Results 61 to 70 of about 3,322,560 (298)

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

open access: yesAdvanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu   +6 more
wiley   +1 more source

Position Estimation of Multiple Receiving Coils and Power Transmission Control for WPT without Feedback

open access: yesEnergies, 2022
It is important to determine the position of the receiver (Rx) coils in wireless power transfer (WPT) system, and to control the power transmitted to the Rx coil based on this result.
Jun Heo   +3 more
doaj   +1 more source

Scope and situation binding in LTAG using semantic unification [PDF]

open access: yes, 2005
This paper develops a framework for TAG (Tree Adjoining Grammar) semantics that brings together ideas from different recent approaches.Then, within this framework, an analysis of scope is proposed that accounts for the different scopal properties of ...
Kallmeyer, Laura, Romero, Maribel
core   +1 more source

Conceptual Situation Spaces for Semantic Situation-Driven Processes [PDF]

open access: yes, 2008
Context-awareness is a highly desired feature across several application domains. Semantic Web Services (SWS) technologies address context-adaptation by enabling the automatic discovery of distributed Web services for a given task based on comprehensive semantic representations.
Stefan Dietze   +2 more
openaire   +1 more source

Some Computational Aspects of Situation Semantics

open access: yesAnnual Meeting of the Association for Computational Linguistics, 1981
Can a realist model theory of natural language be computationally plausible? Or, to put it another way, is the view of linguistic meaning as a relation between expressions of a natural language and things (objects, properties, etc.) in the world, as ...
Jon Barwise
semanticscholar   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

Situated Semantics

open access: yes, 2001
Chapter 21 This chapter sets out how an account of vision in which the world is considered to form an external memory allows for explanation of the experienced continuity of vision. It shows how the hypothesis of the world as an outside memory is supported by findings in the change and attentional blindness paradigms, as well as by the study of vision ...
openaire   +2 more sources

Degrees of L-Continuity for Mappings between L-Topological Spaces

open access: yesMathematics, 2019
By means of the residual implication on a frame L, a degree approach to L-continuity and L-closedness for mappings between L-cotopological spaces are defined and their properties are investigated systematically.
Zhenyu Xiu, Qinghua Li
doaj   +1 more source

Groping an indulgent on English Homographs among Lecturers of Semantics in Tanzania’s Universities

open access: yesJournal of Linguistics, Literary and Communication Studies, 2023
This paper sets out to examine the understanding of English homographs by Lecturers of Semantics in Tanzania’s Universities. Homographs are words with the same spelling but different pronunciations and semantics scope.
Chipanda Simon
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced 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

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