Results 71 to 80 of about 1,913 (199)

Advances in Detecting RNA Modifications Using Direct RNA Nanopore Sequencing

Advanced Genetics, Volume 6, Issue 4, December 2025.
This review examines recent advances in Oxford Nanopore Technologies direct RNA sequencing, highlighting its expanding capacity to detect RNA modifications beyond m6A. It discusses computational frameworks and basecalling innovations that enable single‐nucleotide and single‐molecule resolution, explores co‐occurring modifications and their regulatory ...
Yaran Liu, Yang Li, Qiang Sun
wiley   +1 more source

Harnessing CRNN Technology for Image-Based Sequence Recognition

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023
We are studying the challenge of finding text in everyday images using advanced computer techniques, specifically deep learning. Our system can accurately spot and read text in images. It uses Convolutional Recurrent Neural Networks (CRNNs), a type of deep learning model, to locate and understand the text.
openaire   +1 more source

Data‐Driven Discovery of Atmospheric Chemical Reactions

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Detailed knowledge of chemical processes in the atmosphere is key to our understanding of regional air pollution and global climate change. However, a complete description of all atmospheric chemical reactions is still out of reach. This necessitates the discovery of new reactions for improved predictability and process understanding. Here, we
Daniel Getter, Patrick Obin Sturm, Sam J. Silva   +2 more
wiley   +1 more source

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks

EURASIP Journal on Audio, Speech, and Music Processing, 2020
In this paper, we investigate the performance of two deep learning paradigms for the audio-based tasks of acoustic scene, environmental sound and domestic activity classification.
Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Lukas Stappen, Alice Baird, Lukas Koebe, Björn Schuller   +6 more
doaj   +1 more source

Freight rail activity inventory system using a vision‐based deep learning framework

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 27, Page 4692-4717, 14 November 2025.
Abstract Rail freight serves as a reliable cost‐effective and fuel‐efficient mode for long‐distance ground freight transportation. Existing rail data sources rely heavily on aggregate reports that lead to significant spatiotemporal data gaps for infrastructure planning and regulatory evaluation.
Guoliang Feng, Yiqiao Li, Andre Y. C. Tok, Stephen G. Ritchie   +3 more
wiley   +1 more source

High-Resolution Land-Cover Mapping Based on a Cross-Resolution Deep Learning Framework and Available Low-Resolution Labels

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
High-resolution land cover mapping (LCM) is pivotal in numerous disciplines but still challenging to be acquired because traditional supervised methods require a substantial number of high-resolution labels that is labouring and expensive. To this issue,
Xiaoman Qi, Junhuan Peng, Yuebin Wang, Xiaotong Qi, Yun Peng   +4 more
doaj   +1 more source

Unified Neural Lexical Analysis Via Two‐Stage Span Tagging

CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1254-1267, August 2025.
ABSTRACT Lexical analysis is a fundamental task in natural language processing, which involves several subtasks, such as word segmentation (WS), part‐of‐speech (POS) tagging, and named entity recognition (NER). Recent works have shown that taking advantage of relatedness between these subtasks can be beneficial.
Yantuan Xian, Yefen Zhu, Zhentao Yu, Yuxin Huang, Junjun Guo, Yan Xiang   +5 more
wiley   +1 more source

Intelligent Nowcasting of Convection Initiation Using a Special Ring‐Like Warmer Environment Implied in Fengyun‐4B AGRI Data

Journal of Geophysical Research: Atmospheres, Volume 130, Issue 12, 28 June 2025.
Abstract Based on the neighborhood matching of the satellite Fengyun‐4B and radar observations made during the warm seasons of 2022–2023, a small convection initiation (CI) data set was constructed. Further analyses showed that CI clouds are immersed in an obviously warmer environment (≥290 K) in a “ring‐like” appearance relative to non‐CI clouds ...
Jinqing Liu, Yunying Li, Suling Ren, Yaqiang Wang, Danyu Qin, Ziliang Li, Chengzhi Ye, Bowei Han   +7 more
wiley   +1 more source

Complexity Reduction over Bi-RNN-Based Nonlinearity Mitigation in Dual-Pol Fiber-Optic Communications via a CRNN-Based Approach [PDF]

, 2022
Abtin Shahkarami, Mansoor Yousefi, Yves Jaouën   +2 more
openalex   +1 more source

Temperature Forecasting via Convolutional Recurrent Neural Networks Based on Time-Series Data

Complexity, 2020
Today, artificial intelligence and deep neural networks have been successfully used in many applications that have fundamentally changed people’s lives in many areas.
Zao Zhang, Yuan Dong
doaj   +1 more source