Results 101 to 110 of about 46,330 (328)
Annals of Gastroenterological Surgery, EarlyView.AI‐based segmentation of fascial planes during total mesorectal excision. Ground truth and predicted boundaries are compared for mesorectal fascia (blue), parietal pelvic fascia (red), and the holy plane (white). ABSTRACT Aim Total mesorectal excision entails dissection of the “holy plane” without damaging the mesorectal and parietal pelvic fasciae. We
Yuta Suzuki +6 more
wiley +1 more source
Generalized Results on Monoids as Memory
, 2017 We show that some results from the theory of group automata and monoid automata still hold for more general classes of monoids and models. Extending previous work for finite automata over commutative groups, we demonstrate a context-free language that ...
D'Alessandro, Flavio +2 more
core +1 more source
Mapping uncertainty using differentiable programming
AIChE Journal, EarlyView.Abstract Uncertainty quantification (UQ) and propagation is a ubiquitous challenge in science, permeating our field in a general fashion, and its importance cannot be overstated. Recently, the commoditization of differentiable programming, motivated by the development of machine learning, has allowed easier access to tools for evaluating derivatives of
Victor Alves +3 more
wiley +1 more source
Decompositions of Grammar Constraints [PDF]
, 2008 A wide range of constraints can be compactly specified using automata or formal languages. In a sequence of recent papers, we have shown that an effective means to reason with such specifications is to decompose them into primitive constraints.
Quimper, Claude-Guy, Walsh, Toby
core +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Advanced Intelligent Systems, EarlyView.Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
A Proactive Agent Collaborative Framework for Zero‐Shot Multimodal Medical Reasoning
Advanced Intelligent Systems, EarlyView.This work proposes a multimodal medical collaborative reasoning framework, which imitates clinician's working patterns of comparative analysis. The framework includes a cohort of domain‐expert models, and an large language model learner agent to generate inquiries and interact with these experts to gather the essential information, and integrate the ...
Zishan Gu +4 more
wiley +1 more source
Multicluster Distributed Optimization Strategy for Turbine Wake Environment
Advanced Intelligent Systems, EarlyView.This article studies the wake analysis of wind farms in different aspects, including basic methods, clustering optimization, and wake optimization. Through multiclustering, the wake optimization in a specific wind farm environment is explored. And focusing on the time cost and other issues that need to be solved in practical applications, targeted ...
Zhenping Yu +5 more
wiley +1 more source