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Advances in Machine Learning and Big Data Analytics II ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 /

In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artificial intelligence, equips systems to learn and adapt from data, revolutionizing decision-making,...

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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Outros autores: Patel, Ashokkumar (Editor), Kesswani, Nishtha (Editor), Sambana, Bosubabu (Editor)
Formato: Electrónico eBook
Idioma:inglés
Publicado: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Series:Springer Proceedings in Mathematics & Statistics, 442
Subjects:
Computer science > Mathematics.
Machine learning.
Mathematical statistics.
Mathematical Applications in Computer Science.
Machine Learning.
Mathematical Statistics.
Acceso en liña:https://doi.org/10.1007/978-3-031-51342-8
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Table of Contents:
  • Preface
  • Optimized Neural Networks Archetype for Prediction of Socio-Economic Class of Women in India
  • Improvement Of UPFC Performance In Power Systems Using Artificial Intelligence
  • Classification of Parkinson’s Disease Using Machine Learning Techniques
  • A Survey on Skin Cancer Detection Using Artificial Intelligence
  • A Review of Ranking Approach to Rank Interval-valued Trapezoidal Intuitionistic Fuzzy Sets
  • An Empirical Evaluation of ResNet-SE-16 for Accurate Classification of Lung Cancer using Histopathological Images
  • Design of EV Battery System Using Grid-Interfaced Solar PV Power with Novel Adaptive Digital Control Algorithm
  • A Decentralized and Intelligent Approach for Suspicious Event Detection in Surveillance Range
  • Image Selection for Graphical Password Authentification
  • Soft Computing for Visual Recognition through audio for Visually Impaired
  • Diet Meal Plan Chatbot
  • MRI Images Based Brain Tumor Classification Using Convolution Neural Networks
  • Segmenting MRI Images Using Federated Learning for Brain Tumor Detection
  • Comparative Analysis of Fuzzy Regular Graph Properties
  • Effective Cloud Data Management by Using AES Encryption and Decryption
  • Prediction of Angina Pectoris
  • A Novel Web Attack Recognition System for IOT via Ensemble Classification
  • Automatic Identification of Medical Plant Species Using VGG-19 Model
  • Identification of Fake Job Recruitment Using Several Machine Learning (ML) Models
  • SDS:Secure Image Transmission Using Advanced Encryption Standard With Salting, Steganography and Data Shredding Techniques
  • Multi Crop – Multi Disease Detection
  • Avian Soundscape Analysis Using Machine Learning
  • Smart Security and Surveillance System
  • Cyber Money Laundering Detection Using Machine Learning Methods
  • Accessible chatbot Interface for Price Negotiation System
  • Recognizing and Logging Vehicles by Scanning License Plates and Driver’s Face
  • Machine learning based classification of X-ray images using convolutional neural networks
  • A Comparative Study of Inception Models for Bone X-rays Classification and Pathology Detection
  • Dietary Assessment Report Generation using RCNN
  • A Blockchain based Networking Approach for Advanced HealthCare Services
  • Fine-grained Sentiment Analysis on Covid-19 Tweets using Deep Learning Techniques
  • Index.

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