Results 161 to 170 of about 649,643 (307)

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction

IEEE Signal Processing Magazine, 2018
Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Måns Larsson, Alexander Kirillov, Bogdan Savchynskyy, C. Rother, Fredrik Kahl, Philip H. S. Torr   +9 more
semanticscholar   +1 more source

FomA‐Containing Outer Membrane Vesicles of Fusobacterium Nucleatum Facilitate Bladder Cancer Lymphatic Metastasis via IL‐6‐Dependent M2b Macrophage Polarization

Advanced Science, EarlyView.
Urinary Fusobacterium nucleatum–derived outer membrane vesicles are shown to promote bladder cancer lymphatic metastasis. The vesicle protein FomA activates TLR2/NF‐κB signaling in tumor cells, induces IL‐6 secretion, and drives M2b macrophage polarization and VEGF‐C–dependent lymphangiogenesis, revealing a microbiota‐driven mechanism linking tumor ...
Wentai Shangguan, Weijia Li, Wenxue Huang, Jilin Wu, Yao Yu, Yiyao Huang, Lin Yang, Ming Xie, Qishen Yang, Jun Zheng, Yuexuan Zhu, Qi Sun, Biao Li, Leqian Li, Zongwei Wang, Jie Zhao, Peng Wu, Bisheng Cheng   +17 more
wiley   +1 more source

Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology. [PDF]

Front Oncol, 2019
Zormpas-Petridis K, Failmezger H, Raza SEA, Roxanis I, Jamin Y, Yuan Y.   +5 more
europepmc   +1 more source

2023–2027 CAP First Pillar Reform and Livestock Sector: Production and Economic Impacts on Italian Specialized Dairy Cattle Farms

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley   +1 more source

Graphical Model Selection for Gaussian Conditional Random Fields in the Presence of Latent Variables. [PDF]

J Am Stat Assoc, 2019
Frot B, Jostins L, McVean G.
europepmc   +1 more source

Probabilistic Modeling for Prediction Errors to Enhance Balancing Market Participation of Photovoltaic Systems: Error Threshold Estimation, Multisite Aggregation, and Overloading Effects

Advanced Energy and Sustainability Research, EarlyView.
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui, Xue Fang, Takashi Oozeki, Yuzuru Ueda   +3 more
wiley   +1 more source

Identifying Fishing Activities from AIS Data with Conditional Random Fields

Annals of computer science and information systems, 2016
Baifan Hu, Xiang Jiang, Erico Souza, Ronald Pelot, Stan Matwin   +4 more
doaj   +1 more source

Pulmonary vessel segmentation in computed tomography images: a cascaded approach combining U-Net and parameter-adaptive fully connected conditional random fields. [PDF]

Quant Imaging Med Surg
Xue Z, Sun Y, Tong G, Wang Z, Zhao X.
europepmc   +1 more source

Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition. [PDF]

BMC Med Inform Decis Mak, 2019
Lee W, Choi J.
europepmc   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source