Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part XI / 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:

Lecture Notes in Computer Science, 1611-3349 ; 15296

Language:

English

Subjects (All):

Data mining.

Machine learning.

Pattern recognition systems.

Data Mining and Knowledge Discovery.

Machine Learning.

Automated Pattern Recognition.

Local Subjects:

Data Mining and Knowledge Discovery.

Machine Learning.

Automated Pattern Recognition.

Physical Description:

1 online resource (618 pages)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

The eleven-volume set LNCS 15286-15295 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.

Contents:

Human activity recognition model capable of handling various input waveforms

Enhance Radar Point Cloud with 2D Diffusion

LBRFL: Lightweight Privacy-Preserving Federated Learning with Byzantine-Robustness

Izhikevich Neurons in NeuCube for Longitudinal Data Classification

Calming the mind: Spiking Neural Networks Reveal How Havening Touch to Reduce Persistent Distress Attenuates Left Temporal Electroencephalographic Connectivity

SCA-LSTM: A Deep Learning Approach to Golf Swing Analysis and Performance Enhancement

Unsupervised Document Image Tampering Localization via Anomaly Detection

3VNet: Topological-structure driven Triple-V Network for Retinal Vessel Segmentation

Identification of Proton Exchange Membrane Fuel Cell Parameters Using a Parameterless Swarm Intelligent Algorithm

Spatio-Temporal Graph Neural Networks for Infant Language Acquisition Prediction

AUV Efficient Navigation Relying on Adaptive Proximal Policy Optimization

MedSiML: A Multilingual Approach for Simplifying Medical Texts

A Study on Time-Resilient Features for Detecting TLS Encrypted Malware Traffic

Enhancing Semantic Segmentation in Open Compound Domain Adaptation through Mixed Image and Epistemic Uncertainty

What should insect brains forget?

Agent Clustering and Information Sharing Underlying MADRQN for Traffc Light Cooperative Control

A Hybrid Contextual Deep Learning Model to Predict Renewable Energy Generation

Knowledge Tracing Method Based on Enhanced Global and Local Knowledge State Representation

Tensor Mutual Information: A Similarity Measurement for High-Dimensional Data

Enforcing Specific Behaviours via Constrained DRL and Scenario-Based Programming

Explainable AI in Feature Selection: Improving Classification Performance on Imbalanced Datasets

Enhancing Industrial Energy Efficiency with Predictive Analytics and Fuzzy Logic: A Case Study of Renewable Energy Management in the Meat Processing Industry

A Dual-Branch Riemannian Learning Network for EEG Speech Imagery Decoding

ROSAL: Semi-supervised Active Learning with Representation Aggregation and Outlier for Endoscopy Image Classification

Adaptive Population-Based Incremental Learning for Feature Selection in Leukemia Gene Expression Data. .

ISBN:

981-9666-06-6