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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 …
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 …
[HTML][HTML] 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 …
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 …
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 …
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 …
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms
S Barak, M Nasiri, M Rostamzadeh - ar**_Detection_and_Forecasting_Security_Controls_using_Unrestricted_Cooperative_Bargains_COMCOM_2019_FINAL20200323-92724-1xchn1j.pdf" data-clk="hl=hu&sa=T&oi=gga&ct=gga&cd=8&d=17864665415560525116&ei=_da_Z6jJBMXKieoPm5mskA0" data-clk-atid="PPWwXYsK7PcJ" target="_blank">[PDF] academia.edu
Grou** detection and forecasting security controls using unrestricted cooperative bargains
Security controls are widely used to minimize the effects generated by unwanted events,
such as malicious network traffic. However, incompatibilities between these controls make …
such as malicious network traffic. However, incompatibilities between these controls make …
PM10 prediction using CART method depending on the number of observations
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 …