A web-based decision support system for quality prediction in manufacturing using ensemble of regressor chains
(Springer, 2020)
In this study we construct a decision support system (DSS), which utilizes the production process parameters to predict the quality characteristics of final products in two different manufacturing plants. Using the idea ...
Optimizing steering of roaming traffic with a-number billing under a rolling horizon policy
(Springer, 2020)
In this study, we focus on single service steering international roaming traffic (SIRT) problem by considering telecommunication operators’ agreements and “a-number billing” while keeping service quality above a certain ...
A CART-based genetic algorithm for constructing higher accuracy decision trees
(SciTePress, 2020)
Decision trees are among the most popular classification methods due to ease of implementation and simple interpretation. In traditional methods like CART (classification and regression tree), ID4, C4.5; trees are constructed ...
Object tracking and identification by quantum radar
(SPIE, 2019)
Quantum Radar is a promising technology that could have a strong impact on the civilian and military realms. In this study we introduce a new concept design for implementing a Quantum Radar, based on the time and polarization ...
Forecasting multivariate time-series data using LSTM and mini-batches
(Springer, 2020)
Multivariate time-series data forecasting is a challenging task due to nonlinear interdependencies in complex industrial systems. It is crucial to model these dependencies automatically using the ability of neural networks ...
Effects of roller burnishing on the surface integrity and mechanical properties of duplex and 316L stainless steels
(2021-01-15)
Roller burnishing (RB) or deep rolling is a mechanical surface treatment method to enhance the surface integrity of manufactured components which affects component’s performance. Although there are some valuable researches ...
Single machine scheduling with sequence dependent setup times
(2021-06-10)
In this thesis, we study a single machine scheduling problem with sequence dependent setup times where the jobs are processed in shifts with constant length. There is a certain amount of time between each pair of consecutive ...
Applications of time-series methods in electricity price forecasting
(2021-01-18)
The prediction of day-ahead electricity prices with higher accuracy is always helpful for the market players of the power exchange. Models were designed in the first place to find out the best time-series estimation method ...
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