Advances in Data-Driven Computing and Intelligent Systems Selected Papers from ADCIS 2023, Volume 3 /

This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21–23, 2023. It includes state-of-the-art research...

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Détails bibliographiques
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Das, Swagatam (Éditeur intellectuel), Saha, Snehanshu (Éditeur intellectuel), Coello Coello, Carlos A. (Éditeur intellectuel), Bansal, Jagdish C. (Éditeur intellectuel)
Format: Électronique eBook
Langue:anglais
Publié: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Édition:1st ed. 2024.
Collection:Lecture Notes in Networks and Systems, 893
Sujets:
Accès en ligne:https://doi.org/10.1007/978-981-99-9518-9
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Table des matières:
  • 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.