Results 31 to 40 of about 26,692,092 (245)

Knowledge graph‐based multimodal neural networks for smart‐grid defect detection

Engineering Reports
The application of artificial intelligence in smart grid operations, particularly for defect detection, has seen remarkable progress. However, effectively leveraging multi‐modal data sources to enhance defect detection performance remains challenging ...
Kaiyang Li, Yaoying Wang, Tianyou Zhu, Jiwei Li, Junda Ren, Zhenyu Chen   +5 more
doaj   +1 more source

Research on big data diagnosis method of transformer abnormal state based on improved k-medoids clustering and carbon constraint

Diance yu yibiao
In order to further improve the diagnostic accuracy and diagnostic efficiency of carbon constrained type transformer operating state, a transformer state anomaly diagnosis method is proposed based on the improved k-medoids clustering theory.
SONG Jinwei, LI Junni, XUAN Donghai, WU Haihan   +3 more
doaj   +1 more source

Invisible but not inaccessible—Revealing transient oligomers formed by intrinsically disordered proteins with solution NMR and complementary methods

FEBS Letters, EarlyView.
Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley   +1 more source

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

Molecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani, Dominic Guanzon, Andrew Lai, Katherin Scholz‐Romero, Sarah Reed, Edita Ritmejeryte, Rohan Lourie, Naven Chetty, Kaltin Ferguson, Carlos Salomon   +9 more
wiley   +1 more source

A Human-in-the-Loop Anomaly Detection Architecture for Big Traffic Data of Cellular Network

IEEE Access
In the era of mobile big data, smart mobile devices have become an integral part of our daily life, which brings many benefits to the digital society.
Shenglong Liu, Yuxiao Xia, Di Wang
doaj   +1 more source

Dynamic Replication based on Firefly Algorithm in Data Grid [PDF]

Journal of Advances in Computer Engineering and Technology, 2017
In data grid, using reservation is accepted to provide scheduling and service quality. Users need to have an access to the stored data in geographical environment, which can be solved by using replication, and an action taken to reach certainty.
mehdi Sadeghzadeh
doaj  

Optimization of seminal extracellular vesicle isolation protocols for cancer biomarker analysis using proteomic profiling

Molecular Oncology, EarlyView.
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan, Beatriz Martín‐Gracia, Eva Bassols‐Citores, Krizia Sagini, Maria K. Andersen, Tuula A. Nyman, May‐Britt Tessem, Morten B. Rye, Alicia Llorente   +8 more
wiley   +1 more source

High-Speed Rail Electric Traction Carbon Emission Calculation Method Based on Carbon Flow Theory

IEEE Access
With global warming and escalating environmental pressures, low-carbon development has become a consensus. Against this backdrop, this study proposes an innovative method for calculating the carbon emissions from electric traction of high-speed trains ...
Song Jinwei, Chen Xiang, Lu Caixia, Shi Xin, Yan Yue, Zhang Shize   +5 more
doaj   +1 more source

The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection

Molecular Oncology, EarlyView.
Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński, Krzysztof Pastuszak, Anna Samelak‐Czajka, Zuzanna Cemka, Paulina Jackowiak, Tomasz Stefaniak, Sylwia Łapińska‐Szumczyk, Jacek Jassem, Anna J. Żaczek, Matthew T. Rondina, Myron G. Best, Sjors G. J. G. In 't Veld, Anna Supernat   +12 more
wiley   +1 more source

SAMPE: Auto-Prompting SAM for Generalizable Power Equipment Image Segmentation

IEEE Access
Power equipment image segmentation is challenging as it involves objects of various scales/sizes, illustration conditions, and imaging angles, making task-specific deep learning approaches struggle to extract scene-invariant features for segmentation and
Yuanshan Guo, Rui Gong, Dong Li, Yangyang Wu, Xiaojing Zhao, Yue Liu, Zengqiang Yan   +6 more
doaj   +1 more source