Results 51 to 60 of about 6,299 (201)

Secure Authentication via Quantum Physical Unclonable Functions: A Review

Advanced Quantum Technologies, Volume 9, Issue 1, January 2026.
This in‐depth review article examines the origins, development, and evolution of Quantum Physical Unclonable Functions (QPUFs), with a particular focus on their use in secure authentication. The topic is motivated and introduced in detail, addressing both theoretical foundations and practical implementations, and is supported by a systematic article ...
Pol Julià Farré, Vladlen Galetsky, Mohamed Belhassen, Gregor Pieplow, Kumar Nilesh, Holger Boche, Tim Schröder, Janis Nötzel, Christian Deppe   +8 more
wiley   +1 more source

A Computer Algorithm For Engineering Off-Shell Multiplets With Four Supercharges On The World Sheet [PDF]

, 2012
We present an adinkra-based computer algorithm implemented in a Mathematica code and use it in a limited demonstration of how to engineer off-shell, arbitrary N-extended world-sheet supermultiplets.
Burghardt, K., Gates Jr, S. J.
core  

Unconstrained Scene Text and Video Text Recognition for Arabic Script

, 2017
Building robust recognizers for Arabic has always been challenging. We demonstrate the effectiveness of an end-to-end trainable CNN-RNN hybrid architecture in recognizing Arabic text in videos and natural scenes.
Jain, Mohit, Jawahar, C. V., Mathew, Minesh   +2 more
core   +1 more source

Key Frame Extraction for Text Based Video Retrieval Using Maximally Stable Extremal Regions

EAI Endorsed Transactions on e-Learning, 2015
This paper presents a new approach for text-based video content retrieval system. The proposed scheme consists of three main processes that are key frame extraction, text localization and keyword matching.
Werachard Wattanarachothai, Karn Patanukhom   +1 more
doaj   +1 more source

Which OCR toolset is good and why : A comparative study

Kuwait Journal of Science, 2021
Optical Character Recognition (OCR) is a very active research area in many scientific disciplines like pattern recognition, natural language processing (NLP), computer vision, biomedical informatics, machine learning and artificial intelligence.
Pooja Jain, Kavita Taneja, Harmunish Taneja   +2 more
doaj   +1 more source

Three Algorithms for Parallel Graph Summarization

Expert Systems, Volume 43, Issue 1, January 2026.
ABSTRACT Most graph summarization algorithms are tailored to a specific graph summary model and were designed for one‐time computations only, that is, batch‐based computations. We developed a universal approach for parallel graph summarization and three algorithms to compute graph summaries—a batch‐based algorithm for static graphs, an incremental ...
Till Blume, Jannik Rau, David Richerby, Ansgar Scherp   +3 more
wiley   +1 more source

Knowledge Graph for Methane Selective Conversion: Revisiting and Predicting Product Selectivity and Methane Conversion

Advanced Science, Volume 12, Issue 48, December 29, 2025.
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu, Gaoyang Li, Bohan Wang, Jiawei Bian, Hui Pan, Yulin Min, Guodong Qi, Jun Xu, Feng Deng, Feng Ju, Hao Ling, Zhendong Wang   +11 more
wiley   +1 more source

Enhancing OCR Accuracy on Indonesian ID Cards Using Dual-Pipeline Tesseract and Post-Processing

Journal of Electrical Engineering and Computer Sciences
Manual transcription of data from Indonesian identity cards (KTP) remains prevalent in public institutions, often resulting in inefficiencies and human errors that compromise data accuracy.
Rendy Dwi Reksiyano, Syafrial Fachri Pane, Rolly Maulana Awangga   +2 more
doaj   +1 more source

Advertisement Image Classification—Visual (RESNET) Versus Textual (BERT) Features: An Experimental Study

Engineering Reports, Volume 7, Issue 12, December 2025.
This experimental study compares Visual features with Textual features for advertisement image classification and reveals that for Advertisement Images, Textual Features provide superior image understanding, resulting in significantly higher classification accuracies (96.88% to 97.37%) as compared to the highest classification accuracy of 71.41 ...
Pooja Jain, Rohini Arora, Kavita Taneja, Harmunish Taneja   +3 more
wiley   +1 more source

Computer vision for Pokémon Battles: A YOLO and Tesseract-Based System for Automated Recognition and Gameplay Analysis

Interfases
Pokémon Double Battles present a complex decision-making environment that has traditionally relied on manual data analysis. This paper introduces an automated system leveraging computer vision and deep learning to extract structured gameplay data from ...
Miguel R. Lladó, Terence Morley
doaj   +1 more source