Results 51 to 60 of about 2,895,343 (277)
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Badminton Activity Recognition Using Accelerometer Data
A thorough analysis of sports is becoming increasingly important during the training process of badminton players at both the recreational and professional level.
Tim Steels +5 more
doaj +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
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks
Human activity understanding with 3D/depth sensors has received increasing attention in multimedia processing and interactions. This work targets on developing a novel deep model for automatic activity recognition from RGB-D videos.
Lin, Liang +4 more
core +1 more source
ABSTRACT Chemotherapy‐induced peripheral neuropathy remains a major complication in pediatric cancer, with disrupted somatosensory and nociceptive processing being a key aspect. This review synthesizes empirical studies on alterations in somatosensory and nociceptive processing in children and adolescents with cancer.
Julia Schweiger +4 more
wiley +1 more source
Cost-Effective Multitask Active Learning in Wearable Sensor Systems
Multitask learning models provide benefits by reducing model complexity and improving accuracy by concurrently learning multiple tasks with shared representations.
Asiful Arefeen, Hassan Ghasemzadeh
doaj +1 more source
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
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition
Activity recognition using data collected with smart devices such as mobile and wearable sensors has become a critical component of many emerging applications ranging from behavioral medicine to gaming. However, an unprecedented increase in the diversity
Parastoo Alinia +4 more
doaj +1 more source
Results of the Childhood Cancer and Leukaemia Group's United Kingdom Relapsed Wilms Tumour Trial
ABSTRACT Background The United Kingdom relapsed Wilms tumour (UKW‐R) trial aimed to improve the historically low survival rates after relapse of Wilms tumour (WT) through a prospective national risk‐stratified protocol. The trial also evaluated efficacy and toxicity of high‐dose melphalan.
Sucheta J. Vaidya +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

