Results 71 to 80 of about 7,362,198 (297)
Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network [PDF]
One of recent trends [31, 32, 14] in network architecture design is stacking small filters (e.g., 1x1 or 3x3) in the entire network because the stacked small filters is more efficient than a large kernel, given the same computational complexity. However,
Chao Peng +4 more
semanticscholar +1 more source
Drug‐Free Thrombolysis Mediated by Physically Activated Micro/Nanoparticles
Overview of particle‐mediated thrombolytic effects (thermal, mechanical, and chemical) and their activating physical stimuli (light, ultrasound, and magnetic field) in drug‐free thrombolysis. ABSTRACT Thrombus‐associated disorders rank among the world's leading causes of death, with ischemic heart disease and stroke as the main contributors.
Pierre Sarfati +2 more
wiley +1 more source
Lexical retrieval in fluent and nonfluent aphasia: a network analysis of verbal fluency data
Lexical retrieval is commonly impaired in many persons with aphasia (PWA). Verbal fluency tasks are often used to assess lexical retrieval ability. However, common methods of analyzing verbal fluency data (e.g., total number of appropriate responses ...
Catherine T. Pham +2 more
doaj +1 more source
Predicting and Explaining Human Semantic Search in a Cognitive Model
Recent work has attempted to characterize the structure of semantic memory and the search algorithms which, together, best approximate human patterns of search revealed in a semantic fluency task.
Miscevic, Filip +2 more
core +1 more source
Socio-semantic network analysis explores the duality of semantic and social systems. Building upon the key notion that social relationships and semantic associations shape each other, it uncovers network-level relations and micro-level mechanisms that reflect the interplay between social structures of groups and semantic structures of culture ...
Basov, Nikita, Roth, Camille
openaire +3 more sources
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
THE DETERMINATION METHOD FOR CONTEXTUAL MEANINGS OF WORDS AND DOCUMENTS
Problems and methods are considered for program context recognition of words and text documents. Survey of existent text processing methods is provided, simple numeric algorithm is given for determination of words and documents context with a help of ...
Elizaveta A. Dorenskaya, Yuri A. Semenov
doaj +1 more source
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras
Visual scene understanding is an important capability that enables robots to purposefully act in their environment. In this paper, we propose a novel approach to object-class segmentation from multiple RGB-D views using deep learning.
Cremers, Daniel +3 more
core +1 more source
Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser +6 more
wiley +1 more source
The Spider Anatomy Ontology (SPD)—A Versatile Tool to Link Anatomy with Cross-Disciplinary Data
Spiders are a diverse group with a high eco-morphological diversity, which complicates anatomical descriptions especially with regard to its terminology.
Martín J. Ramírez, Peter Michalik
doaj +1 more source

