Results 161 to 170 of about 103,110 (286)

Speckle-driven single-shot orbital angular momentum recognition with ultra-low sampling density. [PDF]

Nat Commun
Wang Z, Li H, Zhong T, Zhao Q, R V V, Li H, Yu Z, Pu J, Chen Z, Yuan X, Lai P.   +10 more
europepmc   +1 more source

Sparse Arrays in scipy.sparse

The shift from sparse matrices to sparse arrays in SciPy. What's coming, migration and API decisions.
openaire   +1 more source

Do Tax Incentives for Farmland Leases Increase Farm Supply? Evidence From Iowa's Beginning Farmer Tax Credit

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT In recent decades, agriculture has become increasingly concentrated through horizontal mergers and acquisitions via corporate entities, and policy makers are concerned this will be exacerbated by the aging population of farm operators. To reduce market concentration in agriculture, many states have enacted policies to entice new prospective ...
Justin M. Ross, Wesley M. Zebrowski, Julia C. D. Valliant   +2 more
wiley   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

SlingBAG: point cloud-based iterative algorithm for large-scale 3D photoacoustic imaging. [PDF]

Nat Commun
Li S, Wang Y, Gao J, Kim C, Choi S, Zhang Y, Chen Q, Yao Y, Li C.   +8 more
europepmc   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

AIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon   +4 more
wiley   +1 more source

Real-Time 3D Ultrasound Imaging with an Ultra-Sparse, Low Power Architecture. [PDF]

Adv Healthc Mater
Marcus C, Nayeem MOG, Shah A, Hou J, Viswanath S, Eusebio M, Sadat D, Chandrakasan AP, Ozmen T, Dagdeviren C.   +9 more
europepmc   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Demonstration of the Use of NSGA-II for Optimization of Sparse Acoustic Arrays. [PDF]

Sensors (Basel)
Petrin CE, Wilson TC, Alexander AS, Elbing BR.   +3 more
europepmc   +1 more source