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 +3 more
wiley +1 more source
A robust deep learning approach for rock discontinuity identification from large scale 3D point clouds. [PDF]
Sci RepSun J +8 more
europepmc +1 more source
Construction of a Feedback Comment Analysis Model for Evaluation of Endoscopic Surgical Skill
Annals of Gastroenterological Surgery, EarlyView.ABSTRACT Background Surgical education and skill assessments are important in improving surgical skills. However, instructors' comments tend to be complex and unorganized, with varying content and categories. This study aimed to develop a natural language processing (NLP) model to automatically classify feedback comments on surgical procedures and ...
Shusaku Iwai +7 more
wiley +1 more source
mcRigor: A Statistical Software Package for Evaluating and Optimizing Metacell Partitioning in Single-Cell Data Analysis. [PDF]
J Comput BiolLiu P, Li JJ.
europepmc +1 more source
AIChE Journal, EarlyView.ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana +3 more
wiley +1 more source
HED-ID: an edge-deployable and explainable intrusion detection system optimized via metaheuristic learning. [PDF]
Sci RepNasir K +7 more
europepmc +1 more source
A multiscale Bayesian optimization framework for process and material codesign
AIChE Journal, EarlyView.Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley +1 more source
Dual-phase optimized deep learning framework for accurate, efficient, and robust battery SoC estimation. [PDF]
Sci RepR S, Mani G.
europepmc +1 more source
AIChE Journal, EarlyView.Abstract This work presents the optimization of cell cultivation for monoclonal antibody (mAb) production. We developed a hybrid model describing the effects of multiple process variables on antibody productivity and impurity generation. An automated platform with 12 × 250 mL bioreactors was set up.
Kosuke Nemoto +6 more
wiley +1 more source
Insights into long-acting reversible contraceptive practices in Sub-Saharan Africa: A machine learning perspective. [PDF]
PLoS OneMengistu AK +6 more
europepmc +1 more source