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Produktbild: Artificial Intelligence Based Smart and Secured Applications
Band 2821

Artificial Intelligence Based Smart and Secured Applications 4th International Conference, ASCIS 2025, Gujarat, India, September 11–13, 2025, Revised Selected Papers, Part III

Aus der Reihe Communications in Computer and Information Science

87,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.02.2026

Abbildungen

XXXV, 492 p. 203 illus., 156 illus. in color.

Herausgeber

Sridaran Rajagopal + weitere

Verlag

Springer

Seitenzahl

492

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

791 g

Sprache

Englisch

ISBN

978-3-032-17839-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

13.02.2026

Abbildungen

XXXV, 492 p. 203 illus., 156 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

492

Maße (L/B/H)

23,5/15,5/2,9 cm

Gewicht

791 g

Sprache

Englisch

ISBN

978-3-032-17839-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

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  • Produktbild: Artificial Intelligence Based Smart and Secured Applications

  • Artificial Intelligence & Machine Learning.-
    Voice Veritas: Fake Voice Detection Using Deep Learning.- An In-Depth Analysis of Emerging Technologies in Contemporary Healthcare- A Review.- Hybrid Knowledge Base Architecture for Real-Time Conversational AI.- Multimodal Transformer-Based Classification of Breast Cancer Laterality.- Deep Dive into Machine Learning for Early Breast Cancer Classification.- A Hybrid AI Framework for Personalized Foundational Learning Using Decision Trees and Fuzzy Logic.- Real-Time Knowledge Access Using Large Language Models and Web Technologies.- Enhancing Bird Flu Outbreak Predictions Using Data Mining Techniques.- Meta-Heuristic Ensemble Feature Selection (MEFS) and Stacking Deep Ensemble Classifier (SDEC) Model for Weather Prediction and Renewable Energy Demand Forecasting.- HySCAF: An Explainable and Efficient Feature Selection Strategy for Gestational Diabetes Prediction.- Improving Question Generation with Retrieval-Augmented Generation and Semantic Search Using Cosine Similarity Validation.- Diabetes Risk Prediction In Pregnant Women Using Deep Belief Network.- Brain Tumor Detection from MRI: Comparative Study of NIfTI, JPEG and PNG File Formats.- Assessing the Financial Sustainability of AI-Powered Infrastructure and Cybersecurity Protocols in India’s Smart Cities.- A Two-Stage Hybrid Preprocessing Framework for Improving Machine Learning-Based Gestational Diabetes Prediction.- Geo-Intelligent Automation of Farmer Queries: A Hybrid Machine Learning Approach to Enhance Kisan Call Centre Efficiency.- Decentralized Pan Card Forgery and Tampering Detection Using FLWR, CNN, OCR and GRAD-CAM.- Deep Learning Approach for Gestational Diabetes Mellitus Classification Using LSTM Neural Network Model.- Data-Driven Predictive Maintenance: Evaluating ML and DL Models with Enhanced OEE Metrics.- Early Prediction of Novice Students Performance in an Introductory Programming Course Using Hyperparameter Tuned Model.- DeepSegNet: A Deep Learning-Based Framework for Semantic Segmentation of Satellite Imagery.- Leveraging Market Basket Analysis and Clustering for Personalized Retail Recommendations: A Case Study of a Local Supermarket.- A Systematic Review of Sentiment Analysis for Applications Utilizing.- Nonlinear Structure Detection in Cloud Workload Series: A Comparative Study of Testing Methods.- Enhancing BB84 Quantum Key Distribution: Analyzing the Impact of Noisy Channels and Future Advancements.- AI-Based Early Learning Assistant Using Speech Recognition and Concept Mapping.- Optimizing Query Performance in Relational Databases: A Comparative Study of Index Merge Strategies and Caching Techniques.- Multi-Class Land Cover Classification in Satellite Images Using U-Net and Attention Mechanisms.- Augmenting Performance Precision of Brain Signals through Corporeal Modes to Identify Bradykinesia through Multilevel SVM and Entropy Computation.- Magnetic Resonance images detection of Alzheimer's Disease.- Android Malware Detection (AMD) Using Stacked Deep Learning Ensemble Classifier Fusion (SDLECF) With Nature-Inspired Based Ensemble Feature Selection (NIEFS).