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Soft Computing Applications in Air Quality Modeling: Past, Present, and Future

Muhammad Muhitur Rahman, Md Shafiullah, Syed Masiur Rahman, Abu Nasser Khondaker, Abduljamiu Amao, Md. Hasan Zahir
2020 Sustainability  
The discussion in this paper will help to determine the suitability and appropriateness of a particular model for a specific modeling context.  ...  It was observed that many advanced, reliable, and self-organized soft computing models like functional network, genetic programming, type-2 fuzzy logic, genetic fuzzy, genetic neuro-fuzzy, and case-based  ...  [148] proposed a clustering-based ensemble of evolving spiking neural networks to forecast air pollutants (O 3 and PM 10 ) concentrations up to six hours in the Greater London Area.  ... 
doi:10.3390/su12104045 fatcat:laoiyhzeejgy7k63lzhxmko4nu

Particulate Matter Sampling Techniques and Data Modelling Methods [chapter]

Jacqueline Whalley, Sara Zandi
2016 Air Quality - Measurement and Modeling  
Key features of some PM 10 prediction models developed in the last 10 years are described, and current work modelling and predicting PM 10 trends in New Zealand-a remote country of islands in the South  ...  In this chapter, a broad overview of recent empirical statistical and machine learning techniques for modelling PM 10 is presented.  ...  Author details Jacqueline Whalley * and Sara Zandi *Address all correspondence to: jacqueline.whalley@aut.ac.nz Auckland University of Technology, Auckland, New Zealand  ... 
doi:10.5772/65054 fatcat:7x32i6bpgfgfxp7fkgl7hj75ju

Welcome message from the General Chairs

Giovanni Giambene, Boon Sain Yeo
2009 2009 International Workshop on Satellite and Space Communications  
This year we received a total of 153 high-quality papers from more than 20 countries. Many papers demonstrated notable systems with good analytical and/or empirical analyses.  ...  Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%.  ...  His major research interests include evolutionary computation and neural network ensembles. Abstract Previous work on evolving neural networks has focused on single neural networks.  ... 
doi:10.1109/iwssc.2009.5286448 fatcat:wcu4uzasizhzjmdkzyekynnqwi

Real-time secondary aerosol formation during a fog event in London

M. Dall'Osto, R. M. Harrison, H. Coe, P. Williams
2009 Atmospheric Chemistry and Physics  
A fog event was monitored with state-of-the art real-time aerosol mass spectrometers in an urban background location in London (England) during the REPARTEE-I experiment.  ...  Formation of inorganic and organic secondary aerosol was observed as soon as fog was detected and two different mechanisms are suggested to be responsible for the production of two different types of aerosol  ...  The authors are grateful also to the BOC Foundation for financial support of campaign expenses and to British Telecom and the Royal Parks for facilitating access to measurement sites. Edited by: E.  ... 
doi:10.5194/acp-9-2459-2009 fatcat:vnyeaakslrgrngck3i2y3ubfba

Program

2021 2021 National Conference on Communications (NCC)  
In case load-pull is used, it is difficult to find this appropriate set of loads that can be realizable with a matching network.  ...  Nonetheless, not every problem can and should be solved using deep neural networks (DNNs).  ...  We propose a neural networks based decoder for decoding TCM.  ... 
doi:10.1109/ncc52529.2021.9530194 fatcat:ahdw5ezvtrh4nb47l2qeos3dwq

Deep Learning in Mobile and Wireless Networking: A Survey

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 IEEE Communications Surveys and Tutorials  
In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas.  ...  We first briefly introduce essential background and state-of-theart in deep learning techniques with potential applications to networking.  ...  The applicability of deep learning for trajectory prediction is studied in [485] .  ... 
doi:10.1109/comst.2019.2904897 fatcat:xmmrndjbsfdetpa5ef5e3v4xda

Deep Learning in Mobile and Wireless Networking: A Survey [article]

Chaoyun Zhang, Paul Patras, Hamed Haddadi
2019 arXiv   pre-print
In this paper we bridge the gap between deep learning and mobile and wireless networking research, by presenting a comprehensive survey of the crossovers between the two areas.  ...  We first briefly introduce essential background and state-of-the-art in deep learning techniques with potential applications to networking.  ...  The applicability of deep learning for trajectory prediction is studied in [482] .  ... 
arXiv:1803.04311v3 fatcat:awuvyviarvbr5kd5ilqndpfsde

Distinct high molecular weight organic compound (HMW-OC) types in aerosol particles collected at a coastal urban site

M. Dall'Osto, R.M. Healy, J.C. Wenger, C. O'Dowd, J. Ovadnevaite, D. Ceburnis, Roy M. Harrison, D.C.S. Beddows
2017 Atmospheric Environment  
Data Analyzer) and single particle mass spectra were clustered with Adaptive 28 Resonance Theory neural network, ART-2a (Song et al., 1999) .  ...  By contrast, 5 cluster OLI-SS shows a unique diurnal trend spiking at 3-4pm, concomitant with the 6 highest ozone concentrations and strongest solar radiation values.  ... 
doi:10.1016/j.atmosenv.2017.10.007 fatcat:4bxcym44xvfozb35iy2vvzyqji

