Results 71 to 80 of about 4,133 (219)

Developing an Artificial Intelligence Model to Determine Misconceptions About Cell Division of Secondary School Students

European Journal of Education, Volume 61, Issue 2, June 2026.
ABSTRACT The aim of this study is to develop an AI‐based model to identify students' misconceptions about mitosis and meiosis and to evaluate their responses to open‐ended questions. The sample consisted of 400 secondary school students in a city in eastern Turkey. Two open‐ended questions with answers rated from 0 to 3 by the teacher were prepared and
Meryem Konu Kadirhanoğulları
wiley   +1 more source

Consumer Acceptance of Conversational Bots: Systematic Literature Review and Meta‐Analysis

Journal of Consumer Behaviour, Volume 25, Issue 3, Page 1488-1520, May 2026.
ABSTRACT As consumers increasingly rely on conversational bots for daily tasks, evidence surrounding motivations for acceptance remains scattered. A systematic literature review (SLR) was conducted on 64 journal articles published between 2008 and 2024, of which 48 provided sufficient quantitative data for inclusion in a meta‐analysis.
Omar H. Fares, Seung Hwan (Mark) Lee
wiley   +1 more source

NCHLT Tshivenḓa fastText-Skipgram embeddings

, 2023
Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017).
Roald Eiselen
core   +1 more source

Suicidal Thoughts Detection on Social Media in Roman Urdu Using an Attention‐Based Hybrid Deep Learning Model

Engineering Reports, Volume 8, Issue 5, May 2026.
Proposed framework of suicide detection. ABSTRACT Early detection of suicidal ideation on social media is crucial for timely intervention and prevention. In Pakistan and other Asian countries, a significant number of users communicate on social media in Roman Urdu, a non‐standardized script of Urdu, which poses challenges for text analysis.
Allah Ditta, Nazish Iftikhar, Khurram Gulzar Rana, Asghar Ali Shah, Muhammad Adnan Khan   +4 more
wiley   +1 more source

CTexT Afrikaans fastText CBoW String Embeddings

, 2022
The CTexT Afrikaans fastText CBoW String Embeddings is a 300 dimensional Afrikaans embedding model based on the Contunious Bag of Words fastText architecture that provides real-valued vector representations for Afrikaans text.
Eiselen, Roald
core   +1 more source

MicrobeDiscover: A Knowledge Graph–Enabled AI Framework for Identifying Microbes for Inorganic Nanomaterial Biosynthesis

Advanced Science, Volume 13, Issue 20, 9 April 2026.
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang, Hexing Han, Yufeng Liu, Zhiyuan Ning, Yujie Ma, Haidan Wang, Jinling Xu, Qiansheng Huang, Wenjuan Cui, Yuanchun Zhou, Yang Gao, Bin Wang, Yi Du   +12 more
wiley   +1 more source

Benchmarking speech biomarkers of Alzheimer's against cognitive and neural measures

Alzheimer's &Dementia, Volume 22, Issue 4, April 2026.
Abstract INTRODUCTION Digital speech biomarkers (DSBs) support the detection and monitoring of Alzheimer's disease (AD) in Latinos. However, they have not been benchmarked against standard cognitive and neuroimaging measures, missing a critical validation milestone. METHODS Thirty‐three AD patients and 33 healthy controls completed verbal fluency tasks,
Ivan Caro, Gonzalo Pérez, Joaquín Valdés Bize, Joaquín Ponferrada, Franco J. Ferrante, Alejandro Sosa Welford, Lara Gauder, Loreto Olavarría, Fernando Henríquez, Teresita Ramos, Cristina Besnier, Luciana Ferrer, Maria Luisa Gorno‐Tempini, Andrea Slachevsky, Agustín Ibañez, Adolfo M. García   +15 more
wiley   +1 more source

The Connection Between Associative Memory and Semantic Similarity: Evidence From Fan Experiments and Distributional Models

Cognitive Science, Volume 50, Issue 4, April 2026.
Abstract Memory retrieval is prone to interference: when multiple concepts in memory match a given retrieval cue, recall becomes slower and less accurate. This has repeatedly been studied in fan effect experiments in which participants learn facts that are combinations of person–location pairs.
Philine Link, Diego Frassinelli, Leendert van Maanen, Jakub Dotlačil   +3 more
wiley   +1 more source

Expertise Retrieval Using Adjusted TF-IDF and Keyword Mapping to ACM Classification Terms

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
In an era of collaboration, knowing someone's expertise is becoming increasingly necessary. Recognizing individuals' proficiency can be challenging because it requires considerable manual time.
Lyla Ruslana Aini, Evi Yulianti
doaj   +1 more source

Synapse at CAp 2017 NER challenge: Fasttext CRF

CoRR, 2017
We present our system for the CAp 2017 NER challenge which is about named entity recognition on French tweets. Our system leverages unsupervised learning on a larger dataset of French tweets to learn features feeding a CRF model. It was ranked first without using any gazetteer or structured external data, with an F-measure of 58.89\%.
Damien Sileo, Camille Pradel, Philippe Muller, Tim Van de Cruys   +3 more
openaire   +4 more sources