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NanoPack2: population-scale evaluation of long-read sequencing data
Increases in the cohort size in long-read sequencing projects necessitate more efficient
software for quality assessment and processing of sequencing data from Oxford Nanopore …
software for quality assessment and processing of sequencing data from Oxford Nanopore …
Ranking programming languages by energy efficiency
This paper compares a large set of programming languages regarding their efficiency,
including from an energetic point-of-view. Indeed, we seek to establish and analyze different …
including from an energetic point-of-view. Indeed, we seek to establish and analyze different …
Language models for code optimization: Survey, challenges and future directions
Language models (LMs) built upon deep neural networks (DNNs) have recently
demonstrated breakthrough effectiveness in software engineering tasks like code …
demonstrated breakthrough effectiveness in software engineering tasks like code …
[HTML][HTML] Development and evaluation of a reference measurement model for assessing the resource and energy efficiency of software products and components …
In the past decade, research on measuring and assessing the environmental impact of
software has gained significant momentum in science and industry. However, due to the …
software has gained significant momentum in science and industry. However, due to the …
Improving microservice-based applications with runtime placement adaptation
Microservices are a popular method to design scalable cloud-based applications.
Microservice-based applications (μ Apps) rely on message passing for communication and …
Microservice-based applications (μ Apps) rely on message passing for communication and …
Webassembly versus javascript: Energy and runtime performance
The worldwide Web has dramatically evolved in recent years. Web pages are dynamic,
expressed by programs written in common programming languages given rise to …
expressed by programs written in common programming languages given rise to …
Studying the impact of tensorflow and pytorch bindings on machine learning software quality
Bindings for machine learning frameworks (such as TensorFlow and PyTorch) allow
developers to integrate a framework's functionality using a programming language different …
developers to integrate a framework's functionality using a programming language different …
Evaluation of the impact of the sustainable development goals on an activity recognition platform for healthcare systems
The Sustainable Development Goals (SDGs), also known as the Global Goals, were
adopted by the United Nations in 2015 as a universal call to end poverty, protect the planet …
adopted by the United Nations in 2015 as a universal call to end poverty, protect the planet …
Programming languages ranking based on energy measurements
Software is developed using programming languages whose choice is made based on a
wide range of criteria, but it should be noted that the programming language selected can …
wide range of criteria, but it should be noted that the programming language selected can …
Class-specific feature selection via maximal dynamic correlation change and minimal redundancy
XA Ma, H Xu, C Ju - Expert Systems with Applications, 2023 - Elsevier
Abstract Information theory has been widely used to evaluate the relevance and redundancy
of features in feature selection. The traditional feature selection methods based on …
of features in feature selection. The traditional feature selection methods based on …