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

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.