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Advances in Machine Learning and Big Data Analytics II: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 2024 ed. [Kõva köide]

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  • Formaat: Hardback, 400 pages, kõrgus x laius: 235x155 mm, 184 Illustrations, color; 32 Illustrations, black and white; X, 400 p. 216 illus., 184 illus. in color., 1 Hardback
  • Sari: Springer Proceedings in Mathematics & Statistics 442
  • Ilmumisaeg: 21-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303151341X
  • ISBN-13: 9783031513411
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Advances in Machine Learning and Big Data Analytics II: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 2024 ed.Suurem pilt
  • Formaat: Hardback, 400 pages, kõrgus x laius: 235x155 mm, 184 Illustrations, color; 32 Illustrations, black and white; X, 400 p. 216 illus., 184 illus. in color., 1 Hardback
  • Sari: Springer Proceedings in Mathematics & Statistics 442
  • Ilmumisaeg: 21-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303151341X
  • ISBN-13: 9783031513411
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031513411.html
Märksõnad:

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, automation, and predictive capabilities. Meanwhile, Big Data Analytics processes and extracts insights from vast and complex datasets, unveiling hidden patterns and trends. Together, these fields enable us to harness the immense power of data for smarter business strategies, improved healthcare, enhanced user experiences, and countless other applications. This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, which was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India)  introduces an exciting journey into the intersection of machine learning and Big Data Analytics, where data becomes a catalyst for progress and transformation.


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 Parkinsons
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
Drivers 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.