Results 191 to 200 of about 1,489,144 (280)
Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar +6 more
wiley +1 more source
AFCLNet: An Attention and Feature-Consistency-Loss-Based Multi-Task Learning Network for Affective Matching Prediction in Music-Video Clips. [PDF]
Su Z, Liu J, Zhang L, Feng Y, Ren H.
europepmc +1 more source
Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss +4 more
wiley +1 more source
stSCI: A multi-task learning framework for integrative analysis of single-cell and spatial transcriptomics data. [PDF]
Shu H +9 more
europepmc +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Multi-task learning for estimation of remote PPG and respiration signals with complex valued convolutional neural network. [PDF]
Lee J +6 more
europepmc +1 more source
In this Perspective, we highlight the processing science and scale‐up capabilities of the Materials Engineering Research Facility (MERF) at the U.S. Department of Energy's Argonne National Laboratory, with an emphasis on practical solutions for sustainable water and critical resource recovery. We demonstrate how national laboratories bridge fundamental
Yuepeng Zhang +9 more
wiley +1 more source
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality. [PDF]
Hwang M +4 more
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation. [PDF]
Rauschenberger A, Nazarov PV, Glaab E.
europepmc +1 more source

