Description

Book Synopsis

Utilizing Deep Learning to address Temporal and Spatial Dependencies in Weather Forecasting.- Imagined Digits Recognition Based on Masked Electroencephalography Modeling.- THGCN:Temporal Hypergraph Convolutional Network for Subject Independent EEG Emotion Recognition.- ANN-Based Pollution Forecasting Through Short-Term Spatio-Temporal Analysis: A North Island, New Zealand Case Study.- Detection of Animal Movement from Weather Radar using Self-Supervised Learning.- From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning.- Analysis on Artificial Representations of a Trained AlexNet Model Using the CIFAR-10 Dataset.- Modelling the influence of temperature and rainfall on the spread of African swine fever in Australia.- An EEG-based Spatial-Temporal Hybrid Architecture for Cognitive Load Detection.- Decoding Psychological Stress during Laparoscopic Surgery Training: Insights from EEG.- A Comparison between baseline models and a transformer network for SOC prediction of lithium-ion batteries.- Insights into Long-term Electrical Load Forecasting: Explainable AI approach on Multivariate LSTM.- Artificial Intelligence and Climate Change: A Review of Causes and Opportunities.- Towards a machine learning model to predict cognitive ability using EEG data and virtual spatial navigation task scores in intellectually disabled adults.- HyPeFL: Tackling Data Heterogeneity via Hypernetwork in Personalized Federated Learning.- NeuroGeMS: An open-source GUI software for multimodal modelling in biomedical research and applications.- Multimodal Multiview Graph Convolution Network for the Diagnosis of Alzheimer’s Disease.- DNA-PRIME: Advanced DNA Sequence Compression through Enhanced Feature Fusion and Weight Hashing.- SnE-VNet: A Deep Learning Model with Squeeze and Excitation for Improved 3D Stroke Lesion Segmentation.- Morphology-Guided 3D Skull Gender Identification with Point-BERT.- Cuffless Blood Pressure Measurement From Photoplethysmography through High and low Frequency Information Fusion Attention Mechanism.- Hybrid EEG-fNIRS decoding for fine joint motor imagery of Unilateral Upper Limb with Two-Stage Hybrid Training.- A Neural Network-Augmented Case-Based Reasoning Framework for Weather Risk Modeling using Remote Sensing Data.- Autonomous Design of Floor Plan Based on Architectural Drawings Example without Neighbour Relation.- Using ensemble learning algorithms to integrate multisource remote sensing data for mapping regional forest canopy height.- MTDS: Meta-Path Context Enhanced Drug Combination Synergy Prediction.- A Federated Learning Approach for Genomic Selection in Pigs.- TOP-EEG: a robust software to predict the outcomes of therapies for depression using EEG signals in DGMD domain.- Neural Network as Surrogate Model for Sleep EEG Trajectories and Insomnia Disorder Classification.

Neural Information Processing

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    A Paperback by Mufti Mahmud

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

      Publisher: Springer
      Publication Date: 28/07/2025
      ISBN13: 9789819670321, 978-9819670321
      ISBN10:
      Also in:
      Pattern recognition

      Description

      Book Synopsis

      Utilizing Deep Learning to address Temporal and Spatial Dependencies in Weather Forecasting.- Imagined Digits Recognition Based on Masked Electroencephalography Modeling.- THGCN:Temporal Hypergraph Convolutional Network for Subject Independent EEG Emotion Recognition.- ANN-Based Pollution Forecasting Through Short-Term Spatio-Temporal Analysis: A North Island, New Zealand Case Study.- Detection of Animal Movement from Weather Radar using Self-Supervised Learning.- From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning.- Analysis on Artificial Representations of a Trained AlexNet Model Using the CIFAR-10 Dataset.- Modelling the influence of temperature and rainfall on the spread of African swine fever in Australia.- An EEG-based Spatial-Temporal Hybrid Architecture for Cognitive Load Detection.- Decoding Psychological Stress during Laparoscopic Surgery Training: Insights from EEG.- A Comparison between baseline models and a transformer network for SOC prediction of lithium-ion batteries.- Insights into Long-term Electrical Load Forecasting: Explainable AI approach on Multivariate LSTM.- Artificial Intelligence and Climate Change: A Review of Causes and Opportunities.- Towards a machine learning model to predict cognitive ability using EEG data and virtual spatial navigation task scores in intellectually disabled adults.- HyPeFL: Tackling Data Heterogeneity via Hypernetwork in Personalized Federated Learning.- NeuroGeMS: An open-source GUI software for multimodal modelling in biomedical research and applications.- Multimodal Multiview Graph Convolution Network for the Diagnosis of Alzheimer’s Disease.- DNA-PRIME: Advanced DNA Sequence Compression through Enhanced Feature Fusion and Weight Hashing.- SnE-VNet: A Deep Learning Model with Squeeze and Excitation for Improved 3D Stroke Lesion Segmentation.- Morphology-Guided 3D Skull Gender Identification with Point-BERT.- Cuffless Blood Pressure Measurement From Photoplethysmography through High and low Frequency Information Fusion Attention Mechanism.- Hybrid EEG-fNIRS decoding for fine joint motor imagery of Unilateral Upper Limb with Two-Stage Hybrid Training.- A Neural Network-Augmented Case-Based Reasoning Framework for Weather Risk Modeling using Remote Sensing Data.- Autonomous Design of Floor Plan Based on Architectural Drawings Example without Neighbour Relation.- Using ensemble learning algorithms to integrate multisource remote sensing data for mapping regional forest canopy height.- MTDS: Meta-Path Context Enhanced Drug Combination Synergy Prediction.- A Federated Learning Approach for Genomic Selection in Pigs.- TOP-EEG: a robust software to predict the outcomes of therapies for depression using EEG signals in DGMD domain.- Neural Network as Surrogate Model for Sleep EEG Trajectories and Insomnia Disorder Classification.

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