Neural Information Processing

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.