Results 21 to 30 of about 1,280,994 (296)
Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction
IEEE Access, 2019 Knowledge extracted from the protein-protein interaction (PPI) network can help researchers reveal the molecular mechanisms of biological processes. With the rapid growth in the volume of the biomedical literature, manually detecting and annotating PPIs ...
Hao Zhang +6 more
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Approximately bisimilar symbolic models for nonlinear control systems [PDF]
, 2007 Control systems are usually modeled by differential equations describing how physical phenomena can be influenced by certain control parameters or inputs.
Girard, Antoine +2 more
core +5 more sources
A Novel Histogram Region Merging Based Multithreshold Segmentation Algorithm for MR Brain Images
International Journal of Biomedical Imaging, 2017 Multithreshold segmentation algorithm is time-consuming, and the time complexity will increase exponentially with the increase of thresholds. In order to reduce the time complexity, a novel multithreshold segmentation algorithm is proposed in this paper.
Siyan Liu +3 more
doaj +1 more source
Al-Zahra: Journal for Islamic and Arabic Studies, 2021 This research deals with the symbolic miracles of the Qur’an in term of symbolic meaning contained in the Qur’an, from letters, numbers, names of surah and juz according to Luqman Abdul Qahar Sumabrata in his book “Fenomenologi Alquran”.
Usman Syihab, Novrita Novrita
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Rethinking Pointer Reasoning in Symbolic Execution [PDF]
, 2017 Symbolic execution is a popular program analysis technique that allows seeking for bugs by reasoning over multiple alternative execution states at once. As the number of states to explore may grow exponentially, a symbolic executor may quickly run out of
Coppa, Emilio +2 more
core +1 more source
Cognitive Processing, 2007 In situated and embodied approaches it is commonly assumed that the dynamics of sensorimotor engagement between an adaptive agent and its environment are crucial in understanding natural cognition. This perspective permits to address the symbol grounding problem, since the aboutness of any mental state arising during agent-environment engagement is ...
Pezzulo, G., Castelfranchi, C.
openaire +2 more sources
Online Adaptive Approximate Stream Processing With Customized Error Control
IEEE Access, 2019 In approximate processing on stream data, most works focus on how to approximate online arrival data. However, the efficiency of approximation needs to consider multiple aspects.
Xiaohui Wei +4 more
doaj +1 more source
A novel mind‐set in primate experimentation: Implications for primate welfare
Animal Models and Experimental Medicine, 2021 We emphasize the importance of studying the primate brain in cognitive neuroscience and suggest a new mind‐set in primate experimentation within the boundaries of animal welfare regulations.
Antonella Tramacere, Atsushi Iriki
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Distributed associative memories for high-speed symbolic reasoning [PDF]
, 1996 This paper briefly introduces a novel symbolic reasoning system based upon distributed associative memories which are constructed from correlation matrix memories (CMM). The system is aimed at high-speed rule-based symbolic operations.
Austin, J
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“Natural Laboratory Complex” for novel primate neuroscience
Frontiers in Integrative Neuroscience, 2022 We propose novel strategies for primate experimentation that are ethically valuable and pragmatically useful for cognitive neuroscience and neuropsychiatric research.
Atsushi Iriki +2 more
doaj +1 more source