Results 31 to 40 of about 526,391 (261)
Deception detection in Russian texts [PDF]
Proceedings of the Student Research Workshop at the 15th Conference of
the European Chapter of the Association for Computational Linguistics, 2017 Humans are known to detect deception in speech randomly and it is therefore important to develop tools to enable them to detect deception. The problem of deception detection has been studied for a significant amount of time, however the last 10-15 years have seen methods of computational linguistics being employed.
Olga Litvinova +3 more
openaire +1 more source
End to End Invoice Processing Application Based on Key Fields Extraction
IEEE Access, 2022 In this paper, an automatic invoice processing system, which is in great demand among private and public companies, was proposed. The proposed system supports all invoice file types that can be submitted by companies. Companies can easily submit invoices
Halil Arslan
doaj +1 more source
KText: Arbitrary shape text detection using modified K‐Means
IET Computer Vision, 2022 Text detection methods based on grouping characters have emerged and have achieved promising performance. Nevertheless, previous methods that grouped characters by learning the relation of adjacent characters or used the heuristic clustering method with ...
Zhuo Qi +4 more
doaj +1 more source
IEEE Access, 2020 The adoption of electronic health records (EHRs) is an important step in the development of modern medicine. However, complete health records are not often available during treatment because of the functional problem of the EHR system or information ...
Wenyuan Xue, Qingyong Li, Qiyuan Xue
doaj +1 more source
Advanced Text Detection of Container Numbers via Dual-Branch Adaptive Multi-Scale Network
Applied SciencesText detection of container numbers is essential in logistics for the efficient tracking and management of containers. However, the wear and damage that container numbers often endure in harsh environments make detection particularly challenging.
Li Yao, Chenchen Tang, Yan Wan
doaj +1 more source
CommuSpotter: Scene Text Spotting with Multi-Task Communication
Applied Sciences, 2023 Scene text spotting is a challenging multi-task modulation for locating and recognizing texts in complex scenes. Existing end-to-end text spotters generally adopt sequentially decoupled multi-tasks, consisting of text detection and text recognition ...
Liang Zhao, Greg Wilsbacher, Song Wang
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
Recognition of Machine-Readable Zone in Identity Documents: A Review
IEEE AccessEncoding personal identity document information into machine-readable formats is one of the most important approaches to automatic data processing. The Machine-Readable Zone (MRZ) of a document contains text data in the form of 2 or 3 long text lines of ...
Alexander V. Gayer +2 more
doaj +1 more source
Parking space number detection with multi‐branch convolution attention
IET Signal Processing, 2023 With the increase of large shopping malls, there are many large parking spaces in complex environments, which increases the difficulty of finding vehicles in such environments.
Yifan Guo +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source