Results 71 to 80 of about 8,580,577 (295)
Recognition of Human Activities Using Depth Maps and the Viewpoint Feature Histogram Descriptor
In this paper we propose a way of using depth maps transformed into 3D point clouds to classify human activities. The activities are described as time sequences of feature vectors based on the Viewpoint Feature Histogram descriptor (VFH) computed using ...
Kamil Sidor, Marian Wysocki
doaj +1 more source
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Integrated sensing and communications (ISAC) technology is being developed in wireless communications systems in the sixth generation (6G). ISAC has the advantages of lower cost, better spectral efficiency, and better energy efficiency than systems that ...
Mikael Ade Krisna Respati, Byung Moo Lee
doaj +1 more source
Probabilistic activity recognition in navigation [PDF]
Comunicació presentada al 11th Workshop on Positioning, Navigation and Communication (WPNC), celebrat els dies 12 i 13 de març de 2014 a Dresden, Alemanya.
Octavi Font +4 more
openaire +2 more sources
Machine Learning approach to sport activity recognition from inertial data [PDF]
In this thesis we consider an Activity recognition problem for Cross-Country Skiing; the goal of this work is to recognize different types of Cross Country techniques from inertial sensors equipped on a wear- able device.
Minetto, Luca
core
Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
wiley +1 more source
Transfer Learning-Driven Cattle Instance Segmentation Using Deep Learning Models
Among the emerging applications of artificial intelligence is animal instance segmentation, which has provided a practical means for various researchers to accomplish some aim or execute some order.
Rotimi-Williams Bello +3 more
doaj +1 more source
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann +8 more
wiley +1 more source
Analysis and Recognition of Human Gait Activity Based on Multimodal Sensors
Remote health monitoring plays a significant role in research areas related to medicine, neurology, rehabilitation, and robotic systems. These applications include Human Activity Recognition (HAR) using wearable sensors, signal processing, mathematical ...
Diego Teran-Pineda +2 more
doaj +1 more source
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz +6 more
wiley +1 more source

