Results 181 to 190 of about 34,185 (288)

Bayesian Elastic Net Cox Models for Time-to-Event Prediction: Application to a Breast Cancer Cohort. [PDF]

Entropy (Basel)
Yılmaz E, Ahmed SE, Aydın D.
europepmc   +1 more source

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

Robust learning for ridge-penalized quasi-GLMs under non-identical distributions. [PDF]

Sci Rep
Zhang H, Tian W, Yao Q, Wang P, Zhang B.
europepmc   +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

Robust estimation methods for addressing multicollinearity and outliers in beta regression models. [PDF]

Sci Rep
Olaluwoye OT, Lukman AF, Alrasheedi MA, Nzomo WN, Farghali RA.   +4 more
europepmc   +1 more source

High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State

American Journal of Botany, EarlyView.
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording, Erik W. Ertsgaard, David E. Giblin, Iris H. Dimpsey, Owen B. Bard   +4 more
wiley   +1 more source

Smooth and shape-constrained quantile distributed lag models. [PDF]

Biometrics
Jin Y, Molstad AJ, Wilson A, Antonelli J.   +3 more
europepmc   +1 more source

Real‐World Evaluation of Talquetamab for the Treatment of Relapsed/Refractory Multiple Myeloma (RRMM): An International Myeloma Working Group Immunotherapy Registry Real‐World Analysis

American Journal of Hematology, EarlyView.
ABSTRACT Talquetamab is a GPRC5D × CD3 bispecific antibody approved for relapsed/refractory multiple myeloma (RRMM). This is the first real‐world study to comprehensively report muco‐cutaneous toxicities, infections, and efficacy of talquetamab in 151 patients across five countries with the longest follow‐up reported enabling better efficacy and ...
Murali Janakiram, Carlyn R. Tan, Hira Mian, Chiung‐Yu Huang, Rakesh Popat, Joaquín Martínez‐Lopez, Efsthathios Kastritis, Wee‐Joo Chng, Prashant Kapoor, Mrugakshi Dave, Susan Bal, Laurent Garderet, Andre De Menezes Silva Corraes, Christine Riedhammer, Torsten Steinbrunn, Magdalene Corona, Chandramouli Nagarajan, Hermann Einsele, Tom Martin, Amrita Krishnan, Yi Lin, Nadine Abdullah, Niels Abildgaard, Ingerid Abrahamsen, Melissa Alsina, Kenneth Anderson, Hervé Avet‐Loiseau, Ashraf Badros, Nizar Jacques Bahlis, Susan Bal, Rahul Banerjee, Dina Ben‐Yehuda, Jesús G. Berdeja, Michele Cavo, Ajai Chari, Wen‐Ming Chen, Marta Chesi, Wee‐Joo Chng, Yael Cohen, Adam Cohen, Gordon Cook, Luciano Costa, Andrew Cowan, Carlos Fernández de Larrea, Benjamin Derman, Juan Du, Hermann Einsele, Gösta Gahrton, Francesca Gay, Sergio A. Giralt, Simon Harrison, J Jean‐Luc Harousseau, Joy Ho, Doris Hansen, Maung Myo Htut, Andrzej J. Jakubowiak, Murali Janakiram, Prashant Kapoor, Efstathios Kastritis, Jonathan Kaufman, Kihyun Kim, Amrita Krishnan, Shaji Kumar, Chara Kyriakou, Xavier Leleu, Yi Lin, Sagar Lonial, Matthew frigault, Johan L. Lund, Elias Mai, Angelo Maiolino, Elias Mai, Angelo Maiolino, Sireesha Asoori Maringanti, Thomas Martin, Joaquin Martinez‐Lopez, María‐Victoria Mateos, Giampaolo Merlini, Hira Mian, Joseph Mikhael, Monique Minnema, Philippe Moreau, Gareth Morgan, Nikhil Munshi, Omar Nadeem, Chandramouli Nagarajan, Ajay Nooka, Michael O'Dwyer, Rimke Oostvogel, Alberto Orfao, Paula Rodriguez Otero, Darren Pan, Krina Patel, Rashesh Popat, Noemí Puig   +94 more
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