The white paper
By WITh A ReD COVeR, INTeNDeD TO KeeP, You IN The Black, ReTAIN eXCeL, MOTIVATe eNGAGe, DAY-TO-DAY ReCOGNITION. 1943
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Giovanni Signorelli
- A. Baldini
- E. Baracchini
- Samuel J. Witte
- Shankar Krishnan
- C. Bemporad
- F. Berg
- M. Biasotti
Citations in the corpus
- A Survey on Cleaning Dirty Data Using Machine Learning Paradigm for Big Data Analytics (2018, background): “Whereas, Cisco forecasted by 2020, the volume of worldwide traffic will cross the Internet with IP WAN networks may reach to 2.3ZB each year [2].”
- A scalable verification solution for blockchains (2019, background): “By hash of the block , or block hash , we more precisely mean the hash of the block’s header , a roughly 200-byte piece of data that contains the times-tamp, nonce, previous block hash, and Merkle root hash of the transactions occurring in the block [32].”
- Total cost of ownership and its potential implications for battery electric vehicle diffusion (2016, background): “Several recent investigations, such as a white paper from ICCT, (The International Council on Clean Transportation., 2014), have found that actual fuel consumption is higher than the of fi cial fuel labels due to un-realistic fuel consumption testing methods used by the vehicle manu-factures.”
- The design of the MEG II experiment (2018, background): “Other types of the seesaw mechanism have also been proposed; see [30] for a review.”
- Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs (2012, methodology): “There have been early studies at Akamai on streaming quality metrics using these tools [19].”
- Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook (2020, unknown): “As an example, a technical report published in 2018 [166] described the implementation of DCNN as a machine vision solution to facilitate early detection and classi fi cation of defects, such as epoxy staining and excursion related to ball application, in a wafer production line.”
- Challenges and Research Directions in Medical Cyber–Physical Systems (2012, background): “Within the Infusion Pump Improvement Initiative [64], the FDA now requires assurance cases as part of the documentation submitted for approval.”