过去一年中添加的文章,按日期排序

Energy-Efficient Cooperative Secure Communications in mmWave Vehicular Networks Using Deep Recurrent Reinforcement Learning

Y Ju, Z Gao, H Wang, L Liu, Q Pei… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
55 天前 - … Cooperative communication is envisioned as a promising physical layer security
(PLS) … This paper proposes a deep recurrent reinforcement learning (DRRL)-based energy-…

Machine Learning Attacks on Challenge-Response Obfuscations in Strong PUFs

N Hassan, U Chatterjee - 2024 IEEE International Symposium …, 2024 - ieeexplore.ieee.org
55 天前 - … Zhuang, AO Aseeri, and MS Alkatheiri, “A fast deep learning method for security …
Bhattacharyay, and RS Chakraborty, “Deep learning based model building attacks on …

Reconfigurable Intelligent Surface-Assisted Key Generation for Millimetre-Wave Multi-User Systems

T Lu, L Chen, J Zhang, C Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
57 天前 - … Abstract—Physical layer key generation (PLKG) leverages … differ, we design a
deep-learning-based power allocation … Furthermore, a deeplearning network is proposed to …

Analysis Method of Special Physical Training Mode of Basketball Teams in Colleges Based on WeChat Applet and FTTA Optimised LSTM

G Chen, S Zhang - EAI Endorsed Transactions on Pervasive …, 2024 - publications.eai.eu
57 天前 - … proposes a basketball special physical training mode analysis method based on
WeChat applet and optimization algorithm to improve the deep learning network. METHODS: …

Cushion gas effects on hydrogen storage in porous rocks: Insights from reservoir simulation and deep learning

S Mao, B Chen, M Morales, M Malki… - International Journal of …, 2024 - Elsevier
58 天前 - … rocks by integrating reservoir simulation and deep learning. Firstly, we conducted
8,000 … Secondly, we developed a unified reduced-order model (ROM) using deep learning

Physically Interpretable Wavelet-Guided Networks With Dynamic Frequency Decomposition for Machine Intelligence Fault Prediction

H Wang, YF Li, T Men, L Li - IEEE Transactions on Systems …, 2024 - ieeexplore.ieee.org
59 天前 - … for deep learning interpretability analysis. The approach involves utilizing a signal
analysis method that has physical … and learning mechanism of its frequency feature learning. …

Personalized Privacy-Preserving Distributed Artificial Intelligence for Digital-Twin-Driven Vehicle Road Cooperation

K Sun, J Wu, AK Bashir, J Li, H Xu… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
59 天前 - … framework is as follows: In the physical layer, vehicles perceive the surrounding …
physical layer, including autonomous driving, video, smart parking, path planning, etc. …

A Transfer Learning Framework for Facial Emotion Recognition: Leveraging Pre-Trained Convolutional Neural Networks

K Desai, HN Patel, D Dashlaniya… - … on Advancement in …, 2024 - ieeexplore.ieee.org
59 天前 - … exceptional performance in heavy task like deep learning applications, and it played
an … training of deep learning models. Furthermore, by tacking traditional machine learning

Auxiliary Dense Layered LeNet Deep Learning based Mango Variety Classification

MS Devi, G Janani, JM Fernandes… - … on Advancement in …, 2024 - ieeexplore.ieee.org
59 天前 - … An effective deep learning framework for fruit classification is proposed by M. Shamim
… of deep learning serve as the foundation for the system. The first is a six-layer CNN light …

Classification of Microglial cells using Deep learning techniques

P Chitra, YB Vedha, SJR Samuel… - … on Advancement in …, 2024 - ieeexplore.ieee.org
59 天前 - … from pathogenic factors, a layer of endothelial cells [4]. Image classification using
deep learning is a popular technique … This technique will use Deep learning models, such as …