Results 81 to 90 of about 7,156,184 (249)
An acoustic activity recognition based on deep reinforcement learning
上海师范大学学报. 自然科学版, 2020 Most of previous research normally relied on specific data and manual filtering of outliers for better performance.In this paper,a new strategy of activity recognition was proposed which was entirely free from the constraint of user data and guaranteed ...
LIU Ming, HUANG Jifeng, GAO Hai
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Applications of mobile activity recognition [PDF]
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012 Activity Recognition (AR), which identifies the activity that a user performs, is attracting a tremendous amount of attention, especially with the recent explosion of smart mobile devices. These ubiquitous mobile devices, most notably but not exclusively smartphones, provide the sensors, processing, and communication capabilities that enable the ...
Jeffrey W. Lockhart +2 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa +7 more
wiley +1 more source
Improving IoT Predictions through the Identification of Graphical Features
Sensors, 2019 IoT sensor networks have an inherent graph structure that can be used to extract graphical features for improving performance in a variety of prediction tasks.
Syeda Akter, Lawrence Holder
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
Plan, activity, and intent recognition : theory and pratice /
, 2014 Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language ...
Sukthankar, Gita.
core
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets
Sensors, 2018 Working with multimodal datasets is a challenging task as it requires annotations which often are time consuming and difficult to acquire. This includes in particular video recordings which often need to be watched as a whole before they can be labeled ...
Alexander Diete +2 more
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Personalization in Human Activity Recognition
CoRR, 2020 2 ...
Anna Ferrari +3 more
openaire +3 more sources