Results 131 to 140 of about 933,026 (316)

Unified transaction model for semantically rich operations

, 1994
We present here a unified transaction model for database systems with semantically rich operations. Based on the work in [SWY93], we develop constructive correctness criteria that encompass both serializability and failure atomicity in a uniform manner.
Vingralek, Radek, Ye, Haiyan, Breitbart, Yuri, Schek, H.J.   +3 more
openaire   +2 more sources

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Intensional Conceptualization Model and Its Language for Open Distributed Environments

AppliedMath
This paper introduces the Intensional Conceptualization Model for Open Environments (ICMOE), a formal framework designed to enable semantic integration in dynamic and distributed systems. Grounded in intensional logic and formalized via a domain-specific
Khaled Badawy, Aleksander Essex, AbdulMutalib Wahaishi   +2 more
doaj   +1 more source

Semantic Richness Effects in Memory

, 2015
The semantic richness of a word is multidimensional, and includes dimensions such as semantic neighborhood density, imageability, number of features, and valence. While certain dimensions (e.g., imageability) have been examined in the memory domain, the bulk of semantic richness research has been confined to visual word recognition tasks. Therefore, it
Lau, Mabel, Goh, Winston, Yap, Melvin
openaire   +1 more source

SURFACE: Semantically Rich Fact Validation with Explanations

, 2018
Judging the veracity of a sentence making one or more claims is an important and challenging problem with many dimensions. The recent FEVER task asked participants to classify input sentences as either SUPPORTED, REFUTED or NotEnoughInfo using Wikipedia as a source of true facts.
Padia, Ankur, Ferraro, Francis, Finin, Tim   +2 more
openaire   +2 more sources

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Prediction of Students’ Grade by Combining Educational Knowledge Graph and Collaborative Filtering

IEEE Access
Traditional collaborative filtering-based grade prediction methods overly rely on students’ historical grades and overlook the content correlation between courses, resulting in lower accuracy in predicting student grades.
Yiwen Zhang, Vladimir Y. Mariano, Rex P. Bringula   +2 more
doaj   +1 more source

Three symbol ungrounding problems: Abstract concepts and the future of embodied cognition [PDF]

, 2016
A great deal of research has focused on the question of whether or not concepts are embodied as a rule. Supporters of embodiment have pointed to studies that implicate affective and sensorimotor systems in cognitive tasks, while critics of embodiment ...
Dove, Guy
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source