Results 211 to 220 of about 224,871 (275)
Constrained inference in sparse coding reproduces contextual effects and predicts laminar neural dynamics. [PDF]
Capparelli F, Pawelzik K, Ernst U.
europepmc +1 more source
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 +2 more
wiley +1 more source
Unpacking the Farmland Capitalization Effect of Ethanol Establishment
ABSTRACT We unpack the impact of expansions in ethanol production—as measured by proximity to newly constructed ethanol plants and capacity expansions—on farmland values using land transaction data from Kansas in combination with modern causal inference techniques.
Gabriel S. Sampson, Jisang Yu
wiley +1 more source
Visual Tracking Using Sparse Coding and Earth Mover's Distance. [PDF]
Yao G, Dani A.
europepmc +1 more source
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 +3 more
wiley +1 more source
Prediction of Apoptosis Protein Subcellular Localization with Multilayer Sparse Coding and Oversampling Approach. [PDF]
Chen X, Hu X, Yi W, Zou X, Xue W.
europepmc +1 more source
ABSTRACT In May 2020, China abruptly suspended imports from several major Australian beef processors, escalating a diplomatic dispute between the two countries. This trade measure disrupted one of the largest beef export relationships in the world almost overnight.
K. Aleks Schaefer, Youngjune Kim
wiley +1 more source
Toward a unified theory of efficient, predictive, and sparse coding. [PDF]
Chalk M, Marre O, Tkačik G.
europepmc +1 more source
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Sparse coding of pathology slides compared to transfer learning with deep neural networks. [PDF]
Fischer W +4 more
europepmc +1 more source

