Description

Book Synopsis

cPER2P: Parameter-Effcient Single-cell LLM for Translated Proteome Profiles.- CRAFT: Consistent Representational Fusion of Three Molecular Modalities.- AMPCL: Adaptive Meta-Path Selection and Contrastive Learning for miRNA-Disease Prediction.- Video-Driven Comprehensive 3D Hip Joint Motion Model for FAI Auxiliary Diagnosis.- LungCANet: A Novel Deep Co-Attention Convolutional Neural Network Architecture for High-Precision Lung Cancer Morphological Analysis and Classification.- ATFN: An Effcient Multi-Modal Depression Assistance Diagnostic Model Based on Multi-Channel Attention Mechanism.- Domain Knowledge Based Temporal-spatial Graph Convolution Network for ECG Recognition.- Adaptive Constrained ICABMGGMM: application to ECG blind source separation.- CRA-Eformer: Cross-scale Residual Attention-based Edge-guide Transformer for Low-Dose CT Denoising.- Improving Text Representation for Disease Detection From Social Media via Self-augmentation and Contrastive Learning.- Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data.- Split Learning on Multi-source Cross-streams.- Seizure Prediction based on Multi-scale Fusion-attention Transformer.- Dynamic Self-Attention Gated Spatial-Temporal Graph Convolutional Network for Skeleton-based Human Activity Recognition.- G-SwinHAR: Swin Transformer for Smartphone-Based Human Activity Recognition Using Gramian Angular Field.- Cross-feature Interactive Fusion for Speech Emotion Recognition.- Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction.- PoseRAC: Enhancing Repetitive Action Counting with Salient Poses.- Spatio-Temporal Graph Convolutional Networks for Pedestrian Trajectory Prediction.- Dual-branch StarNet with Mutual Attention and U-Net Denoising for Simultaneously Recognizing Keywords and Speakers.- Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition.- The Role of AI in Optimizing Human-centered Complex Systems.- A Global Interactive and Bottleneck Fusion Model for Multi-Intent Spoken Language Understanding.- GloveTyping: A Hand Gesture Recognition System for Text Input Using a Hierarchical Framework with Attention Mechanism.- Impacts of Prompt Perturbation on Reducing Bias and Hallucination of Large Language Models.- A Multi-task Emotion Recognition Model based on Continuously Labeled EEG Signals.- MUR: Multimodal Unified Refinement for Multimedia Recommendation.- Identifying Misaligned Features for Cross-Domain Cold-start Recommendation.- Temporal Semantic Scoring Path aware Multi-Embedding Sequential Recommendation.- Online Labor Market Task Recommendation via Time-weighted Diffusion Model.- Multi-Pattern Joint Denoising Sequential Recommendation with Diffusion Model.- ProFetch: Accelerate Deep Recommendation System Training with Proactively Designed Data Layout and Dynamic Prefetching.

Neural Information Processing

    Product form

    £66.49

    Includes FREE delivery

    RRP £69.99 – you save £3.50 (5%)

    Order before 4pm tomorrow for delivery by Wed 5 Aug 2026.

    A Paperback by Mufti Mahmud

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Neural Information Processing by Mufti Mahmud

      Publisher: Springer
      Publication Date: Publication Date: 19/07/2025
      ISBN13: 9789819665877, 978-9819665877
      ISBN10:
      Also in:
      Pattern recognition

      Description

      Book Synopsis

      cPER2P: Parameter-Effcient Single-cell LLM for Translated Proteome Profiles.- CRAFT: Consistent Representational Fusion of Three Molecular Modalities.- AMPCL: Adaptive Meta-Path Selection and Contrastive Learning for miRNA-Disease Prediction.- Video-Driven Comprehensive 3D Hip Joint Motion Model for FAI Auxiliary Diagnosis.- LungCANet: A Novel Deep Co-Attention Convolutional Neural Network Architecture for High-Precision Lung Cancer Morphological Analysis and Classification.- ATFN: An Effcient Multi-Modal Depression Assistance Diagnostic Model Based on Multi-Channel Attention Mechanism.- Domain Knowledge Based Temporal-spatial Graph Convolution Network for ECG Recognition.- Adaptive Constrained ICABMGGMM: application to ECG blind source separation.- CRA-Eformer: Cross-scale Residual Attention-based Edge-guide Transformer for Low-Dose CT Denoising.- Improving Text Representation for Disease Detection From Social Media via Self-augmentation and Contrastive Learning.- Improving Healthcare Outcomes by Identifying Populations with Higher Risk of Lung Cancer from Primary Care Data.- Split Learning on Multi-source Cross-streams.- Seizure Prediction based on Multi-scale Fusion-attention Transformer.- Dynamic Self-Attention Gated Spatial-Temporal Graph Convolutional Network for Skeleton-based Human Activity Recognition.- G-SwinHAR: Swin Transformer for Smartphone-Based Human Activity Recognition Using Gramian Angular Field.- Cross-feature Interactive Fusion for Speech Emotion Recognition.- Temporal-contextual Event Learning for Pedestrian Crossing Intent Prediction.- PoseRAC: Enhancing Repetitive Action Counting with Salient Poses.- Spatio-Temporal Graph Convolutional Networks for Pedestrian Trajectory Prediction.- Dual-branch StarNet with Mutual Attention and U-Net Denoising for Simultaneously Recognizing Keywords and Speakers.- Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition.- The Role of AI in Optimizing Human-centered Complex Systems.- A Global Interactive and Bottleneck Fusion Model for Multi-Intent Spoken Language Understanding.- GloveTyping: A Hand Gesture Recognition System for Text Input Using a Hierarchical Framework with Attention Mechanism.- Impacts of Prompt Perturbation on Reducing Bias and Hallucination of Large Language Models.- A Multi-task Emotion Recognition Model based on Continuously Labeled EEG Signals.- MUR: Multimodal Unified Refinement for Multimedia Recommendation.- Identifying Misaligned Features for Cross-Domain Cold-start Recommendation.- Temporal Semantic Scoring Path aware Multi-Embedding Sequential Recommendation.- Online Labor Market Task Recommendation via Time-weighted Diffusion Model.- Multi-Pattern Joint Denoising Sequential Recommendation with Diffusion Model.- ProFetch: Accelerate Deep Recommendation System Training with Proactively Designed Data Layout and Dynamic Prefetching.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account