Results 61 to 70 of about 8,757 (254)

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

Advanced Intelligent Systems, EarlyView.
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti, Idilio Drago, Anisa Rula, Devis Bianchini, Federico Cerutti   +4 more
wiley   +1 more source

Design and implementation of geographic information system with mobile terminal and 5G network

IET Networks, EarlyView., 2022
Abstract Remote insurance mainly completes quotation, insurance application and payment through the PC terminal and mobile terminal, and the premium directly enters the insurance account. This article takes remote insurance as an example. First, it analyses the requirements of the remote insurance and insurance system, and then collects data from the ...
Huijun Xiao, Tangsen Huang, Ensong Jiang
wiley   +1 more source

Innovative Artificial Intelligence‐Assisted Systems for Social Science Research: Architecture Design and Applied Practice

AI &Innovation, EarlyView.
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley   +1 more source

Features requirement elicitation process for designing a chatbot application

IET Networks, EarlyView., 2022
This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari, Puteri N. E. Nohuddin, Ahmad Hanif Ahmad Baharin, Noor Azuddin Yakob, Mohammad Javad Ebadi   +4 more
wiley   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

A scoping review of electronic health records interoperability levels, expectations, approaches, and problems

Health Informatics Journal
To achieve useful interoperability between electronic health record (EHR) systems, many approaches have been proposed. To date, none has prevailed as a clear solution. This scoping review studies 24 publications from 2014 to 2023.
Raghid El-Yafouri, Leslie Klieb
doaj   +1 more source

Interoperability of health data using FHIR Mapping Language: transforming HL7 CDA to FHIR with reusable visual components

Frontiers in Digital Health
IntroductionEcosystem-centered healthcare innovations, such as digital health platforms, patient-centric records, and mobile health applications, depend on the semantic interoperability of health data.
Igor Bossenko, Rainer Randmaa, Gunnar Piho, Peeter Ross, Peeter Ross   +4 more
doaj   +1 more source

Analysis of interstitial lung disease in pharmacovigilance databases: Coding challenges and interpretation biases—An update

British Journal of Clinical Pharmacology, EarlyView.
Aim Clinically, interstitial lung disease (ILD) is a heterogeneous group of respiratory disorders. Due to their low incidence, pharmacovigilance database analysis is useful to detect them. Precise diagnosis is challenging as well as coding in these databases. Query criteria are among the key elements for a good signal detection.
Romane Freppel, Adeline Benis, Philippe Bonniaud, Jean‐Luc Faillie, Aurélie Grandvuillemin   +4 more
wiley   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source