Computational Socioeconomics [article]

Jian Gao, Yi-Cheng Zhang, Tao Zhou
2019 arXiv   pre-print
This review, together with pioneering works we have highlighted, will draw increasing interdisciplinary attentions and induce a methodological shift in future socioeconomic studies.  ...  Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic status are significant for economic development.  ...  [510] proposed a neural-network-based forecasting method for unemployment rate with features mined by several feature selection algorithms.  ... 
arXiv:1905.06166v1 fatcat:kvhy2hpzgvg2vnqhdjfyjfidqi

ACNP 58th Annual Meeting: Panels, Mini-Panels and Study Groups

2019 Neuropsychopharmacology  
The kinetics of dynorphin signal activation, duration and spread were characterized in striatum using a combination of photorelease, sensor imaging and electrophysiology.  ...  Recent progress has been made on probes to study interactions between the opioid neuropeptide dynorphin and the kappa opioid receptor, which are implicated in the negative aversive states associated with  ...  Methods: We developed a novel mouse model in which pregnant C57BL/6 mouse dams are exposed intermittently throughout pregnancy to diesel exhaust particles (DEP), a proxy for air pollution, vs control.  ... 
doi:10.1038/s41386-019-0544-z pmid:31801977 pmcid:PMC6957922 fatcat:hjyvf7fcpbf2fhxit6rlhsvg2y

The 18th European Symposium on Quantitative Structure–Activity Relationships

Anna Tsantili-Kakoulidou, Dimitris K Agrafiotis
2011 Expert Opinion on Drug Discovery  
Wigley for the contribution to this work with the x-ray structure of the protein ligand to the GR1222222.  ...  We have recently reported on the CDK1 inhibitory activity of the pyrrolo [2,3-a]carbazole scaffold. 4 Molecular modeling and docking simulation studies explored the CDK1 binding mode of this core and  ...  POSTER PRESENTATION IΙ-22 VALIDATION RESULTS FOR A NEURAL NETWORK ENSEMBLE PREDICTOR OF ALDOSE REDUCTASE INHIBITORY ACTIVITY In this work, we present and validate a novel method of applying NN techniques  ... 
doi:10.1517/17460441.2011.560604 pmid:22646021 fatcat:tb4bhvtnpzahxm4xba7iw4afuy

Localist representation can improve efficiency for detection and counting

Horace Barlow, Anthony Gardner-Medwin
2000 Behavioral and Brain Sciences  
It can be applied to a number of problems that are difficult for fully distributed models, and its applicability can be extended through comparisons with a number of classic mathematical models of behaviour  ...  A generalized localist model is proposed that exhibits many of the properties of fully distributed models.  ...  ACKNOWLEDGMENT This work was supported in part by NSF grants SBR-9720398 and ECS-9970890.  ... 
doi:10.1017/s0140525x00223352 fatcat:zeo65fd76vh4nblxjvlahq3vgm

Connectionist modelling in psychology: A localist manifesto

Mike Page
2000 Behavioral and Brain Sciences  
It can be applied to a number of problems that are difficult for fully distributed models, and its applicability can be extended through comparisons with a number of classic mathematical models of behaviour  ...  A generalized localist model is proposed that exhibits many of the properties of fully distributed models.  ...  ACKNOWLEDGMENT This work was supported in part by NSF grants SBR-9720398 and ECS-9970890.  ... 
doi:10.1017/s0140525x00003356 fatcat:6hnhqgbdtvcbtggl75dafiwlsi

Abstracts of papers presented at the 1993 Pittsburgh Conference

1993 Journal of Automatic Chemistry  
Workflow analysis is a more valuable technique during system planning and selection phases. For a successful project, it is important to both optimize the process and automate the activities.  ...  The systems work very well for conventional chromatograms where the degree of interference is manageable. Some surprising and unexpected failures also materialized.  ...  With the advent of personal computers and local area network technology PC-based systems have become the fastest growing segment of the LIMS market.PC-based systems are increasingly the platform of choice  ... 
doi:10.1155/s1463924693000148 pmid:18924965 pmcid:PMC2548011 fatcat:2ay6kyjpc5f6facrqyffrjxeam

ACNP 58th Annual Meeting: Poster Session III

2019 Neuropsychopharmacology  
In addition, based on the findings, we present the optimal strategies of treatment for AD.  ...  Consistent with our prediction, photoactivation of aPVTCRF fibers in the NAc reduced food-seeking and increased avoidance responses.  ...  Epidemiological studies suggest that exposure to air pollution during pregnancy is associated with increased likelihood of having a child with ASD (Volk et al., 2011; 2013) and maternal stress during  ... 
doi:10.1038/s41386-019-0547-9 pmid:31801974 pmcid:PMC6957926 fatcat:dd7d43ysfvc5bbbstfl73szya4
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