Description

Book Synopsis

Part1.AI-supported multimedia systems.- 1.Automated Actor Recognition in Video Content.- 2.Acquiring Knowledge for Mimicking Dysarthric Speech by Incorporating its Features into Synthetic Speech.- 3.Monolingual and Cross-Lingual Text Classification.- 4.Towards Text Simplification for Lithuanian.- 5.Selection of preprocessing parameters for Wave-U-Net-based speech-denoising.- 6.Application of AI-based methods in the study of textual historical sources and urban heritage landscapes.- Part2.AI-supported multimedia systems.- 7.A Review of Quantum Machine Learning Applications.- 8.Class imbalance and data splitting approaches for face image pain classification: survey and experimental comparisons.- 9.Commit Classification for Software Change Intention Categorization Through Multimodal Machine Learning.- 10.AI for Earth Observation.- 11.Generative approach to supervised classification of spatio-temporal data via continuous observation Hidden Markov Model.- 12."Deformed solitary solutions to nonlinear differential equations based on the AI-assisted generalized operator of differentiation".

Data Science in Applications

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    A Hardback by Gintautas Dzemyda

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      View other formats and editions of Data Science in Applications by Gintautas Dzemyda

      Publisher: Springer
      Publication Date: 18/06/2025
      ISBN13: 9783031884856, 978-3031884856
      ISBN10:
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

      Part1.AI-supported multimedia systems.- 1.Automated Actor Recognition in Video Content.- 2.Acquiring Knowledge for Mimicking Dysarthric Speech by Incorporating its Features into Synthetic Speech.- 3.Monolingual and Cross-Lingual Text Classification.- 4.Towards Text Simplification for Lithuanian.- 5.Selection of preprocessing parameters for Wave-U-Net-based speech-denoising.- 6.Application of AI-based methods in the study of textual historical sources and urban heritage landscapes.- Part2.AI-supported multimedia systems.- 7.A Review of Quantum Machine Learning Applications.- 8.Class imbalance and data splitting approaches for face image pain classification: survey and experimental comparisons.- 9.Commit Classification for Software Change Intention Categorization Through Multimodal Machine Learning.- 10.AI for Earth Observation.- 11.Generative approach to supervised classification of spatio-temporal data via continuous observation Hidden Markov Model.- 12."Deformed solitary solutions to nonlinear differential equations based on the AI-assisted generalized operator of differentiation".

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