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  • Advances in data-driven computing and intelligent systems = selected papers from ADCIS 2023.. Volume 3 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Advances in data-driven computing and intelligent systems/ edited by Swagatam Das ... [et al.].
    Reminder of title: selected papers from ADCIS 2023.
    remainder title: ADCIS 2023
    other author: Das, Swagatam.
    corporate name: International Conference on Advances in Data-driven Computing and Intelligent Systems
    Published: Singapore :Springer Nature Singapore : : 2024.,
    Description: xix, 567 p. :ill., digital ;24 cm.
    [NT 15003449]: A comprehensive review: Sentiment Analysis for Indian local Languages -- Face Recognition-Based Surveillance System -- Comparative Analysis of Malware Classification using Supervised Machine Learning Algorithms -- Noise filtering algorithm based on Machine learning for identification of ground hitting photons in Jaipur city -- Data-driven interior plan generation for residential buildings in Vietnam -- A weekly scheduling of operating theaters using Multi Agent Planner -- Using website content for detecting phishing URLs: A Novel approach -- Attention and Residual-Atrous Convolutional Learning-Based CNN Architecture for Lung Nodule Segmentation and Classification -- Adaptive Segmentation on Extracting Textural and Fractal Patterns for Assessing Mangrove Dynamics using Multi-spectral Data -- Exploring Multivariate Chemometric Tool for Simultaneous Determination of Erectile Dysfunction Drugs in Pharmaceutical Formulation -- Mass transport of combined oscillating electroosmotic and pressure drivenflow through cylindrical nanopore considering ion partitioning effects -- Audio Signal Analysis and Classification of Bluetooth Vulnerabilities using Machine Learning Techniques -- Performance Evaluation of Thresholding-based Segmentation Algorithms for Aerial Imagery -- Estimation of particle Froude Number in Deposited Bed Condition using Hybrid Machine Learning Models -- An Image based Automated Potato Leaf Disease Detection Model -- Unsupervised Synthetic Code-Mixed Data Generation -- Automated Building Segmentation in Areal images using Boundary Edge Detection.
    Contained By: Springer Nature eBook
    Subject: Expert systems (Computer science) - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-99-9518-9
    ISBN: 9789819995189
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