Results 121 to 130 of about 25,104 (288)

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Reservoir Computing‐Based Glucose Sensing With an Enzymatic Reaction Network

Angewandte Chemie, EarlyView.
Glucose oxidase (GOx) catalyzes the conversion of glucose into gluconic acid, lowering the solution pH. The extent of pH change depends on the glucose input and directly modulates the activity of the enzyme reservoir. Glucose levels can be sensed by monitoring the changes in the enzymatic reservoir output, that is, the generation of peptide fragments ...
Souvik Ghosh, Anna C. Knox, Bin Li, Wilhelm T. S. Huck   +3 more
wiley   +2 more sources

Improved robust ridge regression estimates

Eastern-European Journal of Enterprise Technologies, 2015
У множинній лінійній регресії, коли провісники сильно корельовані, оцінки найменших квадратів (LSE), як правило, дають неточні прогнози. Гребенева регресія, яка грунтується на мінімізації квадратичної функції втрат, чутлива до викидів. Розглянуто дві гладко знижені ψ-функції, засновані на принципі Вінзора, які призводять до асимптотично ефективних ...
openaire   +4 more sources

Modified two parameter ridge estimator for beta regression model

Journal of Radiation Research and Applied Sciences
A beta regression model (BRM) typically occurs when your data involves proportions or continuous response variables that are bounded between 0 and 1, and the distributional assumptions and functional forms of a GLM with a standard error distribution (e.g.
Ayesha Junaid, Aamna Khan, Amani Alrumayh, Fatimah M. Alghamdi, Eslam Hussam, Hassan M. Aljohani, Afaf Alrashidi   +6 more
doaj   +1 more source

The Augmented Synthetic Control Method

, 2020
The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit in panel data settings. The "synthetic control" is a weighted average of control units that balances the treated unit's pre-treatment ...
Ben-Michael, Eli, Feller, Avi, Rothstein, Jesse   +2 more
core  

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction

Advanced Intelligent Systems, EarlyView.
This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin, Ren Cao, Zhongxue Gan, Siyang Leng   +3 more
wiley   +1 more source

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

Bayesian Analyses of Ridge Regression Prooblems

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
   A Bayesian formulation of the ridge regression problem is considerd, which derives from a direct specification of prior informations about parameters of general linear regression model when data suffer from a high degree of multicollinearity.A new ...
H. M. Gorgees
doaj