Description

Book Synopsis

.- Design, Modeling and Application of AI Algorithms.

.- Hybrid Architecture Accelerator Co-design for DNN on FPGA and ASIC.

.- Modeling Competitive Behavior in Weight-Unbalanced Social Networks.

.- DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction.

.- Muography Inversion Based on First-Order Optimization Algorithm.

.- Regression-based Index Tracking versus Clustering-based Index Tracking: An Empirical Study.

.- Adversarial Imitation Learning Based on Weighted Wasserstein Distance.

.- Robust and Efficient Early Exit for Large Language Models: Mitigating KV Cache Loss and Enhancing Exit Stability.

.- CDEDI: A Conditional Diffusion Based Model for Environmental Data imputation.

.- Joint Forecasting of Stock Price Change Rate Based on Pretrained Models Using Text and Temporal Data.

.- Multimodal Deep Learning for Retinal Disease Diagnosis.

Advances in Neural Networks ISNN 2025

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    Order before 4pm today for delivery by Sat 20 Jun 2026.

    A Paperback by Long Jin

    15 in stock

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      View other formats and editions of Advances in Neural Networks ISNN 2025 by Long Jin

      Publisher: Springer
      Publication Date: 17/09/2025
      ISBN13: 9789819512324, 978-9819512324
      ISBN10:
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

      .- Design, Modeling and Application of AI Algorithms.

      .- Hybrid Architecture Accelerator Co-design for DNN on FPGA and ASIC.

      .- Modeling Competitive Behavior in Weight-Unbalanced Social Networks.

      .- DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction.

      .- Muography Inversion Based on First-Order Optimization Algorithm.

      .- Regression-based Index Tracking versus Clustering-based Index Tracking: An Empirical Study.

      .- Adversarial Imitation Learning Based on Weighted Wasserstein Distance.

      .- Robust and Efficient Early Exit for Large Language Models: Mitigating KV Cache Loss and Enhancing Exit Stability.

      .- CDEDI: A Conditional Diffusion Based Model for Environmental Data imputation.

      .- Joint Forecasting of Stock Price Change Rate Based on Pretrained Models Using Text and Temporal Data.

      .- Multimodal Deep Learning for Retinal Disease Diagnosis.

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