Proceedings of 7th International Con...
International Conference on Harmony Search, Soft Computing and Applications (2022 :)

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  • Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications = ICHSA 2022 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications/ edited by Joong Hoon Kim ... [et al.].
    Reminder of title: ICHSA 2022 /
    remainder title: ICHSA 2022
    other author: Kim, Joong Hoon.
    corporate name: International Conference on Harmony Search, Soft Computing and Applications
    Published: Singapore :Springer Nature Singapore : : 2022.,
    Description: xv, 522 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: COVID-19 Chest X-rays Classification through The Fusion of Deep Transfer Learning and Machine Learning Methods -- Quantitative and Qualitative Analysis of Harmony Search Algorithm in Geomechanics and its Applications -- The Robustness of Tuned Liquid Dampers Optimized via Metaheuristic Methods -- Hybrid Generalized Normal Distribution Optimization with Sine Cosine Algorithm for Global Optimization -- Sensivity analysis on Structural Optimization using Jaya Algorithm -- Upgrading urban drainage systems for extreme rainfall events using multi-objective optimization: Case study of Tan Hoa-Lo Gom drainage catchment, HCMC, Vietnam -- Comparative Study on Optimization of Cantilever Retaining Walls via Several Metaheuristics -- Optimal Solving of Uninhabited Combat Air Vehicle Path Planning Using Neural Network Algorithm -- Cost Optimization and Comparison of Rectangular Cross-Section Reinforced Concrete Beams Using TS500, Eurocode 2 and ACI 318 code -- Training Neural Networks with Lévy Flight Distribution Algorithm -- Pressure Management in Water Distribution Networks Using Optimal Locating and Operating of Pressure Reducing Valves -- The Optimal Location and Dimensions of Flood Control Detention Dams at Kan River Basin, Tehran, Iran -- Minimization the CO2 Emission for Optimum Design of T-Shape Reinforced Concrete (RC) Beam -- Prediction of Minimum CO2 Emission for Rectangular Shape Reinforced Concrete (RC) Beam -- A generative adversarial approach for detecting malware in Android applications using Deep learning.
    Contained By: Springer Nature eBook
    Subject: Computer algorithms - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-19-2948-9
    ISBN: 9789811929489
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