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Herausgeber: 
  • Pawan Lingras
  • Xiao-Zhi Gao
  • Uttam Ghosh
  • Ashish Kumar Luhach
  • Dharm Singh Jat
  • Advanced Informatics for Computing Research: 6th International Conference, ICAICR 2023, Rohtak, Haryana, India, December 16–17, 2023, Revised Selected 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2025  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / communication systems / Computer Application in Social and Behavioral Sciences / Computer Engineering and Networks / computer hardware / computer networks / Computer Vision / Computerhardware
    ISBN:  9783031840586 
    EAN-Code: 
    9783031840586 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  389 
    Illustration:  XVI, 389 p. 160 illus., 123 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Machine Learning.- Enhancing Breast Cancer Diagnosis and Prognosis Through Machine Learning and Deep Learning: A Comparative Analysis of Predictive Models.- Survival prediction of Primary Biliary Cholangitis disease: A Comparative Classification Analysis using Machine Learning Methods..- Enhancing Predictive Accuracy in Used Car Pricing Models: A Comparative Analysis of Regression Techniques.- A Review on Machine Learning Based Approaches for Automated Detection of COVID-19 disease.- A Novel Sentiment Analysis of Teacher Trainees' Views on Curriculum of Teacher Education Programmes in Maharashtra State of India.- Enhancing Diabetes Risk Assessment with Ensemble Learning Methods.- Fusing CNN and LSTM Models for Enhanced Fake News Detection using Deep Learning.- Driver Distraction Prediction: A Kernel Functions Analysis for Deep Kernelized Autoencoder.- Innovative VLSI-Based Approaches for Abnormal Heartbeat Detection.- Advanced Techniques for Agricultural Crop Yield Prediction using Machine Learning and Computer Vision.- An impact of Feature Selection in Association rule mining for Market Basket analysis.- Evaluating the Role of Deep Learning and Machine Learning in Understanding the Influence of Lifestyle and Environmental Factors on Obesity Prevalence and Formulating Tailored Intervention Approaches.- Emotion Detection by Face Tracking using ML Techniques.- Classification using Hybrid Classical-Quantum Machine Learning.- Deep Neural Network and Convolutional Neural Network Implementation in 5G enabled IoT for Enhanced Latency.- Exploring an Ensemble Classifier Approach for Predicting Crop Yields in India Using Climate Variability Data.- Interpreting Transfer Learning-based Convolutional Neural Networks for COVID-19 Detection in CT Scan Images.- Cloud-Powered Attendance Solutions: Streamlining Hourly Tracking with Facial Recognition on AWS.- Implementing an NFT by Developing a Smart Contract in OpenSea Marketplace.- Deep Fake Video Detection Using Transfer Learning Techniques.- Detecting Potholes using Machine Learning and Transfer Learning Models: Transforming Road Safety.- Hybrid-Sarcasm: An Approach for Sarcasm Detection and Classification using Hybrid MachineLearning Methods.- Text Mining Data Summarization Approach for COVID-19 using Hybrid Machine Learning Techniques.- Security and Privacy.- A Survey on Vehicular Ad Hoc Networks and Routing Protocols.- Investigating the Impact of Operating Systems and File Systems on Redis: A Comparative Study of Windows, Ubuntu, Ext4, and XFS.- FenceGuard Attendance: Secure and Efficient.- Investigating a Comprehensive IoT Security Solution Based on Blockchain.- A Comparative Analysis of Detection and Mitigation of False Data Injection Attacks in the Internet of Things.- Enhanced Malware Detection: Leveraging Volatility Analysis and Machine LearningSynergy.

      



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