Results 61 to 70 of about 811,653 (307)
Scene Text Detection with Selected Anchors
Object proposal technique with dense anchoring scheme for scene text detection were applied frequently to achieve high recall. It results in the significant improvement in accuracy but waste of computational searching, regression and classification. In this paper, we propose an anchor selection-based region proposal network (AS-RPN) using effective ...
Anna Zhu, Hang Du, Shengwu Xiong 0001
openaire +2 more sources
The ubiquitin‐proteasome system and autophagy as guardians of the cellular proteome
This Perspective covers the three principles governing the crosstalk between the ubiquitin‐proteasome system and autophagy in cellular proteostasis: (1) a shared ubiquitin code routing substrates via shuttle factors or autophagy receptors; (2) spatial compartmentalization into phase‐separated degradation hubs and organelle‐specific modules (exemplified
Ivan Dikic
wiley +1 more source
Text Detection In Indonesian Identity Card Based On Maximally Stable Extremal Regions
Most of Indonesian organizations either it is government or non government sometime required their member to provide their identity card (E-KTP) as legal document collection in their database.
Angga Maulana Purba +2 more
doaj +1 more source
Context Modeling for Ranking and Tagging Bursty Features in Text Streams [PDF]
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without taking into account the semantic contexts of terms, and as a result the detected
Dongdong Shan +12 more
core +1 more source
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
Text extraction from natural scene images using Renyi entropy
Nowadays, development in machine vision incorporated with artificial intelligence surpasses the ability of human intelligence and its application expands exponentially with the increasing number of electronic gadgets in our day-to-day life. The explosive
Angia Venkatesan Karpagam +1 more
doaj +1 more source
A Post-Processing Method for Text Detection Based on Geometric Features
Deep learning text detection is generally divided into two steps: prediction candidate box of depth model and post-processing, and post-processing usually uses NMS or prediction box to merge and connect.
Xiaogang Qiu +4 more
doaj +1 more source
Emotion Detection in Arabic Text using Machine Learning Methods [PDF]
Emotions are essential to any or all languages and are notoriously challenging to grasp While numerous studies discussing the recognition of emotion in English Arabic emotion recognition research remains in its early stages The textual data with ...
Fatimah Khalil Aljwari
core +1 more source
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Text Detection of Transformer Based on Deep Learning Algorithm [PDF]
Transformers are important equipment in the power system. At present, the text information collection of transformer nameplates is through manual, which is inefficient.
Zhang, Yinmei +5 more
core +2 more sources

