Results 171 to 180 of about 12,594 (215)

SDS-22 stabilizes GSP-1/-2 PP1 subunits contributing to polarity establishment in C. elegans embryos. [PDF]

EMBO Rep
Li Y, Calvi I, Gotta M.
europepmc   +1 more source

fNIRS in global child health research: insights from failure mode and effects analysis on a longitudinal project in Bangladesh. [PDF]

Neurophotonics
Di Lorenzo R, Anderson JE, Shama T, Sullivan EF, Rahman N, Nelson CA.   +5 more
europepmc   +1 more source

Nano-CaO₂-Modified Biochar for Enhancing Thermophilic Anaerobic Digestion of Tofu Wastewater: A Review of Risk Mitigation and Resource Recovery Strategies. [PDF]

Molecules
Zheng X, Maurice NJ, Giwa HN, Giwa AS.
europepmc   +1 more source

Comprehensive Risk Assessment of Occupational Hazards in a Hospital Radiology Department: A Failure Mode and Effects Analysis.

Indian J Occup Environ Med
Shetty V.
europepmc   +1 more source

IoU-uniform R-CNN: Breaking through the limitations of RPN [PDF]

Pattern Recognition, 2021
Region Proposal Network (RPN) is the cornerstone of two-stage object detectors, it generates a sparse set of object proposals and alleviates the extrem foregroundbackground class imbalance problem during training. However, we find that the potential of the detector has not been fully exploited due to the IoU distribution imbalance and inadequate ...
Li Zhu, Liman Liu, Wenbing Tao
exaly   +3 more sources

Discovery of a non-covalent ligand for Rpn-13, a therapeutic target for hematological cancers [PDF]

Bioorganic and Medicinal Chemistry Letters, 2023
The ubiquitin-proteasome system serves as the major proteolytic degradation pathway in eukaryotic cells. Many inhibitors that covalently bind to the proteasomes active sites have been developed for hematological cancers, but resistance can arise in ...
Cody A Loy, Eslam M H Ali, Mostafa H Ahmed   +2 more
exaly   +2 more sources

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PU Learning for RPN Generalization

2020 The 4th International Conference on Video and Image Processing, 2020
Region proposal is an important part of the two-stage object detection. RPNs pay more attention to the object within dataset, which has poor generalization and cannot generate objects that is unseen in the dataset. The traditional method does not rely on data but the performance is poor.
Tengfei Hou, Ya Zhang 0002, Yanfeng Wang 0001   +2 more
openaire   +1 more source

RPN tuning strategy for model predictive control

Journal of Process Control, 2003
Abstract A novel tuning strategy based on RPN for MIMO MPC is presented. The RPN indicates how potentially difficult it is for a given system to achieve the desired performance robustly. It reflects both the attainable performance of a system and its degree of directionality.
Jorge O Trierweiler
exaly   +2 more sources

Analysis of Throttle Body's Remanufacturing Process and RPN

Journal of the Korean Institute of Resources Recycling, 2016
Sang Jin Park
exaly   +3 more sources