Results 81 to 90 of about 670,705 (254)

Recognition of Real-Time Video Activities Using Stacked Bi-GRU with Fusion-based Deep Architecture [PDF]

Journal of Universal Computer Science
Recognizing and understanding human activities in real-time videos is a challenging task due to the complex nature of video data and the need for efficient and accurate analysis.
Ujwala Thakur, Ankit Vidyarthi, Amarjeet Prajapati   +2 more
doaj   +3 more sources

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

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, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

Transfer-Learning-Based Human Activity Recognition Using Antenna Array

Remote Sensing
Due to its low cost and privacy protection, Channel-State-Information (CSI)-based activity detection has gained interest recently. However, to achieve high accuracy, which is challenging in practice, a significant number of training samples are required.
Kun Ye, Sheng Wu, Yongbin Cai, Lang Zhou, Lijun Xiao, Xuebo Zhang, Zheng Zheng, Jiaqing Lin   +7 more
doaj   +1 more source

Adaptive HAR System to Improve Recognition Accuracy

Mehran University Research Journal of Engineering and Technology, 2018
HAR (Human Activity Recognition) system becomes complex, inefficient and less accurate as we keep on adding new activities into the system; because it follows a specific procedure for activity recognition, from raw data collection to classification.
Muhammad Arshad Awan
doaj   +1 more source

Wearable Sensor-Based Human Activity Recognition via Two-Layer Diversity-Enhanced Multiclassifier Recognition Method

Sensors, 2019
Sensor-based human activity recognition can benefit a variety of applications such as health care, fitness, smart homes, rehabilitation training, and so forth.
Yiming Tian, Xitai Wang, Lingling Chen, Zuojun Liu   +3 more
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

FEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi, Pilar Samperio Ventayol, Natalie Burkard, Nicolas Schlegel, Carmen Aguilar, Sina Bartfeld   +5 more
wiley   +1 more source

Attention-Based CNN-BiGRU-Transformer Model for Human Activity Recognition

Applied Sciences
Human activity recognition (HAR) based on wearable sensors is a key technology in the fields of smart sensing and health monitoring. With the rapid development of deep learning, its powerful feature extraction capabilities have significantly enhanced ...
Mingda Miao, Weijie Yan, Xueshan Gao, Le Yang, Jiaqi Zhou, Wenyi Zhang   +5 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Fast Human Activity Recognition

Proceedings of the International Conference on Image Processing and Vision Engineering, 2021
Shane Reid, Sonya Coleman, Dermot Kerr, Philip J. Vance, Siobhan O'Neill   +4 more
openaire   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

FEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source