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Delineating the electrocardiogram (ECG) waveform is an important step with high significance in cardiology diagnosis. It refers to extract the ECG morphology in start, peak, end points of waveform. Due to various shapes and abnormalities presented in ECG
Siti Nurmaini +6 more
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Introducing Autonomous Shuttle Services Based on Travel Patterns for the Elderly
The transportation-disadvantaged population is rapidly increasing through aging; moreover, the mobility of the elderly has increased due to life expectancy improvements and lifestyle changes.
Eunbi Kang +3 more
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Neuromorphic artificial intelligence systems
Modern artificial intelligence (AI) systems, based on von Neumann architecture and classical neural networks, have a number of fundamental limitations in comparison with the mammalian brain. In this article we discuss these limitations and ways to mitigate them. Next, we present an overview of currently available neuromorphic AI projects in which these
Dmitry Ivanov +6 more
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Adaptive signal control (ASC) is a well-researched topic that offers an efficient way for traffic management. It possesses a powerful ability to accommodate complex and constantly changing urban transportation networks.
Yi Zhang +5 more
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A Dual-View Approach for Multistation Short-Term Passenger Flow Prediction in Bus Transit Systems
Timely and accurate prediction of bus passenger flow plays a crucial role in uncovering real-time traffic demand, presenting an essential and formidable challenge in the realm of bus scheduling and management.
Gang Luo +4 more
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The advents in continuous fibre-reinforced polymer additive manufacturing (CFRP-AM) present unprecedented opportunities for the rapid development of next-generation high-performance composites with selectively and spatially distributed reinforcement ...
Guoquan Zhang +5 more
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Bone tissue is a composite material consisting of hydroxyapatite and collagen. It is known that bone tissue becomes brittle with age not only because of decreased bone density but also because of excessive apatite deposition in the tissue ...
Keita OSANAI +4 more
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Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification [PDF]
Background Electrocardiogram (ECG) signal classification plays a critical role in the automatic diagnosis of heart abnormalities. While most ECG signal patterns cannot be recognized by a human interpreter, they can be detected with precision using ...
Annisa Darmawahyuni +7 more
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This paper proposes a new hybrid evaluation method including Improved Analytic Hierarchy Process (IAHP), Entropy Method (EM), and Grey Comprehensive Evaluation Method (GCEM) to assess the transfer efficiency between rail transit and public bicycles.
Dongmei Yan +3 more
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Accurate Fetal QRS-Complex Classification from Abdominal Electrocardiogram Using Deep Learning
Fetal heart monitoring during pregnancy plays a critical role in diagnosing congenital heart disease (CHD). A noninvasive fetal electrocardiogram (fECG) provides additional clinical information for fetal heart monitoring.
Annisa Darmawahyuni +7 more
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