1 citations · 2 across the 6 of their papers we have counts for
6 papers
TinyEcoWeedNet: Edge Efficient Real-Time Aerial Agricultural Weed Detection
Omar H. Khater, Abdul Jabbar Siddiqui, Aiman El-Maleh +1
Deploying deep learning models in agriculture is difficult because edge devices have limited resources, but this work presents a compressed version of EcoWeedNet using structured c…
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks
Yuxiang Wei, Zhuoqi Zeng, Yue Zhong +3
With the advancement of large language models and embodied Artificial Intelligence (AI) in the intelligent transportation scenarios, the combination of them in intelligent transpor…
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
Al Amin, Kamrul Hasan, Sharif Ullah +1
Privacy-preserving and secure data sharing are critical for medical image analysis while maintaining accuracy and minimizing computational overhead are also crucial. Applying exist…
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things
Yuanhang Qi, M. Shamim Hossain
The rapid proliferation of devices in the Internet of Things (IoT) has ushered in a transformative era of data-driven connectivity across various domains. However, this exponential…
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection
Rahatara Ferdousi, Chunsheng Yang, M. Anwar Hossain +3
Recent advancements in cognitive computing, with the integration of deep learning techniques, have facilitated the development of intelligent cognitive systems (ICS). This is parti…
When Metaverses Meet Vehicle Road Cooperation: Multi-Agent DRL-Based Stackelberg Game for Vehicular Twins Migration
Jiawen Kang, Junhong Zhang, Helin Yang +2
Vehicular Metaverses represent emerging paradigms arising from the convergence of vehicle road cooperation, Metaverse, and augmented intelligence of things. Users engaging with Veh…