Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part XVI / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer.

Format:

Book

Author/Creator:

Mahmud, Mufti.

Contributor:

Doborjeh, Maryam.

Huang, Dejiang.

Leung, Andrew Chi Sing.

Doborjeh, Zohreh.

Tanveer, M.

Series:

Communications in Computer and Information Science, 1865-0937 ; 2297

Language:

English

Subjects (All):

Pattern recognition systems.

Data mining.

Machine learning.

Social sciences--Data processing.

Social sciences.

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Machine Learning.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Machine Learning.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (684 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

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.

Contents:

Optimisation of Fibre Selection For Tubes Production in Manufacturing of Optic Cables

Cross-Domain Evaluation of CNN-based and Generative Adversarial Networks Models’ Generalisability for (D)DoS Attack Detection in CPS and IoT

Robust Design of Echo State Networks for Soft Sensor Applications Based on Risk-Aware Optimization and Stability Testing

Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks

FISHER: An Efficient Sim2sim Training Framework Dedicated in Multi-AUV Target Tracking via Learning from Demonstrations

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection

Self-Supervised Pretraining-Enhanced Intelligent Quality Control for Ocean Observations with Limited Historical Data

SHAPE: Smart Shaping with Adaptation Physically Excited Networks

Accelerating Attentional Generative Adversarial Networks with Sampling Blocks

Weak Supervision Techniques towards Enhanced ASR Models in Industry-level CRM Systems

Guided Safe Diffusion: Prohibiting Diffusion Models from Generating Inappropriate Content

A Fine-Tuned Multi-Classifier Optimization Framework towards Safety-Critical Classes

Behavior-Driven Data Augmentation for Non-Intrusive Load Monitoring

Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia

A Robust Tensor Decomposition Model for Traffic Data Imputation with Capped Frobenius Norm in Smart City

A Federated Domain Generalization Method by Enhancing Knowledge Distillation With Stylistic Feature Dispatcher

RetailEye: Supervised Contrastive Learning with Compliance Matching for Retail Shelf Monitoring

Solving Expensive Dynamic Multi-Objective Problem via Cross-Problem Knowledge Transfer

XImgCom: Fine-tuned Text-Guided X-ray Image Synthesis for Airport Logistics Based on Hypercomplex Attention

Multiclass semantic segmentation of satellite Imagery using convolutional neural networks

PPDA: A Privacy Preserving Framework for Distributed Graph Learning

MonoTCM: Semantic-Depth Fusion Transformer for Monocular 3D Object Detection with Token Clustering and Merging

Illumination Estimation and Fourier-Guided Component Prediction for Enhancing Low-Light Images

Efficient Visual Object Tracking with Temporal Context-Aware Token Learning and Scale Adaptive Token Pruning

Towards Unveiling the Potential of Fuzzy Values as Features: A Comparative Study in Cybercrime Text Analysis

Hybrid Niching Differential Evolution with Restart Strategy for Multimodal Optimization

StreetSyn: A Full Radiance Field Solution for Street and Vehicle Free-View Synthesis.

ISBN:

981-9670-36-5

OCLC:

1528362625