Optimal sizing of CMOS analog circuits using gravitational search algorithm with particle swarm optimization
In this paper, a hybrid population based meta-heuristic search algorithm named as
gravitational search algorithm (GSA) combined with particle swarm optimization (PSO)(GSA …
gravitational search algorithm (GSA) combined with particle swarm optimization (PSO)(GSA …
Assessing the impact of public rental housing on the housing prices in proximity: Based on the regional and local level of price prediction models using long short-term …
H Kim, Y Kwon, Y Choi - Sustainability, 2020 - mdpi.com
Providing adequate public rental housing (PRH) of a decent quality at a desirable location is
a major challenge in many cities. Often, a prominent opponent of PRH development is its …
a major challenge in many cities. Often, a prominent opponent of PRH development is its …
ATM cash prediction using time series approach
One of the main challenges in today's banking industry is to forecast the cash demand of
their ATM network. Each ATM must be filled with the right amount so that neither a …
their ATM network. Each ATM must be filled with the right amount so that neither a …
Machine learning based system identification tool for data-based energy and resource modeling and simulation
T Weber, J Sossenheimer, S Schäfer, M Ott, J Walther… - Procedia CIRP, 2019 - Elsevier
Generated machine data is often not fully utilized in modern power production, although it
could provide new approaches to significantly increase productivity, flexibility and resource …
could provide new approaches to significantly increase productivity, flexibility and resource …
Multi-step-ahead time series prediction method with stacking LSTM neural network
XF Wang, Y Zhang - … on Artificial Intelligence and Big Data …, 2020 - ieeexplore.ieee.org
The issue of multi-step-ahead time series prediction is a daunting challenge of predictive
modeling. In this work, we propose a multi-output iterative prediction model with stacking …
modeling. In this work, we propose a multi-output iterative prediction model with stacking …
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms
One of the challenging questions in time series forecasting is how to find the best algorithm.
In recent years, a recommender system scheme has been developed for time series …
In recent years, a recommender system scheme has been developed for time series …
Clustered support vector machine for atm cash repository prediction
Optimal prediction of cash in ATMs is a critical task. This research paper is concerned with
the application of cash requirement forecasting of NN5 dataset by most promising machine …
the application of cash requirement forecasting of NN5 dataset by most promising machine …
PM10 prediction using CART method depending on the number of observations
M Stoimenova-Minova, S Gocheva-Ilieva… - Proceedings of the 2020 …, 2020 - dl.acm.org
The main air pollutant all around the world is particulate matter PM10. This is particulate
matter smaller than 10 microns. In the human body, harmful particles lead to serious health …
matter smaller than 10 microns. In the human body, harmful particles lead to serious health …
Towards optimal ATM cash replenishment using time series analysis
Abstract Automatic Teller Machine (ATM) are still largely used to dispense cash to the
customers. ATM cash replenishment is a process of refilling ATM machine with a specific …
customers. ATM cash replenishment is a process of refilling ATM machine with a specific …
Noise elimination based on moving average by Guassian distribution weighting method
F Zhang, J Fu - 2016 2nd International Conference on Control …, 2016 - ieeexplore.ieee.org
A new noise elimination method-moving average by Gaussian distribution weighting method-
was proposed in this literature. Chirp signal with Gaussian noise, chirp signal with Gaussian …
was proposed in this literature. Chirp signal with Gaussian noise, chirp signal with Gaussian …