Results 61 to 70 of about 15,930,327 (280)

Validation of New Student Registration Documents at Nurul Jadid University Using Convolutional Neural Network

Transactions on Informatics and Data Science
Every year, Nurul Jadid University admits new students by registering them using the website. Each prospective new student can fill in data independently and upload documents such as Deeds, Family Register, Identity Cards, Diplomas, and SKHU.
Fathorazi Nur Fajri, Gulpi Qorik Oktagalu Pratamasunu, Kamil Malik   +2 more
doaj   +1 more source

Using content based image retrieval techniques for the indexing and retrieval of Thai handwritten documents [PDF]

, 2010
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level ...
Fung, C.C., Chun Che Fung, Sangsawad, S., Seksan Sangsawad   +3 more
core   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Development of a Two-Stage Segmentation-Based Word Searching Method for Handwritten Document Images

Journal of Intelligent Systems, 2018
Word searching or keyword spotting is an important research problem in the domain of document image processing. The solution to the said problem for handwritten documents is more challenging than for printed ones. In this work, a two-stage word searching
Malakar Samir, Ghosh Manosij, Sarkar Ram, Nasipuri Mita   +3 more
doaj   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

FEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Automatic Arabic Text Classification

, 2008
Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language.
Khorsheed, M. S., Al-Harbi, S, Al-Thubaity, A, Al-Rajeh, A, Almuhareb, A   +4 more
core   +1 more source

Epigenetic reprogramming of lineage switching in cancer

FEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı, Burcu Akman, Ezgi Bağırsakçı, Nese Atabey, Serap Erkek‐Ozhan   +4 more
wiley   +1 more source

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source

NetLay: Layout Classification Dataset for Enhancing Layout Analysis

magazén
Within the domain of historical document image analysis, the process of identifying the spatial structure of a document image is an essential step in many document processing tasks, such as optical character recognition and information extraction ...
Gogawale, Sharva, Bambaci, Luigi, Kurar-Barakat, Berat, Vasyutinsky Shapira, Daria, Stökl Ben Ezra, Daniel, Dershowitz, Nachum   +5 more
doaj   +1 more source

Improvement of Image Binarization Methods Using Image Preprocessing with Local Entropy Filtering for Alphanumerical Character Recognition Purposes

Entropy, 2019
Automatic text recognition from the natural images acquired in uncontrolled lighting conditions is a challenging task due to the presence of shadows hindering the shape analysis and classification of individual characters.
Hubert Michalak, Krzysztof Okarma
doaj   +1 more source