Advances in Machine Learning and Big Data Analytics II

ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30
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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.

Produktdetails
  • Erscheinungsdatum: 26.09.2025
  • Autor/Autorin: Ashokkumar Patel
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 68.3 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 375 Seiten
  • ISBN: 9783031513428
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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