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
A hierarchical neuromorphic multi agent framework for energy aware and secure 6G resource optimization using Neuro6G agent. [PDF]
Al Nuaim A, Qayyum J.
europepmc +1 more source
Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez +3 more
wiley +1 more source
Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions
Reza Farahani, Radu Prodan
openaire +1 more source
Sensor Driven Resource Optimization Framework for Intelligent Fog Enabled IoHT Systems. [PDF]
Khan S +5 more
europepmc +1 more source
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
AI-Driven Hybrid Detection and Classification Framework for Secure Sleep Health IoT Networks. [PDF]
Valsalan P, Siddiqui MM.
europepmc +1 more source
MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa +2 more
wiley +1 more source
Integrated Sensing and Communication for 6G V2X Networks: A Comprehensive Survey of Architectures, Security, and Multi-Modal AI. [PDF]
Şen F, Basgumus A, Namdar M.
europepmc +1 more source

