Results 171 to 180 of about 16,854 (264)
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino +2 more
wiley +1 more source
SABER-BIM: A Component-Level Adaptive Lightweighting Framework for Digital Twin BIM Models. [PDF]
Yang Z +3 more
europepmc +1 more source
ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro +4 more
wiley +1 more source
Meta-path guided policy distillation for resilient coordination in autonomous unmanned swarm. [PDF]
Han X +11 more
europepmc +1 more source
Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto +2 more
wiley +1 more source
AI driven dual constraint cooptimization of affective semantics and engineering parameters for biomimetic product design. [PDF]
Wang Y, He J, Yang M, Hao Z, Kim KS.
europepmc +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Multiscale feature fusion for few-shot medical image learning with fisher information-driven layer selection. [PDF]
Zhang K, Peng Y, Pang B, Chen X.
europepmc +1 more source
Incremental refinement of relevance rankings: Balancing relevance depth and scope
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source
Large-Scale Model-Enhanced Vision-Language Navigation: Recent Advances, Practical Applications, and Future Challenges. [PDF]
Li Z, Meng X, He X, Zhang Y, Yin W.
europepmc +1 more source

