Results 211 to 220 of about 1,573,713 (266)

Neural computing for data recovery

2007 International Joint Conference on Neural Networks, 2007
This paper presents binary threshold networks to recover regularized LS estimates from degraded images. The binary networks consist of nonlinear processing elements configured to optimize the objective function. The optimization takes place at the bit-level on partitions of these networks. Update procedures and algorithms are outlined.
openaire   +1 more source

The Data Recovery Service in NoSQL

2022 IEEE International Conference on Big Data (Big Data), 2022
Chia-Ping Tsai, Hung-Chang Hsiao, Yu-Chen Lai   +2 more
openaire   +1 more source

Cancer risk among World Trade Center rescue and recovery workers: A review

Ca-A Cancer Journal for Clinicians, 2022
Andrew Todd, Charles Hall, Paolo Boffetta   +2 more
exaly  

Planning for post‐pandemic cancer care delivery: Recovery or opportunity for redesign?

Ca-A Cancer Journal for Clinicians, 2021
Kathryn Gold, Hope Rugo, Pelin Cinar
exaly  

Central-cell-produced attractants control fertilization recovery

Cell, 2023
Hongju Li, Wei-Cai Yang, Peng-Fei Jia
exaly  

Recovery from Work: Advancing the Field Toward the Future

Annual Review of Organizational Psychology and Organizational Behavior, 2022
Stacey L Parker, Sabine Sonnentag, Bonnie Hayden Cheng   +2 more
exaly  

Soil moisture determines the recovery time of ecosystems from drought

Global Change Biology, 2023
Sha Zhou, Yanxu Liu, Bojie Fu
exaly  

Data Recovery

2021
openaire   +1 more source

Data Recovery

2017
openaire   +2 more sources

Refactor data recovery

2022
This final degree project shows the process and implementation of the improvement in memory management of a component that is an essential part for data recovery in an update of the operating system of an embedded system. This project have the goal to perform the analysis, design, implementation and evaluation of the memory management of data recovery ...
openaire   +1 more source