ChatGPT for education and research: Opportunities, threats, and strategies
MM Rahman, Y Watanobe - Applied Sciences, 2023 - mdpi.com
In recent years, the rise of advanced artificial intelligence technologies has had a profound
impact on many fields, including education and research. One such technology is ChatGPT …
impact on many fields, including education and research. One such technology is ChatGPT …
A survey of learning-based automated program repair
Automated program repair (APR) aims to fix software bugs automatically and plays a crucial
role in software development and maintenance. With the recent advances in deep learning …
role in software development and maintenance. With the recent advances in deep learning …
Educational data mining to support programming learning using problem-solving data
MM Rahman, Y Watanobe, T Matsumoto… - IEEE …, 2022 - ieeexplore.ieee.org
Computer programming has attracted a lot of attention in the development of information and
communication technologies in the real world. Meeting the growing demand for highly …
communication technologies in the real world. Meeting the growing demand for highly …
A survey on rumor detection and prevention in social media using deep learning
B Pattanaik, S Mandal, RM Tripathy - Knowledge and Information Systems, 2023 - Springer
In the current digital era, massive amounts of unreliable, purposefully misleading material,
such as texts and images, are being shared widely on various web platforms to deceive the …
such as texts and images, are being shared widely on various web platforms to deceive the …
Multimodel phishing url detection using lstm, bidirectional lstm, and gru models
In today's world, phishing attacks are gradually increasing, resulting in individuals losing
valuables, assets, personal information, etc., to unauthorized parties. In phishing, attackers …
valuables, assets, personal information, etc., to unauthorized parties. In phishing, attackers …
Identifying algorithm in program code based on structural features using CNN classification model
Y Watanobe, MM Rahman, MFI Amin, R Kabir - Applied Intelligence, 2023 - Springer
In software, an algorithm is a well-organized sequence of actions that provides the optimal
way to complete a task. Algorithmic thinking is also essential to break-down a problem and …
way to complete a task. Algorithmic thinking is also essential to break-down a problem and …
Impact of practical skills on academic performance: A data-driven analysis
Most academic courses in information and communication technology (ICT) or engineering
disciplines are designed to improve practical skills; however, practical skills and theoretical …
disciplines are designed to improve practical skills; however, practical skills and theoretical …
Novel spatio-temporal continuous sign language recognition using an attentive multi-feature network
Given video streams, we aim to correctly detect unsegmented signs related to continuous
sign language recognition (CSLR). Despite the increase in proposed deep learning …
sign language recognition (CSLR). Despite the increase in proposed deep learning …
Design and implementation of an explainable bidirectional lstm model based on transition system approach for cooperative ai-workers
M Yang, J Moon, S Yang, H Oh, S Lee, Y Kim… - Applied Sciences, 2022 - mdpi.com
Recently, interest in the Cyber-Physical System (CPS) has been increasing in the
manufacturing industry environment. Various manufacturing intelligence studies are being …
manufacturing industry environment. Various manufacturing intelligence studies are being …
Predicting the top-level ontological concepts of domain entities using word embeddings, informal definitions, and deep learning
AGL Junior, JL Carbonera, D Schimidt… - Expert Systems with …, 2022 - Elsevier
Ontology development is a challenging task that encompasses many time-consuming
activities. One of these activities is the classification of the domain entities (concepts and …
activities. One of these activities is the classification of the domain entities (concepts and …