Results 201 to 210 of about 14,997,530 (270)

Deep Learning‐Based Automated Bowel Wall Thickness Measurement in Intestinal Ultrasound for Inflammatory Bowel Disease

JCC Plus, Volume 1, Issue 5, September 2026.
ABSTRACT Background and Aims Intestinal ultrasound (IUS) is used to monitor inflammatory bowel disease (IBD), but bowel wall thickness (BWT) measurements are operator dependent and hard to standardize. The aim was to develop a system for identifying the bowel wall and measuring BWT, while accounting for interobserver disagreement.
Jakob Hestbjerg Karrer, Jonatan Ruiz‐Molsgaard, Bjørn Leth Møller, Johan Burisch, Gorm Roager Madsen, Klaus Theede, Johan Fremberg Ilvemark, Bobby Zhao Sheng Lo, Bulat Ibragimov, Trine Boysen   +9 more
wiley   +1 more source

SRAF-ID: A Sensor-Reliability-Aware Framework for Robust Traffic Speed Forecasting Under Missing and Faulty Sensor Observations. [PDF]

Sensors (Basel)
Lu P, Wu D, Lan S, Guo B, Li Z.
europepmc   +1 more source

Estimating Hierarchical Demand in Retail Operations

Journal of Operations Management, Volume 72, Issue 6, Page 831-850, September 2026.
ABSTRACT A hierarchical structure over product attributes is a central input to many product assortment and inventory optimization models, yet no existing method can recover such structures from the aggregate sales data that retailers routinely collect.
Blair Flicker, Olga Perdikaki, Mark Ferguson, Su‐Ming Wu   +3 more
wiley   +1 more source

Bayesian Bidirectional Mendelian Randomization Under Correlated and Uncorrelated Pleiotropy Using GWAS Summary Statistics. [PDF]

Stat Med
Chen S.
europepmc   +1 more source

AI‐Accelerated Design and Modeling of Organic Electrochemical Energy Materials: From Redox‐Active Molecules to Polymer Electrolytes

Macromolecular Materials and Engineering, Volume 311, Issue 9, September 2026.
AI is reshaping the design and modeling of organic electrochemical energy materials, from redox‐active molecules to polymer electrolytes. Progress across data‐driven prediction, machine‐learning interatomic potentials, generative models, and agentic workflows is assessed, while persistent challenges in data quality, polymer representation, validation ...
Zhan‐Yun Zhang, Giannis Savvas, Jichen Li, Yue Zhou, Thanh Trung Le, Daniel Brandell, Rocío Mercado, Chao Zhang   +7 more
wiley   +1 more source

Inside Cover

The Oracle Vice President
core   +4 more sources

Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]

Quantum Mach Intell
Lim D, Doriguello JF, Rebentrost P.
europepmc   +1 more source

Physics‐Guided Neural Network for Quantitative Parameter Mapping Using Balanced Steady State Free Precession MRI

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1313-1322, September 2026.
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1, T2,Meffc, ∆f and φRF ...
Hye‐Ryeong Choi, Huan Minh Luu, Sung‐Hong Park   +2 more
wiley   +1 more source

ReFIT: Federated Transfer Learning for Sequential Prediction and Uncertainty Quantification Using Streaming EHR Data. [PDF]

Stat Biosci
Lu Y, Luo L, Gu T.
europepmc   +1 more source

Compile‐Once Block Encodings for Masked Similarity‐Transformed Effective Hamiltonians

Advanced Quantum Technologies, Volume 9, Issue 9, September 2026.
Composer transforms structured electronic‐structure operators into a reusable quantum‐circuit fabric. Once compiled, the same block‐encoding architecture is re‐dialed through coefficients, rotation angles, and masks to generate similarity‐transformed effective Hamiltonians across related problem instances, avoiding repeated structural recompilation ...
Bo Peng, Yuan Liu, Karol Kowalski
wiley   +1 more source