Results 171 to 180 of about 3,209,064 (352)

OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired. [PDF]

Sci Rep
Nagasubramanian A, Almazyad AS, Balakrishnan SA, Mm BR, Potti D, Zakariah M, AlSekait DM.   +6 more
europepmc   +1 more source

An Approach for Optical Character Recognition on Grid Infrastructure Using Kohonen Neural Network

, 2017
Shantanu Chaudhary, Swarnima Garg, R. Sathyaraj, Abhinav Behera   +3 more
openalex   +2 more sources

Recognition of Baybayin (Ancient Philippine Character) Handwritten Letters Using VGG16 Deep Convolutional Neural Network Model

, 2020
Lyndon R. Bague, Romeo L. Jorda, Benedicto N. Fortaleza, Andrea Evanculla, Mark Angelo, Vivian P. Páez, Jessica S. Velasco, J Potet, R Khadijah, A Nurhadiyatna, P Sonawane, S Shelke, R Recario, V Mariano, D Galvez, C Lajara, A Widiarti, P Wastu, D Shubhangi, P Hiremath, M Hanmandlu, O Murthy, V Madasu, M Hanmandlu, A Nath, A Mishra, V Madasu, S Attigeri, Y Tay, P Lallican, M Khalid, C Viard-Gaudin, S Knerr, S Arora, D Bhattacharjee, M Nasipuri, D Basu, M Kundu, L Sadouk, T Gadi, E Essoufi, A Bassir, A Zadgaonkar, R Vairagade, M Abdullah, A Agal, M Alharthi, M Alrashidi, B Anilkumar, P Kumar, L Tolentino, R Serfa Juan, A Thio-Ac, M Pamahoy, J Forteza, X Garcia, J Velasco, J Ang, J Caibigan, F Naval, N Arago, B Fortaleza   +61 more
openalex   +1 more source

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

MallaNet residual branch merge convolutional neural network with homogeneous filter capsules for Devanagari character recognition. [PDF]

Sci Rep
Malla SR.
europepmc   +1 more source

Structure and Base Analysis of Receptive Field Neural Networks in a Character Recognition Task. [PDF]

Sensors (Basel), 2022
Goga J, Vargic R, Pavlovicova J, Kajan S, Oravec M.   +4 more
europepmc   +1 more source

CHARACTER RECOGNITION ALGORITHM ON THE BASE OF COMPETITIVE CELLULAR AUTOMATA

, 2015
Vladimir Zhikharevich, Ivan Myroniv, С. Е. Остапов   +2 more
openalex   +2 more sources

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

Molecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy, Samuel Hartzler, Paula A. Vargas Carranza, Shyaman Jayasundara, Madison E. Yates, Nimod D. Janson, Bozhi Liu, Annaleigh Benton, Majid Kazemian, Jason A. Hanna   +9 more
wiley   +1 more source

Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study. [PDF]

Sci Rep
Attar ET.
europepmc   +1 more source

S-Swin Transformer: simplified Swin Transformer model for offline handwritten Chinese character recognition. [PDF]

PeerJ Comput Sci, 2022
Dan Y, Zhu Z, Jin W, Li Z.
europepmc   +1 more source