Results 71 to 80 of about 14,332 (195)
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
Focal CTC Loss for Chinese Optical Character Recognition on Unbalanced Datasets
Complexity, 2019 In this paper, we propose a novel deep model for unbalanced distribution Character Recognition by employing focal loss based connectionist temporal classification (CTC) function.
Xinjie Feng +2 more
doaj +1 more source
Modeling user navigation [PDF]
, 2003 This paper proposes the use of neural networks as a tool for studying navigation within virtual worlds. Results indicate that the network learned to predict the next step for a given trajectory.
Mangina, E. +4 more
core
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 +3 more
wiley +1 more source
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling
, 2017 We present an approach for weakly supervised learning of human actions. Given a set of videos and an ordered list of the occurring actions, the goal is to infer start and end frames of the related action classes within the video and to train the ...
Gall, Juergen +2 more
core +1 more source
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 Sound event detection (SED) methods typically rely on either strongly labelled data or weakly labelled data. As an alternative, sequentially labelled data (SLD) was proposed. In SLD, the events and the order of events in audio clips are known, without knowing the occurrence time of events.
Hou, Yuanbo +3 more
openaire +3 more sources
Graph Connectionist Temporal Classification for Phoneme Recognition
Accepted to the IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2025)
Grafé, Henry, Van hamme, hugo
openaire +3 more sources
Journal of the Association for Information Science and Technology, Volume 76, Issue 9, Page 1162-1173, September 2025.Abstract Concerns over research integrity are rising, with increasing attention to potential threats from untrustworthy authors. We established a framework to gauge the potential negative influence of researchers potentially engaged in misconduct. The field of Alzheimer's disease (AD) research has been a focal point of these worries. This study aims to
Chaoqun Ni, B. Ian Hutchins
wiley +1 more source
DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation
, 2018 There is an undeniable communication barrier between deaf people and people with normal hearing ability. Although innovations in sign language translation technology aim to tear down this communication barrier, the majority of existing sign language ...
Chai Xiujuan +5 more
core +1 more source
The Rise of Large Language Models: Evolution, Applications, and Future Directions
Engineering Reports, Volume 7, Issue 9, September 2025.This paper provides a comprehensive Systematic Literature Review (SLR) on Large Language Models (LLMs), covering their evolution, applications, evaluation metrics, and challenges. It identifies key research gaps and future directions, offering a structured taxonomy and analysis of performance environments, datasets, and open issues in LLM research ...
Amir Masoud Rahmani +2 more
wiley +1 more source