Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 26, 2024, Proceedings, Part X [Paperback]

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.

MMOTS: A Multi-UAV Pursuit-Evasion Game Training Strategy Relying on Offine Reinforcement Learning.- SMSF-Net: A Semantics-Driven Multiscale Selective Fusion Network for Object Detection in Remote Sensing Images.- Enhanced ResNet with Attention Mechanisms for High-Accuracy Wildlife Monitoring: A Case Study on Penguins and Turtles.- Area-part Composite Graph Guided Robot Manipulation Reasoning in 3C Assembly.- Multi-Sensor Fusion for Localization and Mapping in Complex Environments.- BNF: Bayesian Network Fusion for Multimodal Sentiment Analysis.- Driver Cognitive Distraction Detection Based on Eye Movement Behavior and Spatio-Temporal Information Fusion.- Nested Relation Extraction Using Direct or Indirect Relations Between Entities.- Adaptively Augmented Consistency Learning: A Semi-supervised Segmentation Framework for Remote Sensing.- SABE: Structure-Aware Boundary-Enhanced Network for Elementary Topic Unit Extraction in Dialogue.- Enhancing Prompt Tuning with Multitask Embedding Reparameterization.- STD: Using Self-attention Discriminators to Improve Speech Synthesis.- Automated LanlC$