Results 61 to 70 of about 980,735 (314)

Cost-Effective Multitask Active Learning in Wearable Sensor Systems

Sensors
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

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

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, Kyomi Kanaya, Kiyomi Aizawa, Masanori Onoki, Hirofumi Ozeki, Kazuko Suzuki, Ai Hayashi, Tomohiko Asamura   +7 more
wiley   +1 more source

A Survey on Machine Learning Enhanced Integrated Sensing and Communication Systems: Architectures, Algorithms, and Applications

IEEE Access
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

Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation [PDF]

, 2006
Evaluating the performance of a continuous activity recognition system can be a challenging problem. To-date there is no widely accepted standard for dealing with this, and in general methods and measures are adapted from related fields such as speech ...
Lukowicz, Paul, Paul Lukowicz, Troester, G, Jamie A. Ward, Gerhard Tröster, Lukowicz, P, Ward, JA, Ward, Jamie A, Tröster, Gerhard   +8 more
core   +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

Transfer Learning-Driven Cattle Instance Segmentation Using Deep Learning Models

Agriculture
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, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu   +3 more
doaj   +1 more source

Analysis and Recognition of Human Gait Activity Based on Multimodal Sensors

Mathematics, 2023
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, Karl Thurnhofer-Hemsi, Enrique Dominguez   +2 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

Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition

Sensors, 2023
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, Asiful Arefeen, Zhila Esna Ashari, Seyed Iman Mirzadeh, Hassan Ghasemzadeh   +4 more
doaj   +1 more source

Personalization in Human Activity Recognition

CoRR, 2020
2 ...
Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano   +3 more
openaire   +3 more sources