Results 41 to 50 of about 643 (115)

Execution Time Optimization Through Feature and Temporal Reduction in Asset Pricing

Concurrency and Computation: Practice and Experience, Volume 38, Issue 15, August 2026.
ABSTRACT High‐dimensional financial machine learning (ML) pipelines are computational workloads as much as predictive models: their practical value depends on runtime, memory footprint, scalability, and the ability to retrain under resource constraints. This paper treats empirical asset pricing as a demanding real‐world workload and proposes Cost‐Aware
Umit Demirbaga, Yue Xu, Evrim Guler
wiley   +1 more source

Machine Learning‐assisted Interpretation of Scan‐Rate‐dependent Glucose Sensing on Nickel Cobalt Oxide/Porous Carbon Modified Screen‐printed Electrodes

Electrochemical Science Advances, Volume 6, Issue 4, August 2026.
Machine learning is integrated with electrochemical sensing to interpret cyclic voltammetry data for non‐enzymatic glucose detection using a NiCo2O4/porous carbon electrode. Predictive performance is shown to depend on scan rate and electrochemical behavior, with Linear Regression and LASSO providing robust predictions under different kinetic regimes ...
Shahin Faruk, Udhaya Ganesh Pitchai Kaveri, Manoj T., Krishnamoorthi Makkithaya, Harishkumar Madhyastha, Sundaram Gunasekaran, Mysore Sridhar Santosh, Aarti Sripathi Bhatt, Bistuvalli Chandrashekarappa Revanasidappa   +8 more
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, Volume 45, Issue 5, Page 2173-2185, August 2026.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

Predicting Outcomes of Traumatic Brain Injury Using Machine Learning Models Among Patients at Kilimanjaro Christian Medical Centre, Tanzania: A Registry‐Based Cohort Study

Health Science Reports, Volume 9, Issue 8, August 2026.
ABSTRACT Background Traumatic brain injury (TBI) remains a major global health burden, disproportionately affecting low‐ and middle‐income countries (LMICs) where access to neurocritical care is limited. Accurate and context‐appropriate prognostic models are crucial to guide early clinical decision‐making and optimize resource allocation in such ...
William Nkenguye, Edwin Joseph Shewiyo, João Vitor Perez De Souza, Timothy Antipas Peter, Alice Andongolile, Rosalia Njau, Baraka Moshi, Johnston George, Paige O'Leary, Catherine Staton, Blandina T. Mmbaga, Francis M. Sakita, João Ricardo Nickenig Vissoci, Innocent B. Mboya   +13 more
wiley   +1 more source

Prognostic Factors for Postoperative Complications. An Aggregate Protocol for 10 Observational Studies From the Danish TRIPLE‐A Cohort of 1.2 Million Surgeries

Acta Anaesthesiologica Scandinavica, Volume 70, Issue 7, August 2026.
ABSTRACT Background Postoperative complications substantially increase morbidity, mortality and healthcare costs. Understanding prognostic factors is essential for risk stratification, targeted prevention strategies, and development of prediction models.
Anders Peder Højer Karlsen, Asta Prescott, Caroline Folkersen, Jens Laigaard, Atena Saito, Caroline Lando Klammer, Mik Wetterslev, Emil Ipsen Ørskov, Mathilde Fahrendorff, Rebecca Kiær, Helene Holm Laigaard, Nichlas Hovmand, Lars Hyldborg Lundstrøm, Sebastian Buhl Rasmussen, Anders Kehlet Nørskov, Markus Harboe Olsen   +15 more
wiley   +1 more source

Mechanistic Study of Platelet Membrane‐Coated Resveratrol Nanosystem in Mitochondrial Dysfunction and Endothelial Senescence During Atherosclerotic Lesion Development via FOXM1 Activation

Aging Cell, Volume 25, Issue 8, August 2026.
Schematic diagram of the mechanism by which PM@RSV NPs alleviate AS via FOXM1 activation. ABSTRACT Atherosclerosis (AS) is closely linked to endothelial cell (EC) senescence and mitochondrial dysfunction, which impair vascular repair. Resveratrol (RSV) has antioxidant, anti‐inflammatory, and pro‐angiogenic effects, but its clinical use is restricted by
Li Xiao, Zexin Zhan, Ping Liu, Bing Qin
wiley   +1 more source

Machine learning‐driven investigation on liquid–liquid phase separation‐related prognostic signature in diffuse large B‐cell lymphoma

British Journal of Haematology, Volume 209, Issue 2, Page 461-468, August 2026.
Summary Diffuse large B‐cell lymphoma (DLBCL) is the most common aggressive non‐Hodgkin lymphoma and is characterized by substantial heterogeneity. This study aimed to develop a liquid–liquid phase separation (LLPS)‐related prognostic model to improve risk stratification.
Zhen‐Zhong Zhou, Jia‐Chen Lu, Zhao Wang, Rong‐Hui Chen, Hai‐Long Li, Wan‐Ting Chen, Yu‐Ning Deng, Hui‐Juan Zhang, Yu Wang, Xuan‐Ye Zhang, Wei‐Juan Huang, Xiao‐Peng Tian   +11 more
wiley   +1 more source

Predictive Models for Motor Outcomes From Deep Brain Stimulation in Parkinson's Disease: A Systematic Review

European Journal of Neuroscience, Volume 64, Issue 3, August 2026.
Our systematic search uncovered 19 studies creating predictive models of motor outcomes from deep brain stimulation for Parkinson's disease. We review prediction accuracy and replicability and discuss candidate input data and the presentation of predictions.
Maya Wilde, Dimitra Kiakou, Eduard Bakstein, Pavel Filip, Daniel Novak   +4 more
wiley   +1 more source

Integrating preliminary test and Stein-type techniques to improve estimation in the time-dependent Cox model. [PDF]

PLoS One
Ramezani R, Rabiei MR, Arashi M.
europepmc   +1 more source

Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data. [PDF]

Sci Rep
Kumar PR, Ibidoja OJ, Ali MKM, Ishak WRW.   +3 more
europepmc   +1 more source