Results 111 to 120 of about 8,736,056 (314)
IEEE Access, 2016 Two popular representation learning paradigms are dictionary learning and deep learning. While dictionary learning focuses on learning “basis” and “features” by matrix factorization, deep learning focuses on extracting features via learning “weights” or “filter” in a greedy layer by layer fashion.
Snigdha Tariyal +3 more
openaire +3 more sources
Proceedings of the 3rd International Symposium on Automation, Information and Computing, 2022 Accepted by ISAIC 2022, 8 pages, three figures.
openaire +2 more sources
Case Studies in Construction MaterialsThe study investigated the seismic performance of steel box connector (SBC) precast beam–column connection specimens using cycling loading test. The cyclic loading tests provided a comprehensive understanding of SBC precast beam–column joint behavior ...
Khoa Vo Anh Pham +5 more
doaj +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Frontiers in NeurologyObjectiveWe investigated treatment persistence and adherence for levodopa adjunct medications and their relationship with demographic factors in Japanese patients with Parkinson’s disease (PD).MethodsThis longitudinal retrospective study used a Japanese ...
Masahiro Nagai +5 more
doaj +1 more source
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
Virtual Robotic Arm Control with Hand Gesture Recognition and Deep Learning Strategies
, 2017 Hand gestures and Deep Learning Strategies can be used to control a virtual robotic arm for real-time applications. A robotic arm which is portable to carry various places and which can be easily programmed to do any work of a hand and is controlled by ...
Ho, Chiung Ching, +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Interpretability Challenges in Deep Learning: A Focus on Symbolic Representation [PDF]
openAs deep learning models continue to demonstrate unprecedented performance across various domains, the interpretability of these models becomes a critical concern.
HAKIMINEJAD, SEPASEH
core
2018 International Conference on Computational Science and Computational Intelligence (CSCI), 2018 The ever-increasing number of Internet of Things (IoT) devices has created a new computing paradigm, called edge computing, where most of the computations are performed at the edge devices, rather than on centralized servers. An edge device is an electronic device that provides connections to service providers and other edge devices; typically, such ...
Sahar Voghoei +3 more
openaire +2 more sources