Search Results - "Zarandi, M."

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  1. 1

    Why did US urban homicide spike in 2020? A cross‐sectional data analysis for the largest American cities by Fazel‐Zarandi, Mohammad M., Barnett, Arnold

    Published in Risk analysis (01-07-2024)
    “…Working with data about homicide victims and perpetrators from 50 of America's largest cities, we investigate the explanatory power of some familiar…”
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    Journal Article
  2. 2

    Generalized Possibilistic Fuzzy C-Means with novel cluster validity indices for clustering noisy data by Askari, S., Montazerin, N., Fazel Zarandi, M.H.

    Published in Applied soft computing (01-04-2017)
    “…[Display omitted] •A fuzzy clustering algorithm is presented for noisy data.•It works with covariance norm in contrast to PFCM.•Its error is about 80% less…”
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    Journal Article
  3. 3

    Spontaneous imbibition of liquid in glass fiber wicks, Part II: Validation of a diffuse‐front model by F. Zarandi, M. Amin, Pillai, Krishna M.

    Published in AIChE journal (01-01-2018)
    “…In Part I (Zarandi MAF, Pillai KM. Spontaneous Imbibition of Liquids in Glass‐Fiber Wicks. Part I: Usefulness of a Sharp‐Front Approach. AIChE J, 64: 294–305,…”
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  4. 4

    Flow along and across glass‐fiber wicks: Testing of permeability models through experiments and simulations by Zarandi, M. Amin F., Pillai, Krishna M, Barari, Bamdad

    Published in AIChE journal (01-09-2018)
    “…A rigorous test of important theoretical models for permeability of glass‐fiber wicks, backed by numerical simulations, is conducted using a novel small‐scale…”
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  5. 5

    Two-machine robotic cell scheduling problem with sequence-dependent setup times by Fazel Zarandi, M.H., Mosadegh, H., Fattahi, M.

    Published in Computers & operations research (01-05-2013)
    “…In this paper, we introduce a new and practical two-machine robotic cell scheduling problem with sequence-dependent setup times (2RCSDST) along with different…”
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  6. 6

    Mitigating bullwhip effect in an agent-based supply chain through a fuzzy reverse ultimatum game negotiation module by Shabany Moghadam, F., Fazel Zarandi, M.H.

    Published in Applied soft computing (01-02-2022)
    “…Supply Chain Management is frequently regarded as a distributed system whose productivity is mainly influenced by healthy interaction and cooperation among…”
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  7. 7

    Investigating liquid fronts during spontaneous imbibition of liquids in industrial wicks. Part I: Experimental studies by F. Zarandi, M. Amin, Pillai, Krishna M.

    Published in AIChE journal (01-10-2021)
    “…A large set of industrial wicks made from sintered polymer beads and fibrous materials were studied. Three types of liquid fronts were observed: sharp,…”
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  8. 8

    Designing a general type-2 fuzzy expert system for diagnosis of depression by Fazel Zarandi, M.H., Soltanzadeh, S., Mohammadi, A., Castillo, O.

    Published in Applied soft computing (01-07-2019)
    “…Depression is a common and important mental disorder that affects the quality of human life. Since people with depression are not aware of their disorder and…”
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  9. 9

    A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables by Askari, S., Montazerin, N., Zarandi, M.H. Fazel

    Published in Applied soft computing (01-10-2015)
    “…•A clustering based algorithm with linear combinations of the variables is presented.•Uncertainty and ambiguity of the data is handled by the fuzzy…”
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    Journal Article
  10. 10

    Bi-objective mixed-integer nonlinear programming for multi-commodity tri-echelon supply chain networks by Alavidoost, M. H., Tarimoradi, Mosahar, Zarandi, M. H. Fazel

    Published in Journal of intelligent manufacturing (01-04-2018)
    “…The competitive market and declined economy have increased the relevant importance of making supply chain network efficient. Up to now, this has resulted in…”
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    Journal Article
  11. 11

    Relative entropy fuzzy c-means clustering by Zarinbal, M., Fazel Zarandi, M.H., Turksen, I.B.

