Using Natural Language Processing to Correlate University Curricula with Required Job Skills

Συγγραφείς: Ramnarine, Vidya, Chamansingh, Nicholas, Hosein, Patrick

Πηγή: 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2025 International Conference on. :1-6 Aug, 2025

Relation: 2025 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Advancing Somali NLP: A Comprehensive Study of Machine Learning-Based Techniques for Named Entity Recognition in Under-Resourced Languages

Συγγραφείς: Mohamed, Mohamed Muhumed, Mohamed, Shafie Abdi, Hussein, Abdikadir Abdullahi, Ali, Zakarie Abdikani, Hassan, Fuad M.

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-5 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Large Language Models as MT Evaluators: Statistical Evidence from a Low-Resource Setting

Συγγραφείς: Munkova, Dasa, Munk, Michal, Chotar, Martin, Hajek, Petr

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Development of Module-Based MTB-MLE Learning for Waray Language Using Hybrid Hidden Markov Model

Συγγραφείς: Andaya, Francel Mitzie R., Baquiran, Jeremiah D., Sabillena, Mikaela D., Gamara, Rex Paolo C.

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Real-Time American Sign Language Subtitle Generation Using NLP Models for Enhanced Accessibility

Συγγραφείς: Igweh, Kevin, Garcia-Ruiz, Miguel, Lin, Wenjun, Anjum, MD Nashid

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-8 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Ethical Decision-Making in the Age of AI: An Analysis of Large Language Models (LLMs)

Συγγραφείς: Dozier, Priya, Mali, Ankur, Curtis, Ashley

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

LLMs and AI in the Language Industry: An Overview

Συγγραφείς: Lazarov, Todor

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Foundational Design of Multi-Modal Typed Programming Language for Quantum-Classical Hybrid Computing System

Συγγραφείς: Arakaki, Shota, Hirokawa, Masao

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-5 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Evaluating Code Readability in Java-to-Kotlin Migration Using Large Language Models and Static Analysis

Συγγραφείς: Ibarra, Nirel Marie M.

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Large Language Model and Reinforcement Learning Based Autonomous Construction and Progress Updates

Συγγραφείς: Xiao, Yifei, Lin, Huasheng, Yang, T.Y.

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DLR: A Unified Framework for Semi-Supervised Learning with Large Language Models

Συγγραφείς: Ahmad, Imran, Alhayyan, Khalid N.

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :01-08 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

An Implementation of Secure Split Inference for Large Language Models on Resource-Constrained Edge Devices

Συγγραφείς: Hameed, Nada, Kamruzzaman, Abu

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

A Framework for Enhancing Open and Distance Learning Using Large Language Models and Augmented Reality

Συγγραφείς: Oju, Joseph Uzuazomaro, Vincent, Olufunke Rebecca, Onwodi, Gregory O.

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-7 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Does Bigger Mean Better? Comparative Analysis of CNNs and Biomedical Vision-Language Models in Medical Diagnosis

Συγγραφείς: Tong, Ran, Liu, Jiaqi, Wang, Tong, Hu, Xin, Liu, Su, Wang, Lanruo, Xu, Jiexi

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

The Dilemmas and Breakthroughs in Evidence-Based Evaluation of Middle School Chinese Language Teaching Under Educational Digitalization

Συγγραφείς: Shi, Fuling, Wei, Jiachao

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

MAS-LLaVA: Motion-Aware Adaptive Sampling for Training-Free Video Large Language Models

Συγγραφείς: Tang, Jialin, Bai, Yu

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Comparison of Large Language Models for Software Anti-Patterns Detection

Συγγραφείς: Kanse, Mahesh Tanaji, Fallon, Enda, Rodrigues, Thiago Braga

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Stock Prediction based on Annual Reports using Large Language Model

Συγγραφείς: Pokala, Naveena, Hossan, Sakhawat, Deng, Jing, Huang, Dayong

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

Leveraging Large Language Models for Intelligent Manufacturing: Opportunities and Challenges

Συγγραφείς: Yesil, Halil, Bozyigit, Fatma, Tezel, Baris Tekin, Challenger, Moharram

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

JavaTutor: An Integrated Large Language Model Tutoring Platform for Learning Java

Συγγραφείς: Dhongade, Amey Makarand, Wu, Ching-Seh

Πηγή: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026 International Conference on. :1-6 Feb, 2026

Relation: 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)