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Artificial Intelligence Based Smart and Secured Applications Third International Conference, ASCIS 2024, Rajkot, India, October 16–18, 2024, Revised Selected Papers, Part I

Aus der Reihe Communications in Computer and Information Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.04.2025

Abbildungen

LIV, 424 p. 263 illus., 208 illus. in color.

Herausgeber

Sridaran Rajagopal + weitere

Verlag

Springer

Seitenzahl

424

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

721 g

Sprache

Englisch

ISBN

978-3-031-86289-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.04.2025

Abbildungen

LIV, 424 p. 263 illus., 208 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

424

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

721 g

Sprache

Englisch

ISBN

978-3-031-86289-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Artificial Intelligence Based Smart and Secured Applications
  • Produktbild: Artificial Intelligence Based Smart and Secured Applications

  • .- Artificial Intelligence & Machine Learning.


    .- Enhancing Music Recommendation Systems: A Hybrid CNN-LSTM Approach for Personalized and Precise Recommendations.


    .- Detecting Emotions of MEMEs Using a Hybrid approachof Deep Learning.


    .- Parkinson's Disease Detection Using Advanced Wave Signal Processing on Spiral Drawing Tests.


    .- Vehicle Density Estimation Using Improved Yolov8 Object Detection Model With Kernel Density Estimation.


    .- EmpowerSpeak:"ABreakthrough Model for Speech Synthesis fromVideos for theDifferently Abled".


    .- Feature Extraction and Machine Learning Based Predictive Models for Heart Diseases Prediction: Analyzing the Effectiveness of Multiple Models.


    .- Machine Learning Models and FOREX Analysis: A Comparison with Hybrid Models to Predict the Next Day Exchange Rate.


    .- COMMODITY IDENTIFICATION USING DEEP LEARNING IN SMART SHOPPPING SYSTEM.


    .- Prediction of Retinal Diseases using Image Processing Techniques and Convolutional Neural Networks.


    .- ORB-SIFT Hybrid Feature Extraction: A Unified Feature Extraction Approach.


    .- Bibliometric Analysis of Educational Data Mining.


    .- Predictive Modeling of Chronic Kidney Disease with Ensemble Algorithms.


    .- Advanced Lung Image Enhancement Using Dynamic Dual-Histogram Gamma Correction.


    .- Elite Opposition Learning based Transfer Residual Neural Network (EOL-TRNN) Classifier for Lung Diseases from Chest X-Ray (CXR).


    .- Enhancing Railway Network Efficiency with Deep Learning-Based Traffic Prediction Models.


    .- Data under Siege Advanced AI Techniques to Combat Cyber Attacks in Data Infrastructure.


    .- Scalable Intrusion Detection Using Recurrent Neural Networks in Distributed Data Engineering Systems.


    .- Dynamic Crop Recommendation Systems Using Reinforcement Learning and Real-Time Sensor Data.


    .- Butterfly Optimization Algorithm (BOA) based FeatureSelection and Semen Quality Predictive Model.


    .- Enhancing Medicinal Plant Identification with Deep Learning: A Data-Centric Approach.


    .- Understanding Unnatural Mortality: A Comprehensive Analysis of Machine Learning Approach for Classification of Causes.


    .- Thorough analysis of principal challenges in opinion mining and sentiment analysis, unraveling prevailing trends and techniques through a systematic review.


    .- Time Series-Based Analysis of Energy Consumption: Forecasting and Anomaly Detection using LSTM and Isolation Forest.


    .- Steganography in the Digital Age: An In-Depth Review of Techniques.


    .- Advancement and Applications in Biometric Techniques: A Comprehensive Study.


    .- Securing E-Commerce: A Comprehensive Analysis of Fraud Detection Methods.


    .- An IoT and Data Mining-Based Tool for Early Identification of Speech Disorders in Children Using Advanced Algorithms.


    .- Change detection using Machine Learning Algorithms in Google Earth Engine Environment Bharatpur District of the Rajasthan State.


    .- Human Pose Estimation using Machine Learning.


    .- Multi-dimensional Spatiotemporal Sparse-representation Convolutional Long Short-Term Memory for Prediction of Autism Spectrum Disorder.