Results 81 to 90 of about 1,611,733 (200)
Esscore: An OCR-Based Android App for Scoring Short Handwritten Answer Using Levenshtein Distance
Manual evaluation of short answer tests is time-consuming and prone to subjectivity. This study presents Esscore, an Android-based application that automates the scoring of handwritten short answers using EasyOCR and the Levenshtein Distance algorithm ...
Krisna Apriana +2 more
doaj +1 more source
Objective Dysarthria is one of the most common and disabling side effects of subthalamic nucleus deep brain stimulation (STN‐DBS) in Parkinson's disease (PD). Stimulation often exacerbates speech dysfunction beyond the effects of PD progression, likely because of current spread to structures surrounding the STN.
Petr Krýže +17 more
wiley +1 more source
Automatically Fixing Syntax Errors Using the Levenshtein Distance [PDF]
:To ensure high quality software, much emphasis is laid on software testing. While a number of techniques and tools already exist to identify and locate syntax errors, it is still the duty of programmers to manually fix each of these uncovered syntax ...
Suneil Jooty, Soulakshmee Nagowah, Leckraj Nagowah Antish Jeetun
core +1 more source
Aplikasi Pembelajaran Hiragana Bahasa Jepang Berbasis Android Menggunakan Speech Recognition
The alternative to learning Japanese is to use mobile learning. Based on comparisons made on the 7 popular Japanese language learning applications in the PlayStore, there is no Japanese language learning application that has a speech recognition feature ...
Ryan Anjasmara +2 more
doaj +1 more source
Machine Learning of Personal Repertoires From Public T Cell Receptors
ABSTRACT The T‐cell receptor (TCR) repertoire records an individual's immunological history, but most unique CDR3 sequences in any one person are private and uninformative about anyone else. A small subset, however, recurs predictably across unrelated donors.
Or Malca, Alona Zilberberg, Sol Efroni
wiley +1 more source
Biological specimens housed in natural history collections are indispensable resources for documenting where species occur and how they have changed through time, and are thus vital for combating biodiversity loss. Digitization of these collections promises to make these critical resources globally available.
Matthew W. Austin +4 more
wiley +1 more source
GPU acceleration of Levenshtein distance computation between long strings
Computing edit distance for very long strings has been hampered by quadratic time complexity with respect to string length. The WFA algorithm reduces the time complexity to a quadratic factor with respect to the edit distance between the strings. This work presents a GPU implementation of the WFA algorithm and a new optimization that can halve the ...
openaire +4 more sources
PENGOREKSIAN EJAAN BAHASA BATAK ANGKOLA MANDAILING MENGGUNAKAN ALGORITMA LEVENSHTEIN DISTANCE [PDF]
Kesalahan pada penulisan kerap terjadi ketika kita sedang chatting, berkomentar di sosial media. Kesalahan penulisan ini bermacam-macam bentuk yang sering kita temui seperti, kesalahaan ejaan yang disengaja (penyingkatan), kesalahan ejaan yang tidak ...
Defi Foni Novryanti H, -
core
Applications of ChatGPT in the Health Sector: A Systematic Literature Review
ABSTRACT The integration of large language models, particularly ChatGPT, into healthcare has attracted increasing attention due to their potential to support medical education, clinical decision‐making, administrative workflows, patient communication and clinical documentation.
Alejandro Martínez‐Burgos +3 more
wiley +1 more source
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley +1 more source

