Results 11 to 20 of about 133,429 (217)
BMC Medical Imaging, 2021 Background In medical diagnosis of brain, the role of multi-modal medical image fusion is becoming more prominent. Among them, there is no lack of filtering layered fusion and newly emerging deep learning algorithms.
Kai Guo +4 more
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Frontiers in Oncology, 2021 BackgroundThe prognostic value of immune-related genes and lncRNAs in neuroblastoma has not been elucidated, especially in subgroups with different outcomes.
Xiaodan Zhong +11 more
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Symbol Grounding and the Symbolic Theft Hypothesis [PDF]
, 2002 Scholars studying the origins and evolution of language are also interested in the general issue of the evolution of cognition. Language is not an isolated capability of the individual, but has intrinsic relationships with many other behavioral, cognitive, and social abilities.
Cangelosi, Angelo +2 more
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IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units
IEEE Access, 2020 People are admitted to intensive care units (ICUs) because they need complete support for failing organ systems, constant monitoring, routine nursing care, and treatment.
Zhenkun Shi +5 more
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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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Prediction of Synergistic Antibiotic Combinations by Graph Learning
Frontiers in Pharmacology, 2022 Antibiotic resistance is a major public health concern. Antibiotic combinations, offering better efficacy at lower doses, are a useful way to handle this problem.
Ji Lv +6 more
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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
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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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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.
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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
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