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

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.