Generative artificial intelligence (AI) is transforming graduate research and academic work; however, increased use does not necessarily lead to critical evaluation or responsible engagement. This study examines the gap between graduate students’ AI use and their evaluative, ethical, and rhetorical engagement with AI-g...
Marina Falasca· American Journal of STEM Edu...· 0 citations
This article presents a comprehensive transdisciplinary review of the ways in which artificial intelligence(AI) and immersive technologies are transforming foundational concepts of authorship, ethics, and creativitywithin contemporary architecture and spatial design. The traditional notion of the architect as a...
Наталія Сергіївна Вергунова· Journal of Architectural/Pla...· 0 citations
The rapid evolution of Industry 4.0 and 5.0 demands flexible manufacturing systems that move beyond traditional rigid automation. This paper presents an integrated framework for Autonomous Mobile Manipulators (AMMs) driven by Edge Artificial Intelligence (AI) and advanced computer vision. By combining simultaneous loca...
Neenu Ann Sunny· Zenodo (CERN European Organi...· 0 citations
Have you ever used AI in your math classes, and/or school and academic activities? It is known that AI in Education has emerged as a driving factor in transforming thoughts. The objective is to identify whether AI has influenced the teaching and learning processes of mathematics in basic education, based on statements...
MARIA JOSÉ COSTA DOS SANTOS, Liane Garcia Pinheiro Lemos, Francisco Djnnathan da Silva Gonçalves et al.· Revista Internacional Educon· 0 citations
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In the era of artificial intelligence (AI), sustainable education requires not only the integration of advanced technologies but also the cultivation of key competencies such as critical thinking. This study investigates English major students’ engagement with generative AI tools in translation learning, focusing on th...
Zhenyuan Chen· Studies in English Language...· 0 citations
An AI-Based Smart Honeypot System for Cyberattack Intelligence that combines machine learning, behavioral analysis, and deception techniques for detecting malicious activities in real time and shows improved detection accuracy with reduced false positives.
Jakkamreddy Damodhar Reddy, A. M, Gottipati Pavan Kumar· International Journal of Tec...· 0 citations
Background: The integration of artificial intelligence (AI) and machine learning into accounting and auditing has transformed the creation, validation, and application of professional knowledge, raising questions about the legitimacy of algorithmic knowledge in accounting practice. Objective: This study examines the ep...
Elsa Imelda, Ivan Kanel, Rousilita Suhendah et al.· Inkubis Jurnal Ekonomi dan B...· 0 citations
Safe water management requires rapid and highly sensitive analytical platforms capable of detecting contaminants in complex environmental matrices. Nanozymes are nanomaterials with enzyme-mimicking catalytic activity that offer remarkable advantages for field-deployable sensing, including stability and compatibility...
Eslam M. Hamed, S. F. Y. Li· ACS ES&T Water· 0 citations
Abstract Artificial intelligence (AI) has the potential to address workforce shortages and workflow inefficiencies in radiation oncology, particularly in low-resourced settings where limited specialist capacity constrains access to care. This systematic review evaluated AI deployments in radiation oncology in low- and...
Doris Keziah Ndassi, Solomon Kibudde, Sizhuo Meng et al.· npj Digital Medicine· 0 citations
Generative artificial intelligence (GenAI) is increasingly embedded in the everyday work of statisticians and other quantitative scientists, yet practical experience often advances faster than formal guidance on where these tools add value and where they create new risks. This manuscript synthesizes a moderated discuss...
Victoria L Prince· Zenodo (CERN European Organi...· 0 citations
This study examines Technology Education Students Perceptions of ChatGPT use in distance learning, focusing on its benefits, ease of use, and risks. The study employs a descriptive quantitive approach. The participants are Technology Education students who have experience using ChatGPT for learning activities. Data are...
Ida Royanti, Vendyah Trisnaningtyas· Edumaspul - Jurnal Pendidika...· 0 citations
Dynamic Time Warping (DTW)-based Nearest-Neighbor (NN) classifiers are effective for time-series classification but are vulnerable to mislabeled training samples and require numerous DTW computations during inference. We propose DTW-based Granular Ball Computing (DTW-GBC), which organizes temporally similar training sa...