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Produktbild: Artificial Intelligence in Detecting Autism

Artificial Intelligence in Detecting Autism

221,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

02.06.2026

Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Raster,schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss

Herausgeber

Ram Kumar Chenthur Pandian + weitere

Verlag

Taylor & Francis

Seitenzahl

294

Maße (L/B/H)

25,4/17,8/1,8 cm

Gewicht

739 g

Sprache

Englisch

ISBN

978-1-03-286653-6

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

02.06.2026

Abbildungen

schwarz-weiss Illustrationen, farbige Illustrationen, Raster,schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss

Herausgeber

Verlag

Taylor & Francis

Seitenzahl

294

Maße (L/B/H)

25,4/17,8/1,8 cm

Gewicht

739 g

Sprache

Englisch

ISBN

978-1-03-286653-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Artificial Intelligence in Detecting Autism

  • Preface. Section 1: AI based early detection and diagnosis models. 1. AI Based Early Detection and Diagnosis Model. 2. Advancements in Early Diagnosis and Screening of Autism Spectrum Disorder. 3. Analyzing the Optimized Features Requirement and Data Mining Techniques in Heart Disease Prediction. Section 2: ML models for behaviour analysis. 4. Advanced Patient Monitoring and Alert System with Instant Care Recommendation System using ML. Section 3: AI models for facial recognition. 5. Implementation of Machine learning Algorithm for Weed Detection. 6. AI Models for Facial Recognition in Autism Detection: A Comprehensive Review and Analysis. Section 4: Autism diagnosis through speech analysis. 7. Ethical Consideration in Autism Detection using AI. 8. Machine Learning Approaches for Detecting Autism through Chromosomal Aberration. 9. Analysis of Artificial Intelligence Techniques for Autism Detection. 10. Artificial Intelligence and Machine Learning in Detecting Autism: Transforming Diagnosis and Care. Section 5: Genetic and biomarker data analysis and diagnosis. 11. Harnessing Explainable AI and Multi-Omics Biomarkers for Precision Autism Diagnosis: From Data Acquisition to Clinical Decision Support. 12. Genetic and Biomarker Data Analysis and Diagnosis. 13. Single-Nucleus RNA Sequencing Data for Cell-Type-Specific Gene Prioritization and Predictive Modeling of Autism Spectrum Disorder. Section 6: Clinical data analysis model. 14. Machine Learning-Based Predictive Models for Medical Data Analysis: A Case of Early Diabetic Prediction. 15. Optimizing Heart Disease prediction through Machine Learning and Synthetic Data Augmentation using GANs. Section 7: AI tools for early prediction. 16. Uses of Generative AI for SAP HANA Data Management. 17. Artificial Intelligence and Robotics in Healthcare: A Comprehensive Overview. Section 8: AI based screening tools for parental support & other applications. 18. Blind Guide System with Voice Assistance. 19. Personalized Curriculum Adaptation: Using Emotion Responses to Tailor Education for Autistic Students. 20. Liver Disease Classification in Diverse Patient Population using Ensemble Technique.