Results 51 to 60 of about 140,941 (262)

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

open access: yesAgribusiness, 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 Multi‐instrument Recognition and Autonomous Tracking Control Method for Robot‐Assisted Endoscopic Adjustment

open access: yesAdvanced Intelligent Systems, EarlyView.
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang   +5 more
wiley   +1 more source

Automated Debugging Mechanisms for Orchestrated Cloud Infrastructures With Active Control and Global Evaluation

open access: yesIEEE Access
Orchestration methods at Infrastructure-as-a-Service (IaaS) level automate the deployment, scaling, and management of virtualized resources, typically across multiple hosts and data centres.
Jozsef Kovacs   +2 more
doaj   +1 more source

A Tool Support for Model-Driven Development: An Industrial Case Study from a Measurement Domain

open access: yesApplied Sciences, 2019
End-user programming may utilize Domain-Specific Modeling Languages (DSMLs) to develop applications in the form of models, using only abstractions found in a specific problem domain.
Tomaž Kos, Marjan Mernik, Tomaž Kosar
doaj   +1 more source

Debugging Memory Issues In Embedded Linux: A Case Study

open access: yes, 2012
Debugging denotes the process of detecting root causes of unexpected observable behaviors in programs, such as a program crash, an unexpected output value being produced or an assertion violation. Debugging of program errors is a difficult task and often
Banerjee, Ansuman, Ray, Partha Pratim
core   +1 more source

A systematic review of second language (L2) student writers' metacognitive experiences

open access: yesBritish Educational Research Journal, EarlyView.
Abstract This systematic review synthesises empirical evidence on second language (L2) student writers' metacognitive experiences (MEs) across different classroom‐based L2 learning contexts in peer‐reviewed academic journals. A comprehensive search of six databases (Scopus, APA PsycINFO, British Education Index, ERIC subscription, Education Source and ...
Zhe Li   +3 more
wiley   +1 more source

How Do Elementary Students Apply Debugging Strategies in a Block-Based Programming Environment?

open access: yesEducation Sciences
Debugging is a growing topic in K-12 computer science (CS) education research. Although some previous studies have examined debugging behaviors, only a few have focused on an in-depth analysis of elementary students’ debugging behaviors in block-based ...
Wei Yan   +4 more
doaj   +1 more source

Experimental study on dynamic behavior analysis of coal and its acoustic emission response characteristics under impact failure

open access: yesDeep Underground Science and Engineering, EarlyView.
Based on acoustic emission response characteristics, it can be more accurate to identify the damage evolution process of coal under the combined dynamic and static loads, reveal the moment corresponding to coal damage, and identify the characteristics of coal failure. The research results are conducive to the further use of acoustic emission monitoring
Wei Zhang   +10 more
wiley   +1 more source

Enhancing Novice Programmers’ Debugging Skills Through Systematic Education: A Comparative Study

open access: yesIEEE Access
In the field of software development, debugging is a crucial yet challenging skill, particularly for novice programmers. This study evaluates the efficacy of systematic debugging education in enhancing students’ debugging skills through two ...
Basma S. Alqadi
doaj   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

open access: yesDeep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao   +5 more
wiley   +1 more source

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