Results 81 to 90 of about 259,805 (294)
The integration of heterogeneous geospatial data, specifically low-cost unmanned aerial vehicle (UAV) imagery and mobile light detection and ranging (LiDAR) system point clouds, presents a significant challenge due to the significant radiometric and ...
Tee-Ann Teo, Hao Yu, Pei-Cheng Chen
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This fMRI study investigated the functional heterogeneity of the core nodes of the default mode network (DMN) during language processing. The core nodes of the DMN were defined as task-induced deactivations over multiple tasks in 94 healthy subjects.
Mohamed L Seghier, Cathy J Price
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Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Workflow matching using semantic metadata [PDF]
Workflows are becoming an increasingly more common paradigm to manage scientific analyses. As workflow repositories start to emerge, workflow retrieval and discovery becomes a challenge. Studies have shown that scientists wish to discover workflows given properties of workflow data inputs, intermediate data products, and data results.
Yolanda Gil +4 more
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Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Macroscale brain states support the control of semantic cognition
A crucial aim in neuroscience is to understand how the human brain adapts to varying cognitive demands. This study investigates network reconfiguration during controlled semantic retrieval in differing contexts. We analyze brain responses to two semantic
Xiuyi Wang +5 more
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Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Both parametric and non-parametric approaches have demonstrated encouraging performances in the human parsing task, namely segmenting a human image into several semantic regions (e.g., hat, bag, left arm, face).
Cao, Xiaochun +8 more
core +1 more source
Identifying Complex Semantic Matches [PDF]
One-to-one correspondences are not always sufficient to accurately align ontologies, and instead complex correspondences with conditions and transformations may be required. Correspondence patterns provide models which can be used to guide the process of developing complex correspondences.
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Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Match-Unity: Long-Form Text Matching With Knowledge Complementarity
Semantic text matching is a fundamental task in Natural Language Processing, with existing methods mainly focusing on short texts. However, handling long texts remains a challenge, as conventional approaches often involve slicing or keyword filtering ...
Zhiyi He +6 more
doaj +1 more source

