Data collection in MI-assisted wireless powered underground sensor networks: Directions, recent advances, and challenges

G Liu - IEEE Communications Magazine, 2021 - ieeexplore.ieee.org
Wireless underground sensor networks (WUSNs) facilitate remote monitoring and control of
various underground environments, which are suffering from a significant reliability problem …

A survey of maritime unmanned search system: Theory, applications and future directions

J Li, G Zhang, C Jiang, W Zhang - Ocean Engineering, 2023 - Elsevier
The rising frequency of ocean activities, such as ocean transportation and marine resources
development, inevitably leads to a higher incidence of sudden accidents at sea. Maritime …

[HTML][HTML] Machine learning for advanced energy materials

Y Liu, OC Esan, Z Pan, L An - Energy and AI, 2021 - Elsevier
The screening of advanced materials coupled with the modeling of their quantitative
structural-activity relationships has recently become one of the hot and trending topics in …

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

Application of machine learning in water resources management: A systematic literature review

F Ghobadi, D Kang - Water, 2023 - mdpi.com
In accordance with the rapid proliferation of machine learning (ML) and data management,
ML applications have evolved to encompass all engineering disciplines. Owing to the …

How to maximize clicks for display advertisement in digital marketing? A reinforcement learning approach

V Singh, B Nanavati, AK Kar, A Gupta - Information Systems Frontiers, 2023 - Springer
One of the core challenges in digital marketing is that the business conditions continuously
change, which impacts the reception of campaigns. A winning campaign strategy can …

[HTML][HTML] An adaptive reinforcement learning-based multimodal data fusion framework for human–robot confrontation gaming

W Qi, H Fan, HR Karimi, H Su - Neural Networks, 2023 - Elsevier
Playing games between humans and robots have become a widespread human–robot
confrontation (HRC) application. Although many approaches were proposed to enhance the …

A survey on machine learning techniques for routing optimization in SDN

R Amin, E Rojas, A Aqdus, S Ramzan… - IEEE …, 2021 - ieeexplore.ieee.org
In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …

Coverage path planning for maritime search and rescue using reinforcement learning

B Ai, M Jia, H Xu, J Xu, Z Wen, B Li, D Zhang - Ocean Engineering, 2021 - Elsevier
In maritime search and rescue (SAR), the planning of the search path will directly affect the
efficiency of searching for people overboard in the search area. However, traditional SAR …

A comprehensive survey on hardware-aware neural architecture search

H Benmeziane, KE Maghraoui, H Ouarnoughi… - arXiv preprint arXiv …, 2021 - arxiv.org
Neural Architecture Search (NAS) methods have been growing in popularity. These
techniques have been fundamental to automate and speed up the time consuming and error …