Results 171 to 180 of about 1,854,961 (349)

Should We Expect Government Policy to Be Pareto Efficient?: The Consequences of an Arrow-Debreu Economy with Violable Property Rights [PDF]

open access: yes
To address the question, "Should we expect government policy to be efficient?" at its roots, I modify the well-known Arrow-Debreu private ownership economy, allowing property rights to be violable.
Bullock, David S.
core   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Which Explains Stock Return Co-movement better, Corporate Governance or Corporate Transparency? Evidence from R2 (in English) [PDF]

open access: yes
A hypothesis is examined in support of Jin and Myers (2006) using cross-country individual stock’s R2 (i.e., individual stock’s R2 are calculated from the market-model regression using each country’s market return and U.S. market returns).
Haksoon KIM
core  

Voxel‐SLAM: A Complete, Accurate, and Versatile Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping System

open access: yesAdvanced Intelligent Systems, EarlyView.
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu   +9 more
wiley   +1 more source

KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation

open access: yesAdvanced Intelligent Systems, EarlyView.
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li   +4 more
wiley   +1 more source

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