Results 191 to 200 of about 261,541 (246)

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

Self-assembled cell-scale containers made from DNA origami membranes. [PDF]

Nat Mater
Karfusehr C, Eder M, Yang HY, Beinsteiner B, Jasnin M, Simmel FC.   +5 more
europepmc   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

AIChE Journal, Volume 72, Issue 10, October 2026.
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin, Artur M. Schweidtmann   +1 more
wiley   +1 more source

Suppressing torsional buckling in auxetic meta-shells. [PDF]

Nat Commun
Ghorbani A, Mirzaali MJ, Roebroek T, Coulais C, Bonn D, van der Linden E, Habibi M.   +6 more
europepmc   +1 more source

Deceptive Overgeneralization: When Adaptive Learning Enables Systematic Misapplication

Journal of Computer Assisted Learning, Volume 42, Issue 5, October 2026.
ABSTRACT Background Adaptive learning systems infer mastery from observed correctness, but this approach may fall short when learners exhibit ‘deceptive overgeneralization’—performing correct actions based on incomplete understanding. This phenomenon can mislead systems into prematurely stopping practice, leaving knowledge gaps unaddressed.
Marshall An, Bruce M. McLaren, John Stamper   +2 more
wiley   +1 more source

Enabling global-scale nucleic acid repositories through versatile, scalable biochemical selection from room-temperature archives. [PDF]

Nat Commun
Berleant JD, Banal JL, Rao DK, Bathe M.
europepmc   +1 more source

Automatic Crater Classification Using a Deep‐Learning‐Based Pipeline

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Identifying and classifying impact craters on Mars is crucial for understanding the planet's geological history and surface evolution. Traditional crater classification relies on manual annotation methods, which are often limited by human biases and the difficulty of interpreting geomorphological features.
L. Martinez, F. Andrieu, F. Schmidt, M. S. Bentley   +3 more
wiley   +1 more source

One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley

Archaeometry, Volume 68, Issue 5, Page 1110-1122, October 2026.
ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail, Morgan Denyer, Rachel Denyer, Howell Edwards   +3 more
wiley   +1 more source

Hybrid Coupling With Operator Inference and the Overlapping Schwarz Alternating Method

International Journal for Numerical Methods in Engineering, Volume 127, Issue 17, 15 September 2026.
ABSTRACT This paper presents a hybrid approach for coupling subdomain‐local, nonintrusive Operator Inference (OpInf) reduced order models (ROMs) with each other and with subdomain‐local, high‐fidelity full order models (FOMs) using the overlapping Schwarz alternating method (O‐SAM).
Irina Tezaur, Eric Parish, Anthony Gruber, Ian Moore, Christopher Wentland, Alejandro Mota   +5 more
wiley   +1 more source