    Published in Information sciences (01-03-2014)
    “…Pattern recognition is a collection of computer techniques to classify various observations into different clusters of similar attributes in either supervised…”
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    Journal Article
  12. 12

    Modeling energy flow in natural gas networks using time series disaggregation and fuzzy systems tuned by particle swarm optimization by Askari, S., Montazerin, N., Fazel Zarandi, M.H.

    Published in Applied soft computing (01-07-2020)
    “…Natural gas is widely used in industrial, residential, and commercial sectors and is delivered to consumption nodes via gas distribution networks. For…”
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  13. 13

    Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times by Alavidoost, M. H., Zarandi, M. H. Fazel, Tarimoradi, Mosahar, Nemati, Yaser

    Published in Journal of intelligent manufacturing (01-02-2017)
    “…This paper aims at the straight and U-shaped assembly line balancing. Due to the uncertainty, variability and imprecision in actual production systems, the…”
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    Journal Article
  14. 14

    The number of undocumented immigrants in the United States: Estimates based on demographic modeling with data from 1990 to 2016 by Fazel-Zarandi, Mohammad M, Feinstein, Jonathan S, Kaplan, Edward H

    Published in PloS one (21-09-2018)
    “…We apply standard demographic principles of inflows and outflows to estimate the number of undocumented immigrants in the United States, using the best…”
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  15. 15

    Investigating liquid‐fronts during spontaneous imbibition of liquids in industrial wicks. Part II: Validation by DNS by F. Zarandi, M. Amin, Pillai, Krishna M., Hasan, Abul Borkot Md Rafiqul

    Published in AIChE journal (01-11-2022)
    “…To validate the experimental results of Part‐1, we conducted a two‐phase flow simulation of imbibition of a wetting liquid through 2D microstructures made of…”
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  16. 16

    An enhanced NSGA-II algorithm for fuzzy bi-objective assembly line balancing problems by Babazadeh, Hossein, Alavidoost, M.H., Fazel Zarandi, M.H., Sayyari, S.T.

    Published in Computers & industrial engineering (01-09-2018)
    “…•We developed a new fuzzy mixed-integer linear programming model for SALBP and SULBP.•We proposed an enhanced NSGA-II algorithm to solve such problems.•The…”
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  17. 17

    A hybrid modeling approach for forecasting the volatility of S&P 500 index return by Hajizadeh, E., Seifi, A., Fazel Zarandi, M.H., Turksen, I.B.

    Published in Expert systems with applications (2012)
    “…► GARCH models have been complemented with Neural Networks to better model and forecast volatility in highly fluctuating market. ► The volatility estimates,…”
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  18. 18

    Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof by Askari, S., Montazerin, N., Zarandi, M.H. Fazel, Hakimi, E.

    Published in Neurocomputing (Amsterdam) (05-01-2017)
    “…A Generalized Entropy based Possibilistic Fuzzy C-Means algorithm (GEPFCM) is proposed in this paper for clustering noisy data. The main objective of GEPFCM is…”
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  19. 19

    Fuzzy adaptive genetic algorithm for multi-objective assembly line balancing problems by Alavidoost, M.H., Tarimoradi, Mosahar, Zarandi, M.H. Fazel

    Published in Applied soft computing (01-09-2015)
    “…This paper aims at multi-objective straight and U-shaped assembly line balancing problems with the fuzzy task processing times. The problems are referred to…”
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  20. 20

    Spontaneous imbibition of liquids in glass‐fiber wicks. Part I: Usefulness of a sharp‐front approach by Zarandi, M. Amin F., Pillai, Krishna M., Kimmel, Adam S.

    Published in AIChE journal (01-01-2018)
    “…Spontaneous imbibition of a liquid into glass‐fiber wicks is modeled using the single‐phase Darcy's law after assuming a sharp flow‐front marked by full…”
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    Journal Article