Results 81 to 90 of about 3,424,284 (379)

SciAgents: Automating Scientific Discovery Through Bioinspired Multi‐Agent Intelligent Graph Reasoning

open access: yesAdvanced Materials, EarlyView.
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley   +1 more source

LssDet: A Lightweight Deep Learning Detector for SAR Ship Detection in High-Resolution SAR Images

open access: yesRemote Sensing, 2022
Synthetic aperture radar (SAR) ship detection has been the focus of many previous studies. Traditional SAR ship detectors face challenges in complex environments due to the limitations of manual feature extraction.
Guoxu Yan   +4 more
doaj   +1 more source

Founded Semantics and Constraint Semantics of Logic Rules [PDF]

open access: yesJournal of Logic and Computation, 30(8):1609-1668, Dec. 2020, Oxford University Press, 2016
Logic rules and inference are fundamental in computer science and have been studied extensively. However, prior semantics of logic languages can have subtle implications and can disagree significantly, on even very simple programs, including in attempting to solve the well-known Russell's paradox.
arxiv   +1 more source

In‐Hand Singulation, Scooping, and Cable Untangling with a 5‐Dof Tactile‐Reactive Gripper

open access: yesAdvanced Robotics Research, EarlyView.
This article presents a two‐fingered gripper with five degrees of freedom and a vision‐based tactile sensor for dexterous in‐hand manipulation. It performs complex tasks such as object singulation within granular media, scooping and precise card insertion, and cable untangling.
Yuhao Zhou   +3 more
wiley   +1 more source

Anaphora and Discourse Structure [PDF]

open access: yes, 2002
We argue in this paper that many common adverbial phrases generally taken to signal a discourse relation between syntactically connected units within discourse structure, instead work anaphorically to contribute relational meaning, with only indirect ...
Joshi, Aravind   +3 more
core   +2 more sources

Integrating Dense Genotyping with High‐Throughput Phenotyping Empowers the Genetic Dissection of Berry Quality and Resilience Traits in Grapevine

open access: yesAdvanced Science, EarlyView.
Researchers develop advanced tools to study grapevine traits like berry quality and stress resilience. A 200K SNP array and high‐throughput phenotyping enable the identification of loci linked to berry shape, sugar content, acidity, and cold tolerance. Functional validation of genes such as NAC08 reveals roles in cold tolerance.
Yuyu Zhang   +11 more
wiley   +1 more source

Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification

open access: yesSensors, 2022
Person re-identification is essential to intelligent video analytics, whose results affect downstream tasks such as behavior and event analysis. However, most existing models only consider the accuracy, rather than the computational complexity, which is ...
Yalei Zhou   +4 more
doaj   +1 more source

Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning

open access: yesAdvanced Science, EarlyView.
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren   +5 more
wiley   +1 more source

A Neotropical Miocene Pollen Database Employing Image-Based Search and Semantic Modeling

open access: yesApplications in Plant Sciences, 2014
Premise of the study: Digital microscopic pollen images are being generated with increasing speed and volume, producing opportunities to develop new computational methods that increase the consistency and efficiency of pollen analysis and provide the ...
Jing Ginger Han   +5 more
doaj   +1 more source

Computing Networks Enabled Semantic Communications [PDF]

open access: yesarXiv, 2023
Semantic communication has shown great potential in boosting the effectiveness and reliability of communications. However, its systems to date are mostly enabled by deep learning, which requires demanding computing resources. This article proposes a framework for the computing networks enabled semantic communication system, aiming to offer sufficient ...
arxiv  

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