CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community

Y Liu, B Guo, N Li, Y Ding, Z Zhang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence of Things (AIoT) is an emerging frontier based on the deep fusion of
Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The fundamental goal of …

Research on Multi-Feature Fusion False Review Detection Based on DynDistilBERT-BiLSTM-CNN

J Zhang, K Huang, D Lang, Y Xu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the rapid expansion of e-commerce and social media platforms, the prevalence of fake
reviews has become increasingly problematic, misleading consumers and harming both the …

Sparse Mobile Crowdsensing for Gas Monitoring in Coal Mine Working Face

J Zhang, L Han, B Guo - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Gas disaster is one of the major disasters faced by coal mines, and more than 50 in the
working face. However, due to the small number of gas monitoring sensors and the heavy …

DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT

S Fu, F Dong, D Shen, R Chen, J Hao - ACM Transactions on Intelligent …, 2024 - dl.acm.org
The Artificial Intelligence of Things (AIoT) is an emerging technology that enables numerous
AIoT devices to participate in big data analytics and machine learning (ML) model training …

Combining Federated Learning and Control: A Survey

J Weber, M Gurtner, A Lobe, A Trachte… - arXiv preprint arXiv …, 2024 - arxiv.org
This survey provides an overview of combining Federated Learning (FL) and control to
enhance adaptability, scalability, generalization, and privacy in (nonlinear) control …

Generative AI for Low-Carbon Artificial Intelligence of Things

J Wen, R Zhang, D Niyato, J Kang, H Du… - arXiv preprint arXiv …, 2024 - arxiv.org
By integrating Artificial Intelligence (AI) with the Internet of Things (IoT), Artificial Intelligence
of Things (AIoT) has revolutionized many fields. However, AIoT is facing the challenges of …

Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT

T Ling, C Qian, G Schiele - arXiv preprint arXiv:2407.11041, 2024 - arxiv.org
This paper presents the design of a hardware accelerator for Transformers, optimized for on-
device time-series forecasting in AIoT systems. It integrates integer-only quantization and …

Construction and Improvement Path of Digital Literacy Evaluation Model for Higher Vocational Teachers Based on Deep Learning and Soft Computing

G Chen - International Journal of e-Collaboration (IJeC), 2024 - igi-global.com
In view of the rapid development of information technology, the cultivation and promotion of
digital literacy of higher vocational teachers has become an important issue in the field of …

[PDF][PDF] SwarmOptStream: A Comprehensive Review on Swarm Optimization Techniques for Cross-Device Adaptation in Video Streaming

K Khan - ijmrap.com
As the consumption of video content continues to diversify across a multitude of devices with
varying screen sizes, resolutions, and processing capabilities, ensuring a seamless and …