Results 191 to 200 of about 113,519 (298)

Autoencoders lineares e autoencoders não lineares (ReLU)

, 2020
Este trabalho é dedicado ao estudo de autoencoders lineares, onde se destacam as suas ligações com a técnica PCA e com autoencoders não lineares, nomeadamente, usando a função de ativação ReLU. Ao longo desta dissertação, são demonstrados diversos resultados sobre esta temática, através de diversas simplificações e hipóteses adicionais.
openaire   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, EarlyView.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Machine learning-based multi-class classification of bladder pathologies using fused 3D CT radiomic and 3D auto-encoder deep features. [PDF]

Eur J Radiol Open
Xiao H, Liu W, Yang H, Huang Z, Yuan Y, Wang T, Liu H, Wu K.   +7 more
europepmc   +1 more source

How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks? [PDF]

José Daniel Hernández Sosa, Mohamed Ali Aloulou, Д. И. Рухович, Rim Sleimi, Boonyarit Changaival, Anis Kacem, Djamila Aouada   +6 more
openalex   +1 more source

Power quality disturbances classification using autoencoder and radial basis function neural network

, 2023
Venkataramana Veeramsetty, Aitha Dhanush, Aluri Nagapradyullatha, Gundapu Rama Krishna, Surender Reddy Salkuti   +4 more
openalex   +1 more source

Hyperspectral Imaging Combined With Image Fusion Features and Machine Learning to Discriminate Different Origins, Grades, and Shelf‐Life of Oranges

Food Safety and Health, EarlyView.
This study verified that it is feasible to distinguish oranges of different origins, grades and shelf lives by using hyperspectral technology. It covers spectral, image and graph technologies, as well as machine learning and deep learning models. ABSTRACT This study reports the first application of hyperspectral feature fusion technology combined with ...
Honghui Xiao, Hao Hu, Hanyi Mei, Hao Deng, Yongzhi Zhang, Jing Nie, Hao Wu, Karyne M. Rogers, Yuwei Yuan, Chunlin Li   +9 more
wiley   +1 more source

Ai-guided vectorization for efficient storage and semantic retrieval of visual data. [PDF]

Discov Artif Intell
Harby AA, Zulkernine F, Abdulsalam HM.
europepmc   +1 more source

MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning [PDF]

Jinyuan Feng, Min Chen, Zhiqiang Pu, Yifan Xu, Yanyan Liang   +4 more
openalex   +1 more source

Hydrogen Halide Gas Sensors: Active Materials, Operation Principles, and Emerging Technologies

Interdisciplinary Materials, EarlyView.
This review considers hydrogen halide (HX) gas sensors across functional materials and principles: acoustic, chemical, optical and nanophotonic. The strong acidity and reactivity of HX gases are discussed as constraints for stability and selectivity of these devices.
Xiuzhen Liu, Nikita Tukachev, Kehang Wang, Dmirty Zhirihin, Yaopeng Cheng, Pavel Krasnov, Mingzhao Song, Soslan Khubezhov, Wenping Yin, Emmanuel Stratakis, Sailing He, Andrey L. Rogach, Sergey Makarov   +12 more
wiley   +1 more source

Early identification of abnormal pulmonary infectious diseases using unsupervised anomaly detection. [PDF]

Quant Imaging Med Surg
Liu R, Zhu Y, Lyu Z, Gao Y, Zhan Y, Zhan Y.   +5 more
europepmc   +1 more source