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Showing 81 - 100 of 2,766

81

SkeltyMLOps: Orchestrating Collaborative MLOps Activities
Daoud, Charbel ; Azar, Danielle ; Boiché, Julie ; et al.
MLOps25 - Workshop on Machine Learning Operations / the 1st ECAI Workshop on MLOps. :55-66

Bologna, Italy Software Engineering Machine Learning Operati... MLOps Actors MLOps Activities MLOps Reference Architec...
Conference
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82

A Machine Learning Based Monitoring Framework for Side-Channel Information Leaks
Michael Lescisin ; Qusay H. Mahmoud
IEEE Open Journal of the Computer Society, Vol 2, Pp 139-151 (2021)

Data mining devops machine learning security side-channel software quality
Academic journal
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83

Development of a Smart Career Path System for Recommending Entrepreneurship Types Using a Mobile-First Approach.
Yulastri, Asmar ; Ganefri, Ganefri ; Ferdian, Feri ; et al.
TEM Journal. Aug2025, Vol. 14 Issue 3, p2226-2233. 8p.

Entrepreneurship Vocational guidance User-centered system des... Machine learning Computer software develo... College students
Academic journal
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84

Extending reference architecture of big data systems towards machine learning in edge computing environments
P. Pääkkönen ; D. Pakkala
Journal of Big Data, Vol 7, Iss 1, Pp 1-29 (2020)

Neural networks ArchiMate Edge computing DevOps Inference Machine learning
Academic journal
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85

A mixed method study of DevOps challenges
Tanzil, Minaoar Hossain ; Sarker, Masud ; Uddin, Gias ; et al.
In Information and Software Technology September 2023 161

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86

Learning DevOps: Continuously Deliver Better Software
Verona, Joakim ; Duffy, Michael ; Swartout, Paul ; et al.

Electronic Resource
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87

Unifying DevOps and MLOps Pipelines Via AI-driven Observability: A Mixed-Methods Study
Singh, Satbir ; Computer Engineering Department, Army Institute of Technology, Pune University, India.
Asian Journal of Research in Computer Science. 18(6):334-342

[INFO]Computer Science [...
Journal
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88

Framework for automatic detection of anomalies in DevOps.
Hany Fawzy, Ahmed ; Wassif, Khaled ; Moussa, Hanan
Journal of King Saud University - Computer & Information Sciences. Mar2023, Vol. 35 Issue 3, p8-19. 12p.

Anomaly detection (Compu... Systems availability Artificial intelligence Standard deviations Machine learning
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89

From DevOps to MLOps: Overview and Application to Electricity Market Forecasting
Rakshith Subramanya ; Seppo Sierla ; Valeriy Vyatkin
Applied Sciences, Vol 12, Iss 19, p 9851 (2022)

continuous software engi... DevOps electricity market Machine Learning MLOps time-series analysis
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90

Learning DevOps: Continuously Deliver Better Software
Duffy, Michael ; Duffy, Michael ; Swartout, Paul ; et al.

Electronic Resource
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91

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92

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93

Disruptive Trends in Automation Technology
Sierla, Seppo ; Hästbacka, David ; Zenger, Kai

CNN architecture normalization techniques intelligent fault diagno... vibration continuous software engi... DevOps
eBook
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94

Evaluating the layout quality of UML class diagrams using machine learning
Bergström, Gustav ; Hujainah, Fadhl ; Ho-Quang, Truong ; et al.
In The Journal of Systems & Software October 2022 192

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95

Enhancing Educational Efficiency: Generative AI Chatbots and DevOps in Education 4.0
Mekić, Edis ; Jovanović, Mihailo ; Kuk, Kristijan ; et al.

Computer Science - Compu... Computer Science - Artif... Computer Science - Softw...
Report
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96

Cloud Computing and Distance Learning in Computer Science
Pedro Ramos Brandao
International Journal of Research in E-Learning, Vol 6, Iss 2 (2020)

Cloud Computing Azure distance learning WEB App Virtual Labs DevOps.
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97

A Data Analysis platform for high altitude bio monitoring using DEVOPS principles and time series machine learning
Felix Constantin Adochiei ; Radu Ciucu ; Ioana Raluca Adochiei ; et al.
A/Professor Akbar A. Khatibi, Journal of Advances in Technology and Engineering Research. 5(1):18-24

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98

Business process improvement with AB testing and reinforcement learning: grounded theory-based industry perspectives
Kurz, Aaron Friedrich ; Kampik, Timotheus ; Pufahl, Luise ; et al.
Software and Systems Modeling. :1-23

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99

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100

AI-Powered Quality Assurance: Revolutionizing Automation Frameworks for Cloud Applications
Parameshwar Reddy Kothamali
Journal of Advanced Computing Systems, Vol 5, Iss 3 (2025)

Machine Learning Testing Intelligent Test Automat... Cloud Application Reliab... AI-Driven DevOps Predictive Defect Analys... Technology (General)
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