[HTML][HTML] The personal health applications of machine learning techniques in the internet of behaviors

Z Amiri, A Heidari, M Darbandi, Y Yazdani… - Sustainability, 2023 - mdpi.com
With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the
medical and healthcare fields are utilizing machine learning (ML) methodologies in …

Intrusion detection using federated attention neural network for edge enabled internet of things

X Song, Q Ma - Journal of Grid Computing, 2024 - Springer
Edge nodes, which are expected to grow into a multi-billion-dollar market, are essential for
detection against a variety of cyber threats on Internet-of-Things endpoints. Adopting the …

[HTML][HTML] Efficiently guiding k-robots along pathways with minimal turns

H Hoorfar, N Taheri, H Kosarirad… - … Transactions on AI and …, 2023 - publications.eai.eu
INTRODUCTION: This paper addresses the navigation of a team of k protector robots within
pathways, focusing on minimizing the total number of turns. These robots utilize orthogonal …

Concealing robots in environments: enhancing navigation and privacy through stealth integration

H Hoorfar, H Kosarirad, N Taheri… - … Transactions on AI …, 2023 - publications.eai.eu
With the continuous advancement of robotics technology, the integration of robots into
diverse human environments has become increasingly prevalent. However, the presence of …

Markovian with Federated Deep Recurrent Neural Network for Edge—IoMT to Improve Healthcare in Smart Cities

Y Gai, Y Liu, M Li, S Yang - Journal of Grid Computing, 2024 - Springer
The architectural design of smart cities should prioritize the provision of critical medical
services. This involves establishing improved connectivity and leveraging supercomputing …

[HTML][HTML] The disruptive potential of importance-performance eduruption and transforming consumerism in single-used plastic reduction initiatives

IWK Suryawan, L Fitria, N Ulhasanah… - Cleaner and …, 2024 - Elsevier
In an era demanding sustainable consumption, the challenge of single-used plastic (SUP)
remains significant. This study delves into the transformative capacity of the Importance …

[HTML][HTML] Method of Attention-Based CNN for Weighing Pleurotus eryngii

J Jia, F Hu, X Zhang, Z Ben, Y Wang, K Chen - Agriculture, 2023 - mdpi.com
Automatic weight detection is an essential step in the factory production of Pleurotus eryngii.
In this study, a data set containing 1154 Pleurotus eryngii images was created, and then …

Virtual Machine Allocation in Cloud Computing Environments using Giant Trevally Optimizer

Z Hai-yu - … Journal of Advanced Computer Science and …, 2023 - search.proquest.com
Cloud computing has gained prominence due to its potential for computational tasks, but the
associated energy consumption and carbon emissions remain significant challenges …

Optimizing Brain-Computer Interface Performance: Advancing EEG Signals Channel Selection through Regularized CSP and SPEA II Multi-Objective Optimization

MM Esfahani, H Sadati, VD Calhoun - arXiv preprint arXiv:2405.00721, 2024 - arxiv.org
Brain-computer interface systems and the recording of brain activity has garnered significant
attention across a diverse spectrum of applications. EEG signals have emerged as a …

Efficient trajectory optimization and resource allocation in UAV 5G networks using dueling-Deep-Q-Networks

J Xu - Wireless Networks, 2023 - Springer
With the advancements in fifth-generation (5G) network slicing technology and the
proliferation of intelligent devices, the Internet of Things (IoT) has gained significant …