Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda

C Suraña‐Sánchez… - International Journal of …, 2024 - Wiley Online Library
This study, through a bibliometric analysis, aims to provide increased knowledge of the
evolution and effects of artificial intelligence over the last 30 years in customer engagement …

From artificial intelligence (AI) to intelligence augmentation (IA): Design principles, potential risks, and emerging issues

L Zhou, C Rudin, M Gombolay, J Spohrer… - AIS Transactions on …, 2023 - aisel.aisnet.org
We typically think of artificial intelligence (AI) as focusing on empowering machines with
human capabilities so that they can function on their own, but, in truth, much of AI focuses on …

Conversational ai: An explication of few-shot learning problem in transformers-based chatbot systems

M Ahmed, HU Khan, EU Munir - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the recent advancements in conversational artificial intelligence (AI), the practical
applications of chatbots have risen significantly in diverse domains such as healthcare …

A novel marine predators algorithm with adaptive update strategy

T Chen, Y Chen, Z He, E Li, C Zhang… - The Journal of …, 2023 - Springer
The marine predators algorithm (MPA) is a metaheuristic algorithm for solving optimization
problems. MPA divides the whole optimization process into three phases evenly, and each …

CTDM: Cryptocurrency abnormal transaction detection method with spatio-temporal and global representation

L Xiao, D Han, D Li, W Liang, C Yang, KC Li… - Soft Computing, 2023 - Springer
With the rapid advances in computing and networking technologies, there have led to the
creation of a novel and booming set of payment services, known as cryptocurrencies or …

Comprehensive framework for implementing blockchain-enabled federated learning and full homomorphic encryption for chatbot security system

NA Jalali, C Hongsong - Cluster Computing, 2024 - Springer
Chatbot is an artificial intelligence application that can provide a conversational environment
between humans and machines. Most organizations and industries are willing to lay out …

[HTML][HTML] Network abnormal traffic detection method based on fusion of chord similarity and multiple loss encoder

X Lv, D Han, D Li, L Xiao, CC Chang - EURASIP Journal on Wireless …, 2022 - Springer
Fog computing, as a new distributed computing framework, extends the tasks originally done
in the cloud data center to the edge of the network and brings more serious security …

Cognitive hexagon-controlled intelligent speech interaction system

H Chaurasiya - IEEE Transactions on Cognitive and …, 2022 - ieeexplore.ieee.org
Several intelligent speech interaction (ISI) systems have emerged over the past four
decades that have served the human community. The research papers show that these …

Thai-language chatbot security: Detecting instruction attacks with XLM-RoBERTa and Bi-GRU

V Vajrobol, BB Gupta, A Gaurav - Computers and Electrical Engineering, 2024 - Elsevier
Instruction attack is a malicious attempt to manipulate a chatbot by providing misleading or
harmful prompts to achieve unintended outcomes. Detecting instruction attacks is crucial to …

MGCRL: Multi-view graph convolution and multi-agent reinforcement learning for dialogue state tracking

Z Huang, F Li, J Yao, Z Chen - Neural Computing and Applications, 2024 - Springer
Dialogue state tracking (DST) is a significant part of prevalent task-oriented dialogue
systems, which monitor the user's goals based on current and previous dialogues for …