Results 51 to 60 of about 728 (182)

Vision-based patient identification recognition based on image content analysis and support vector machine for medical information system

EURASIP Journal on Advances in Signal Processing, 2020
In this paper, a vision-based patient identification recognition system based on image content analysis and support vector machine is proposed for medical information system, especially in dermatology. This proposed system is composed of three parts: pre-
Guo-Shiang Lin, Sin-Kuo Chai, Hsiang-Min Li, Jen-Yung Lin   +3 more
doaj   +1 more source

A Real-Time Automatic Kurdistan Numberplate Recognition System

Eurasian Journal of Science and Engineering, 2022
The current paper presents a real-time implementation of a numberplate recognition system for Kurdistan region of Iraq. Automatic numberplate recognition systems (ANPR) have played a key role in many places in enforcing regulations on safe driving and ...
Abubakar M. Ashir
doaj   +1 more source

High‐throughput information extraction of printed specimen labels from large‐scale digitization of entomological collections using a semi‐automated pipeline

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 790-804, March 2026.
Abstract Natural history museums curate billions of insect specimens, representing an unparalleled record of biodiversity. Although large‐scale digitization has expanded access to specimen images, extracting label metadata remains a major bottleneck, typically requiring time‐intensive manual transcription.
Margot Belot, Joël Tuberosa, Leonardo Preuss, Olha Svezhentseva, Magdalena Claessen, Christian Bölling, Franziska Schuster, Théo Léger   +7 more
wiley   +1 more source

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

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

A Knowledge Service System for Foundation Pit Engineering Based on LoRA and RAG

Advances in Civil Engineering, Volume 2026, Issue 1, 2026.
Foundation pit engineering involves a complex system of technical standards. Yet practitioners often struggle to retrieve relevant provisions and interpret them efficiently during construction decision‐making. To address these challenges, this paper presents a knowledge service system that integrates low‐rank adaptation (LoRA) with retrieval‐augmented ...
Shuqin Shi, Chenfei Wang, Aiguo Zhang, Kai Zhang, Yuehui Chen, Jiaqin Shen, Shikha Binwal   +6 more
wiley   +1 more source

Smart Archives: A Machine Learning Approach

Human Behavior and Emerging Technologies, Volume 2026, Issue 1, 2026.
Digital archival data have an increasing exponential capacity, thereby revealing major weaknesses of conventional archival systems such as sluggish retrieval speed, erroneous categorization, and poor adaptation to heterogeneous formats. While the avenue that machine learning (ML) presents is highly promising for transformation, its exploration within ...
Anurag Deb, Anubhab Ray, Samapika Das Biswas   +2 more
wiley   +1 more source

Integrative Assistive Technologies for Visual Impairment: A Systematic Review of AI‐Driven, Robotic, and Sensor‐Fusion Systems

Journal of Robotics, Volume 2026, Issue 1, 2026.
This review paper examines modern assistive technology developments for visually impaired users, focusing on systems that detect multiple objects and understand scenes. This study systematically analyzed devices and systems that assist visually impaired users with daily activities, including navigation, object detection, scene understanding, and text ...
Kaushalya Premarathne, U. U. Samantha Kumara Rajapaksha, Pradeep K. W. Abeygunawardhana, Chandimal Jayawardena, Yangmin Li   +4 more
wiley   +1 more source

Working with batches of PDF files

The Programming Historian, 2020
Learn how to perform OCR and text extraction with free command line tools like Tesseract and Poppler and how to get an overview of large numbers of PDF documents using topic modeling.
Moritz Mähr
doaj  

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