Results 211 to 220 of about 5,451,620 (296)

An imputation method for single‐cell RNA sequencing data based on a parallel gated recurrent unit neural network

Quantitative Biology, Volume 14, Issue 4, December 2026.
Abstract Single‐cell RNA sequencing (scRNA‐seq) generates high‐dimensional transcriptomic data but is severely affected by dropout events, which obscure true gene–gene relationships. These missing values introduce bias into downstream analyses, complicate data processing, and reduce analytical efficiency.
Shuang Xu, Xiangtao Li, Jingsong Li, Yu Jiang   +3 more
wiley   +1 more source

Hybrid fuzzy clustering and temporal deep learning framework for multi-parameter forecasting in industrial thermal processes. [PDF]

Front Artif Intell
Vignesh V, Narendran GV, Senthil Kumar R, Sitharthan R.   +3 more
europepmc   +1 more source

Dual‐Branch Network With Enhanced Feature Fusion for Improved Rice Classification Accuracy

Journal of Sustainable Agriculture and Environment, Volume 5, Issue 4, December 2026.
ABSTRACT Accurate mapping of rice, one of the world's most important food crops, is critical for monitoring its growth, estimating yields, and supporting global food security. Most deep learning methods for crop classification rely on multi‐temporal optical remote sensing data. However, it is difficult to obtain sufficient ground‐truth samples for time‐
Rongfei Ma, Wenjiao Shi, Minglei Wang, Xiwei Chen, Chenchen Zhang, Baihong Pan, Xiangming Xiao   +6 more
wiley   +1 more source

CASARS Recommender Systems: A Systematic Review on Methods, Datasets, Limitations, and Future Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
This paper presents the results of a systematic literature review on recommender systems that simultaneously incorporate the context‐aware and session‐aware recommendation paradigms (CASARS). To provide an overview of this specific research area, our review investigated: (1) which techniques have been employed to model contextual preference from the ...
Matheus Henrique Cecilio Leme, Vinicius Sylvestre Simm, Douglas Rorie Tanno, Marcos Aurelio Domingues   +3 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Missing data imputation in hourly CO measurements for air quality monitoring: a case study in the city of Salvador, Brazil. [PDF]

Environ Monit Assess
de Assis TCB, Fontes CH, Albuquerque ÉL.   +2 more
europepmc   +1 more source

Frequency Schrödinger bridge diffusion model for fast MRI reconstruction in abdominal MR‐guided online adaptive radiotherapy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 10, October 2026.
Abstract Background Online adaptive radiotherapy (ART) employs modalities like CBCT, CT, and MRI. For abdominal malignancies, MRI stands out with superior soft‐tissue contrast, no ionizing radiation, and functional imaging capabilities. Yet, MRI‐guided ART for such cases is challenged by long treatment time.
Zhiqun Wang, Shaobin Wang, Nan Liu, Qiu Guan, Qi Chen, Fang Chen, Bei Wang, Yongguang Liang, Xia Liu, Bo Yang, Lang Yu, Hongen Liao, Jie Qiu   +12 more
wiley   +1 more source

A Blockchain-Enabled Security Framework for Cloud-Based Sensor Systems with Deep Learning-Driven Attack Classification. [PDF]

Sensors (Basel)
Ahmad N, Cao Y, Liu W.
europepmc   +1 more source

Adaptive Conductive Systems: Enabling Deformable Electronics Through Engineered Materials, Circuits, and Intelligent Systems

Advanced Science, Volume 13, Issue 58, 19 October 2026.
This review presents the research advances of adaptive conductive systems from the perspective of materials, circuits, systems, and applications. Deformable conductors consist of substrates/matrices and conductive materials, structural design of circuit interconnections, fabrication of circuit interconnections, as well as intelligent systems ...
Yufei Lu, Siyu Liang, Jingyi Niu, Jie Chen, Shuo Zhang, Hongjian Zhang, Dongsheng Jia, Wei Huang   +7 more
wiley   +1 more source

Predictive processing as a scalable computational principle for embodied multitask intelligence. [PDF]

Sci Adv
Idei H, Miyake T, Ogata T, Yamashita Y.
europepmc   +1 more source