过去一年中添加的文章,按日期排序

Volcanic disaster scene classification of remote sensing image based on deep multi-instance network

C Li, J Han, C Wu, L Liu, X Liu, J Zhao - Acta Geophysica, 2024 - Springer
2 天前 - … In this study, a deep multi-instance network model named MI-STA for classification
of volcanic disaster scene from remote sensing image is implemented over the xBD dataset …

Intelligent Healthcare System Using Emerging Technologies: A Comprehensive Survey

S Mohapatra, S Mohanty, SK Maharana… - Advances in Distributed … - books.google.com
2 天前 - … which involves the utilization of RFID tags equipped with integrated glucose meters,
allowing seamless communication with an RFID reader through a wireless sensor network. …

Study and Analysis of Supervised Machine Learning Techniques for Human Activity Recognition and Its Implementation Using Smartphones Sensors

PV Jaiverdhan, MM Sharma, H Muthusamy… - Advances in Distributed … - books.google.com
2 天前 - … The sensors in this study were sampled at a frequency of 50 Hz. While increasing
the sampling frequency can enhance detection success, it is generally avoided due to the …

[PDF][PDF] The Extent of Land Use Changes in Nnewi Metropolitan Area, Anambra State and it's Planning Consideration.

OK EGBUNA, EA IYI, EO CHIJIOKE - researchgate.net
2 天前 - … This study focuses on the trend of land use change in Nnewi metropolitan area,
which has accelerated the main driver of land use and land cover change with a concomitant …

Simulation of Optical Communication Technology Based on Wireless Sensor Networks in Museum VR Design

W Guo, H Shen, C Wang - Mobile Networks and Applications, 2024 - Springer
2 天前 - … This article introduces wireless sensor networks and … Through the deployment of
wireless sensor networks, various … The system utilizes wireless sensor networks to collect a …

Reference-free phase retrieval of multimode fibers enhanced by physics-driven neural network

Y Sui, Q Zhang, S Rothe… - Machine Learning in …, 2024 - spiedigitallibrary.org
2 天前 - … In this study, we incorporate the physics principle of mode superposition into
neural networks for mode decomposition. This integration eliminates the need for an extensive …

ChangeViT: Unleashing Plain Vision Transformers for Change Detection

D Zhu, X Huang, H Huang, Z Shao, Q Cheng - arXiv preprint arXiv …, 2024 - arxiv.org
2 天前 - … Therefore, this paper aims to study the potential benefits of ViTs for change
detection, striving to unleash their effectiveness in this area. To assess the efficacy of ViTs in the …

Efficient segmentation and 1D-CNN model optimization for recognizing human actions with mobile sensors

KK Thyagharajan, G Kalaiarasi, P Saravanan… - AIP Conference …, 2024 - pubs.aip.org
2 天前 - … The results of this study show that our method performs equally well compared to
other state-of-the-art methods in terms of recognition accuracy but with a smaller network and …

Some new combination of SSP graphs

R Jothi, E Roslin - AIP Conference Proceedings, 2024 - pubs.aip.org
2 天前 - … Some of the challenges in Wireless sensor network (WSN) are inadequate source
of the battery and reckoning capability. Significant study has been supported out to get the …

Urban Scale Vehicle-To-Building-To-Grid Integration Leveraging Human Mobility Modeling

Y LIU - 2024 - surface.syr.edu
2 天前 - … This study examines the effects of Electric Vehicle (EV) charging/discharging
behaviors, informed by human mobility, on the flexibility of grid distribution networks and the …