Results 11 to 20 of about 94,520 (261)
AxP: A HW-SW Co-Design Pipeline for Energy-Efficient Approximated ConvNets via Associative Matching
Applied Sciences, 2021 The reduction in energy consumption is key for deep neural networks (DNNs) to ensure usability and reliability, whether they are deployed on low-power end-nodes with limited resources or high-performance platforms that serve large pools of users ...
Luca Mocerino, Andrea Calimera
doaj +1 more source
Reconfigurable Architecture and Dataflow for Memory Traffic Minimization of CNNs Computation
Micromachines, 2021 Computation of convolutional neural network (CNN) requires a significant amount of memory access, which leads to lots of energy consumption. As the increase of neural network scale, this phenomenon is further obvious, the energy consumption of memory ...
Wei-Kai Cheng +4 more
doaj +1 more source
Communications of the ACM, 2017 Existing approaches to ensuring the validity of inferences drawn from data assume a fixed procedure to be performed, selected before the data are examined. Yet the practice of data analysis is an intrinsically interactive and adaptive process: new analyses and hypotheses are proposed after seeing the results of previous ones, parameters are tuned on ...
Cynthia Dwork +5 more
openaire +1 more source
Deep Impact: A Study on the Impact of Data Papers and Datasets in the Humanities and Social Sciences
Publications, 2022 The humanities and social sciences (HSS) have recently witnessed an exponential growth in data-driven research. In response, attention has been afforded to datasets and accompanying data papers as outputs of the research and dissemination ecosystem.
Barbara McGillivray +5 more
doaj +1 more source
Practice-Based Learning of Product Lifecycle Data Reuse
Irish Journal of Academic Practice, 2022 Model-Based Definition (MBD) is an emerging methodology that plays a central role in transforming traditional manual industry practices to automation through machine-to-machine communication.
Rosemary Astheimer
doaj +1 more source
Internet Archaeology, 2023 Over the last decade, innovation has centred on making archaeological data more interoperable, increasing the discoverability of data through integrated cross-search and facilitating knowledge creation by combining data in new ways.
Kristy-Lee Seaton +5 more
doaj +1 more source
Computational Reproducibility: A Practical Framework for Data Curators
Journal of eScience Librarianship, 2021 Introduction: This paper presents concrete and actionable steps to guide researchers, data curators, and data managers in improving their understanding and practice of computational reproducibility.
Sandra L. Sawchuk, Shahira Khair
doaj +1 more source
Yearbook of Medical Informatics, 2014 Summary Objectives: To provide an overview of the benefits of clinical data collected as a by-product of the care process, the potential problems with large aggregations of these data, the policy frameworks that have been formulated, and the major challenges in the coming years.
openaire +2 more sources
A Proposal on Using Reuse Readiness Levels to Measure Software Reusability
Data Science Journal, 2010 The use of scientific data is becoming increasingly dependent on the software that fosters such use. As the ability to reuse software contributes to capabilities for reusing software-dependent data, instruments for measuring software reusability ...
Robert R Downs, James J Marshall
doaj +1 more source
KULA, 2022 Although data reusers request information about how research data was created and curated, this information is often non-existent or only briefly covered in data descriptions.
Lisa Börjesson +5 more
doaj +1 more source