Results 81 to 90 of about 10,888,923 (302)

Multiple Hierarchical Cross-Scale Transformer for Remote Sensing Scene Classification

Remote Sensing
The Transformer model can capture global contextual information but does not have an inherent inductive bias. In contrast, convolutional neural networks (CNNs) are highly praised in computer vision due to their strong inductive bias and local spatial ...
Dan Zhang, Wenping Ma, Licheng Jiao, Xu Liu, Yuting Yang, Fang Liu   +5 more
doaj   +1 more source

Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks

The Scientific World Journal, 2014
Community structure is one of the most important properties in social networks. In dynamic networks, there are two conflicting criteria that need to be considered.
Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao   +4 more
doaj   +1 more source

Divide-and-Conquer Dual-Architecture Convolutional Neural Network for Classification of Hyperspectral Images

Remote Sensing, 2019
Convolutional neural network (CNN) is well-known for its powerful capability on image classification. In hyperspectral images (HSIs), fixed-size spatial window is generally used as the input of CNN for pixel-wise classification.
Jie Feng, Lin Wang, Haipeng Yu, Licheng Jiao, Xiangrong Zhang   +4 more
doaj   +1 more source

Understanding Fratelli Tutti by Understanding 'Understanding'

, 2021
Understanding is oft misunderstood as a species of knowledge in philosophy by equating it with propositional understanding. However, understanding – which was regarded as a greater cognitive achievement than knowledge even in ancient Greek philosophy – is desired more than knowledge in both science and philosophy.
openaire   +1 more source

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

FEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure, Misaki K. Nishio, Satoru Okuda, Kohji Hotta   +3 more
wiley   +1 more source

Improving Students' Conceptual Understanding and Mathematical Connections Using the CORE (Connecting, Organizing, Reflecting, Extending) Learning Model [PDF]

This research aims to examine and describe: (1) the effect of CORE learning model on students' conceptual understanding and mathematical connection skills; (2) the superiority of CORE learning model in terms of students' conceptual understanding skills ...
Sujasmin, Eduardus Mujiarto, Hidayati, Kana   +1 more
core   +3 more sources

情報の伝達から理解へ [PDF]

, 2016
A long-standing dream in research on artificial intelligence (AI) is to build a strong AI, which understands and processes the input, unlike a weak AI which just processes it as programmed.
日高, 昇平
core   +1 more source

A multi-task genetic programming approach for online multi-objective container placement in heterogeneous cluster

Complex & Intelligent Systems
Owing to the potential for fast deployment, containerization technology has been widely used in web applications based on microservice architecture.
Ruochen Liu, Haoyuan Lv, Ping Yang, Rongfang Wang   +3 more
doaj   +1 more source

Biophysical approaches for studying viral entry

FEBS Letters, EarlyView.
Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley   +1 more source

Unraveling electronic correlations in warm dense quantum plasmas

Nature Communications
The study of matter at extreme densities and temperatures has emerged as a highly active frontier at the interface of plasma physics, material science and quantum chemistry with relevance for planetary modeling and inertial confinement fusion.
Tobias Dornheim, Tilo Döppner, Panagiotis Tolias, Maximilian P. Böhme, Luke B. Fletcher, Thomas Gawne, Frank R. Graziani, Dominik Kraus, Michael J. MacDonald, Zhandos A. Moldabekov, Sebastian Schwalbe, Dirk O. Gericke, Jan Vorberger   +12 more
doaj   +1 more source