Results 231 to 240 of about 35,395 (320)

Robust Learning-Based Detection with Cost Control and Byzantine Mitigation. [PDF]

Sensors (Basel)
Zhong C, Gursoy MC, Velipasalar S.
europepmc   +1 more source

Semi‐mechanistic population PK/PD model to aid clinical understanding of myelodysplastic syndromes following treatment with Venetoclax and Azacitidine

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 448-459, March 2025.
Abstract Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease‐induced and treatment‐related cytopenias.
Neha Thakre, Corinna Maier, Jiuhong Zha, Benjamin Engelhardt, Johannes E. Wolff, Sven Mensing   +5 more
wiley   +1 more source

Grafted Composite Decision Tree: Adaptive Online Fault Diagnosis with Automated Robot Measurements. [PDF]

Sensors (Basel)
Kim S, Do Y, Zhang F.
europepmc   +1 more source

Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 486-494, March 2025.
Abstract The pharmaceutical industry has increasingly adopted model‐informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and disease complexities to predict clinical endpoints and biomarkers is central to MID3.
Hiroaki Iwata, Ryuta Saito
wiley   +1 more source

A skipping spectrum sensing scheme based on deep reinforcement learning for transform domain communication systems. [PDF]

Sci Rep
Li C, Wu Y, Zhu R, Wu R, Zhang Z, Wang Z.   +5 more
europepmc   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source

Strategic planning of prevention and surveillance for emerging diseases and invasive species. [PDF]

Proc Natl Acad Sci U S A
Wang J, Hanley BJ, Thompson NE, Gong Y, Walsh DP, Gonzalez-Crespo C, Huang Y, Booth JG, Caudell JN, Miller LA, Schuler KL.   +10 more
europepmc   +1 more source

Speeding Up the Convergence of Value Iteration in Partially Observable Markov Decision Processes

, 2001
Nevin L. Zhang, Weixiong Zhang
openalex   +2 more sources

Data assimilation with extremum Monte Carlo methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source

Autonomous navigation in unstructured outdoor environments using semantic segmentation guided reinforcement learning. [PDF]

Sci Rep
Tibermacine A, Tibermacine IE, Akrour D, Rabehi A, Habib M.   +4 more
europepmc   +1 more source