Results 171 to 180 of about 447,234 (333)
What's new? The current standard of care for locally advanced or metastatic renal cell carcinoma (aRCC) is either a combination of two immune checkpoint inhibitors (CPI) or a CPI plus a tyrosine kinase inhibitor (TKI). Here, the authors simulate a head‐to‐head trial comparing the real‐world effectiveness of these combination therapies with TKI ...
Peter J. Goebell +15 more
wiley +1 more source
Dataset of "how to communicate when submitting patches: an Empirical Study of the Linux Kernel"
Anonymous
openalex +1 more source
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam +3 more
wiley +1 more source
Vom Gewohnheitstier zur reflektierten Nutzung
Christian Berger
doaj +1 more source
Deep learning pipeline developed to filter high‐speed bat flight recordings captured inside a custom flight tunnel. ABSTRACT This research aims to investigate the flying kinematics of bats, drawing inspiration from nature to benefit humans in achieving vision‐independent flights. The project uses 50 cameras mounted inside a specially designed tunnel to
D. P. Jayathunga +4 more
wiley +1 more source
Easy and interactive taxonomic profiling with Metabuli App. [PDF]
Lee S +4 more
europepmc +1 more source
ABSTRACT Task‐based programming interfaces introduce a paradigm in which computations are decomposed into fine‐grained units of work known as “tasks”. StarPU is a runtime system originally developed to support task‐based parallelism on on‐premise heterogeneous architectures by abstracting low‐level hardware details and efficiently managing resource ...
Vanderlei Munhoz +5 more
wiley +1 more source
polars-bio-fast, scalable, and out-of-core operations on large genomic interval datasets. [PDF]
Wiewiórka M +3 more
europepmc +1 more source
ABSTRACT Background Machine learning (ML) is increasingly used to analyse pain‐related data, emphasising how well variables classify individuals, that is, training an algorithm to assign people to predefined groups such as high versus low pain sensitivity, rather than focusing on p‐values.
Jörn Lötsch +2 more
wiley +1 more source
Ranking-enhanced anomaly detection using Active Learning-assisted Attention Adversarial Dual AutoEncoder. [PDF]
Benabderrahmane S, Cheney J, Rahwan T.
europepmc +1 more source

