Results 131 to 140 of about 953 (204)

Autonomy for MRI Field Cameras: Synchronization, Self‐Calibration, and Sequence Detection

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 485-498, July 2026.
ABSTRACT Purpose This work aims to provide a workflow for operating NMR field probes in MR scanners independently of pulse programming, scanner TTL trigger pulses and dedicated calibration sequences. Methods An independent timing system and limited prior knowledge about relative probe positions enable synchronous field measurement, probe position ...
Oskar Björkqvist, Klaas P. Pruessmann
wiley   +1 more source

Fast and Fourier features for transfer learning of interatomic potentials. [PDF]

NPJ Comput Mater
Novelli P, Meanti G, Buigues PJ, Rosasco L, Parrinello M, Pontil M, Bonati L.   +6 more
europepmc   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani, Hellen Amimo Otieno, Mishanil Kazreen, Stavros Shiaeles   +3 more
wiley   +1 more source

Copper Nanocrystallization in Anodic Oxide Films of Ti–Cu‐Based Bulk Metallic Glass and Its Effect on the Corrosion Resistance and Cytocompatibility

Advanced Engineering Materials, Volume 28, Issue 11, 3 June 2026.
Viktoriia Shtefan, Thorgund Nemec, Ute Hempel, Annett Gebert and coworkers demonstrate that anodic treatment of Ti–Cu‐based metallic glass in a nontoxic pyrophosphate electrolyte forms a protective bilayered Ti/Zr‐oxide film enriched with Cu nanocrystals.
Viktoriia Shtefan, Nora Fernández Navas, Thorgund Nemec, Ivan Kaban, Ute Hempel, Andrea Voss, Volker Hoffmann, Darius Pohl, Annett Gebert   +8 more
wiley   +1 more source

A Dynamic Virtual Channel Approach to Enhance Retinal Prosthetic Precision. [PDF]

Biomimetics (Basel)
Liu Z, Guo T, He Y, Zheng S, Song X, Dai C, Li J, Chai X, Chen Y, Li L.   +9 more
europepmc   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

Legendre polynomial transformation and energy-weighted random forests for sequential data classification. [PDF]

Sci Rep
Olaniran OR, Alghamdi FM, Alharbi NM, Abd-Elmougod GA, Alzubaidi S, Muse AH.   +5 more
europepmc   +1 more source

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

Advanced Physics Research, Volume 5, Issue 6, June 2026.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab, Houssam Eddine Hailouf, Kingsley Onyebuchi Obodo, Mireille Megnidio‐Tchoukouegno, Mohammed Benali Kanoun, Souraya Goumri‐Said   +5 more
wiley   +1 more source

Visual information is broadcast among cortical areas in discrete channels. [PDF]

Elife
Yu Y, Stirman JN, Dorsett CR, Smith SL.
europepmc   +1 more source

Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity

Biometrical Journal, Volume 68, Issue 3, June 2026.
ABSTRACT We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model‐ and design‐based simulations, with the latter using undersmoothed highly adaptive lasso on the “WASH Benefits Bangladesh” data set to ...
Christoph Wiederkehr, Christian Heumann, Michael Schomaker   +2 more
wiley   +1 more source