IEEE

Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning

Abstract: Utilizing messages from teammates can improve coordination in cooperative multiagent reinforcement learning (MARL). Previous works typically combine raw messages of teammates with local ...
IEEE

TBGA-Net: Trigonometric Bilinear Attention and Global-Aware Aggregation Network for Large-Scale 3D Point Cloud Segmentation

Abstract: The unstructured, unordered and inherent irregular sampling properties presents difficulties for accurate and efficient realizing semantic segmentation of large-scale 3D point cloud. The ...
IEEE

MTSNet: A Dual-Branch Geometric Feature Aggregation Network for Mapping Single Tree Stems From Terrestrial Laser Scanning Point Clouds

Abstract: Accurately mappingtree stems is essentialfor the analysis and estimation of tree parameters derived from terrestrial laser scanning (TLS) point clouds, including critical measurements such ...
IEEE

WWAggr: A Window Wasserstein-Based Aggregation for Ensemble Change Point Detection

Abstract: Change Point Detection (CPD) aims to identify moments of abrupt distribution shifts in data streams. Real-world high-dimensional CPD remains challenging due to data pattern complexity and ...
IEEE

Cross-modality Feature Aggregation for Cross-domain Point Cloud Representation Learning

Abstract: Existing methods for learning 3D point cloud representation often use a single dataset-specific training and testing approach, leading to performance drops due to significant domain shifts ...
IEEE

Federated Aggregation With Interlayer Personalized Contribution: Preference-Based Optimization Between Performance and Privacy

Abstract: Currently, due to the different distribution of data for each user, many personalized federated learning (PFL) methods have emerged to meet the personalized needs of different users. However ...
IEEE

Multipoint-to-Point All-Optical Channel Aggregation for Coherent Passive Optical Network Using Talbot-Based Processing and Power-Division Multiplexing

Abstract: We propose a multipoint-to-point all-optical channel aggregation scheme using Talbotbased processing and power-division multiplexing, enhancing scalability of uplink traffic in a coherent ...
IEEE

Efficient Semantic Segmentation of Transmission Line Corridor Point Clouds via Transformer With Vector Aggregation

Abstract: Ensuring precise segmentation of point clouds is essential for intelligent inspection in transmission line corridors. The massive scale, unordered distribution, and complex structures of ...
IEEE

Geometric-Relational Context Aggregation for Indoor Point Cloud Semantic Segmentation

Abstract: To address the limitations of insufficient geometric modeling and inadequate context fusion in indoor point cloud semantic segmentation, we propose Geometric-Relational Context Aggregation ...
IEEE

Aggregation and Comprehensive Assessment for Renewable Energy and Energy Storage Integrated into Power Grid

Abstract: As the integration of renewable energy sources (RES) such as wind and solar power into the power grid increases, the primary challenge lies in the high integration costs and the complexity ...
Commercial Appeal

The 2026 AI Cost Crisis: The Rise of One API Aggregation Platforms and Their Potential to Deliver 80% Savings

SINGAPORE, SINGAPORE, SINGAPORE, March 1, 2026 /EINPresswire.com/ — As the generative AI market hurtles toward a projected $1 trillion valuation by the end of 2026 ...