Results 61 to 70 of about 3,857,221 (388)
Towards Digital Twins for the Description of Automotive Software Systems [PDF]
EPTCS 312, 2020, pp. 20-28, 2020 We present models for automotive software that capture quantitative and qualitative aspects of software systems and the underlying hardware architecture. In particular, we consider different levels of computing power. These range from controllers up to the cloud.
arxiv +1 more source
BEAST 2: A Software Platform for Bayesian Evolutionary Analysis
PLoS Comput. Biol., 2014 We present a new open source, extensible and flexible software platform for Bayesian evolutionary analysis called BEAST 2. This software platform is a re-design of the popular BEAST 1 platform to correct structural deficiencies that became evident as the
R. Bouckaert +8 more
semanticscholar +1 more source
Сучасний стан наукових досліджень та технологій в промисловості, 2021 The article is devoted to the development and substantiation of practical recommendations regarding the formation of a mechanism for deploying a software environment for creating and executing microservices in a rapidly changing technological stack.
Денис Олексійович Золотарьов
doaj +1 more source
Molecular Oncology, EarlyView.Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran +16 more
wiley +1 more source
Static Analysis Deployment Pitfalls [PDF]
Supplemental Proceedings of the 21st IEEE International Symposium
on Software Reliability Engineering, November 2010, 2022 Organizational, political, and configuration mistakes in the deployment of a static source code analysis tool within a software development organization can result in most of the value of the tool being lost, even while apparently meeting management goals.
arxiv
Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
Exploring sustainable alternatives for the deployment of microservices architectures in the cloud [PDF]
International Conference on Software Architecture 2024As organizations increasingly migrate their applications to the cloud, the optimization of microservices architectures becomes imperative for achieving sustainability goals. Nonetheless, sustainable deployments may increase costs and deteriorate performance, thus the identification of optimal tradeoffs among these conflicting requirements is a key ...
arxiv +1 more source
What Practitioners Really Think About Continuous Software Engineering: A Taxonomy of Challenges [PDF]
arXiv, 2023 The Continuous software engineering is a collaborative software development environment which offers the continues development and deployment of quality software project within short time. The Continuous software engineering practices are not yet mature enough, and the software organizations hesitate to adopt it.
arxiv
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source
A Comprehensive Study on Challenges in Deploying Deep Learning Based Software [PDF]
arXiv, 2020 Deep learning (DL) becomes increasingly pervasive, being used in a wide range of software applications. These software applications, named as DL based software (in short as DL software), integrate DL models trained using a large data corpus with DL programs written based on DL frameworks such as TensorFlow and Keras.
arxiv