[HTML][HTML] Artificial intelligence empowered conversational agents: A systematic literature review and research agenda
MM Mariani, N Hashemi, J Wirtz - Journal of Business Research, 2023 - Elsevier
Consumer research on conversational agents (CAs) has been growing. To illustrate and
map out research in this field, we conducted a systematic literature review (SLR) of …
map out research in this field, we conducted a systematic literature review (SLR) of …
GAN-based anomaly detection: A review
X Xia, X Pan, N Li, X He, L Ma, X Zhang, N Ding - Neurocomputing, 2022 - Elsevier
Supervised learning algorithms have shown limited use in the field of anomaly detection due
to the unpredictability and difficulty in acquiring abnormal samples. In recent years …
to the unpredictability and difficulty in acquiring abnormal samples. In recent years …
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0
Industry 4.0 focuses on the realization of smart manufacturing based on cyber-physical
systems (CPS). However, emerging Industry 5.0 and Society 5.0 reaches beyond CPS and …
systems (CPS). However, emerging Industry 5.0 and Society 5.0 reaches beyond CPS and …
Error metrics and performance fitness indicators for artificial intelligence and machine learning in engineering and sciences
Artificial intelligence (AI) and Machine learning (ML) train machines to achieve a high level
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …
of cognition and perform human-like analysis. Both AI and ML seemingly fit into our daily …
[HTML][HTML] Comparing different supervised machine learning algorithms for disease prediction
Supervised machine learning algorithms have been a dominant method in the data mining
field. Disease prediction using health data has recently shown a potential application area …
field. Disease prediction using health data has recently shown a potential application area …
IoT, big data, and artificial intelligence in agriculture and food industry
Internet of Things (IoT) results in a massive amount of streaming data, often referred to as
“big data,” which brings new opportunities to monitor agricultural and food processes …
“big data,” which brings new opportunities to monitor agricultural and food processes …
Causability and explainability of artificial intelligence in medicine
A Holzinger, G Langs, H Denk… - … Reviews: Data Mining …, 2019 - Wiley Online Library
Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the
problem of explainability is as old as AI itself and classic AI represented comprehensible …
problem of explainability is as old as AI itself and classic AI represented comprehensible …
A review of android malware detection approaches based on machine learning
K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …
malware is also emerging in an endless stream. Many researchers have studied the …
[HTML][HTML] A systematic review of teaching and learning machine learning in K-12 education
The increasing attention to Machine Learning (ML) in K-12 levels and studies exploring a
different aspect of research on K-12 ML has necessitated the need to synthesize this existing …
different aspect of research on K-12 ML has necessitated the need to synthesize this existing …