An Expertise Transfer Framework For Autonomous Surgical Assistance
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source
Object-Oriented Bayesian Networks for a Decision Support System [PDF]
We study an economic decision problem where the actors are two rms and the Antitrust Authority whose main task is to monitor and prevent rms potential anti-competitive behaviour.
Paola Vicard +2 more
core
Q‐LEAP: Millisecond Hyperdimensional Optimization for Full‐Spectrum Optical Metamaterials
Q‐LEAP integrates physics‐informed residual machine learning with factorization‐machine‐encoded quantum annealing to design full‐spectrum optical metamaterials. It explores a 2108 design space and, in a single 2.56 ms annealing step, reaches 85.83% of the theoretical FoM limit, enabling selective 5‐8 µm emission with 3–5 and 8–14 µm suppression and ∼40×
Zikang Guo +3 more
wiley +1 more source
Partially non-homogeneous dynamic Bayesian networks based on Bayesian regression models with partitioned design matrices. [PDF]
Shafiee Kamalabad M +3 more
europepmc +1 more source
Accounting for multiple impacts of the Common agricultural policies in rural areas: an analysis using a Bayesian networks approach [PDF]
In evaluating the potential effects of the reforms of the Common Agricultural Policy, a particularly challenging issue is the representation of the complexity of rural systems either in a static or dynamic framework.
Viaggi, Davide +2 more
core
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Real-time monitoring and prediction of remote operator fatigue in plateau deep mining based on dynamic Bayesian networks. [PDF]
Chen S +8 more
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Inferring skin-brain-skin connections from infodemiology data using dynamic Bayesian networks. [PDF]
Scutari M, Kerob D, Salah S.
europepmc +1 more source

