東華大學圖書館 |

Neural information processing = 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.. Part XV /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural information processing/ edited by Mufti Mahmud ... [et al.].
Reminder of title:	31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.
remainder title:	ICONIP 2024
other author:	Mahmud, Mufti.
corporate name:	ICONIP (Conference)
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxxiv, 436 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-7033-8
ISBN:	9789819670338

Neural information processing = 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.. Part XV /
Neural information processing31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.Part XV /[electronic resource] :ICONIP 2024edited by Mufti Mahmud ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xxxiv, 436 p. :ill., digital ;24 cm. - Communications in computer and information science,22961865-0937 ;. - Communications in computer and information science ;2296..

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.

The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.

ISBN: 9789819670338

Standard No.: 10.1007/978-981-96-7033-8doiSubjects--Topical Terms:

582186
Neural networks (Computer science)
--Congresses.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Neural information processing = 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings.. Part XV /
LDR:04599nmm a2200361 a 4500 001 2413282
003 DE-He213
005 20250624130250.0
006 m d
007 cr nn 008maaau
008 260205s2025 si s 0 eng d
020 $a 9789819670338 $q (electronic bk.)
020 $a 9789819670321 $q (paper)
024 7 $a 10.1007/978-981-96-7033-8 $2 doi
035 $a 978-981-96-7033-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .I17 2024
111 2 $a ICONIP (Conference) $n (31st : $d 2024 : $c Auckland, N.Z.) $3 3789179
245 1 0 $a Neural information processing $h [electronic resource] : $b 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024 : proceedings. $n Part XV / $c edited by Mufti Mahmud ... [et al.].
246 3 $a ICONIP 2024
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xxxiv, 436 p. : $b ill., digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2296
505 0 $a 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.
520 $a The sixteen-volume set, CCIS 2282-2297, constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 472 regular papers presented in this proceedings set were carefully reviewed and selected from 1301 submissions. These papers primarily focus on the following areas: Theory and algorithms; Cognitive neurosciences; Human-centered computing; and Applications.
650 0 $a Neural networks (Computer science) $x Congresses. $3 582186
650 1 4 $a Automated Pattern Recognition. $3 3538549
650 2 4 $a Data Mining and Knowledge Discovery. $3 898250
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 3538516
700 1 $a Mahmud, Mufti. $3 3500851
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2296. $3 3789217
856 4 0 $u https://doi.org/10.1007/978-981-96-7033-8
950 $a Computer Science (SpringerNature-11645)