Results 101 to 110 of about 17,281 (206)

THE IMPACT OF DEVOPS PRACTICES ON IMPROVING TEAMWORK EFFICIENCY IN AN EDUCATIONAL ENVIRONMENT

Неперервна професійна освіта: теорія та практика
This article examines how DevOps practices can improve teamwork efficiency in higher education institutions. The study aims to demonstrate the pedagogical potential of DevOps in developing students' teamwork, communication, and project management skills ...
Mykhailo Luchkevych
doaj   +1 more source

DevOps Finetuning [PDF]

, 2016
Aruna Ravichandran, Kieran Taylor, Peter Waterhouse   +2 more
openaire   +1 more source

A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications. [PDF]

Sensors (Basel), 2023
Mcmurray S, Sodhro AH.
europepmc   +1 more source

Special Issue on New Paradigms of Software Production and Deployment. [PDF]

SN Comput Sci, 2022
Capozucca A, Bruel JM, Mazzara M, Meyer B.   +3 more
europepmc   +1 more source

People process technology and operations framework for establishing AI governance in healthcare organizations. [PDF]

NPJ Digit Med
Kim JY, Hasan A, Balu S, Sendak M.
europepmc   +1 more source

Software Product System Model: A Customer-Value Oriented, Adaptable, DevOps-Based Product Model. [PDF]

SN Comput Sci, 2022
Altunel H, Say B.
europepmc   +1 more source

SecMLOps: A comprehensive framework for integrating security throughout the machine learning operations lifecycle. [PDF]

Empir Softw Eng
Zhang X, Zhao P, Jaskolka J, Li H, Lu R.
europepmc   +1 more source

Data workflows and visualization in support of surveillance practice. [PDF]

Front Vet Sci, 2023
Gustafsson W, Dórea FC, Widgren S, Frössling J, Vidal G, Kim H, Cha W, Comin A, Rodriguez Ewerlöf I, Rosendal T.   +9 more
europepmc   +1 more source

PASTA-4-PHT: a pipeline for automated security and technical audits for the personal health train. [PDF]

BMC Med Inform Decis Mak
Welten S, Kindermann K, Polat A, Görz M, Jugl M, Neumann L, Neumann A, Lohmöller J, Pennekamp J, Decker S.   +9 more
europepmc   +1 more source

Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features. [PDF]

J Am Med Inform Assoc
Nateghi Haredasht F, Lopez I, Tate S, Ashtari P, Chan MM, Kulkarni D, Chen CA, Vangala M, Griffith K, Bunning B, Miner AS, Hernandez-Boussard T, Humphreys K, Lembke A, Vance LA, Chen JH.   +15 more
europepmc   +1 more source