过去一年中添加的文章，按日期排序
Challenges and Opportunities in IoT-based Software Defined Wireless Networks (SDWN) and the Current State of ML-SDWSNs
D Suresh, R Karthikeyan - … and Optimization Techniques …, 2024 - ieeexplore.ieee.org
112 天前 - … and wireless communication between a body area network … "A typical ML-SDWSN
architecture comprises the three … in machine learning, wireless sensor networks, embedded …
architecture comprises the three … in machine learning, wireless sensor networks, embedded …
Innovative Data Encryption Techniques using AI for Wireless Sensor Actuator Network Security
M Dharmateja, PKP Rama, N Asha… - … Techniques …, 2024 - ieeexplore.ieee.org
112 天前 - … threats that Wireless Sensor Actuator Networks (WSANs) … techniques, the study
combines AI and machine learning to … Wireless Sensor Actuator Network (WSAN) architecture. …
combines AI and machine learning to … Wireless Sensor Actuator Network (WSAN) architecture. …
Real-Time Anomaly Detection in 5G Networks Through Edge Computing
R Shaik, D Raju, PC Behera… - … Techniques in …, 2024 - ieeexplore.ieee.org
113 天前 - … systems in the dynamic field of wireless communication … fog intelligence to build
distributed machine learning … in well with the 5G network's architectural principles, making it a …
distributed machine learning … in well with the 5G network's architectural principles, making it a …
Resource-aware Orchestration of IoT Applications in Edge-Cloud Continuum with 6G
116 天前 - … The anticipated architecture for 6G, referred to as the three… a distributed infrastructure
capable of supporting network … machine learning methods such as Deep Reinforcement …
capable of supporting network … machine learning methods such as Deep Reinforcement …
6G vision on edge artificial intelligence
B Nivetha, P Selvaprabhu, UV Menon… - … in 6G Networks, 2024 - taylorfrancis.com
121 天前 - … within the system in 6G wireless communication, which … be supported instead of
FL architecture. Moreover, it can … of split learning and distributed reinforcement learning is …
FL architecture. Moreover, it can … of split learning and distributed reinforcement learning is …
[图书][B] Blockchains in 6G: A Standardized Approach to Permissioned Distributed Ledgers
M Dohler, DR Lopez, C Wang - 2024 - books.google.com
121 天前 - … principles of blockchains and distributed ledgers; we include an … on blockchain and
distributed ledger technologies. … exposure on the reference architecture and then proceed to …
distributed ledger technologies. … exposure on the reference architecture and then proceed to …
[图书][B] WSN and IoT: An Integrated Approach for Smart Applications
122 天前 - … role of machine learning (ML), artificial intelligence (AI), deep … from sensors in a
wireless, distributed manner. WSNs are … architectures should be used to ensure efficient and …
wireless, distributed manner. WSNs are … architectures should be used to ensure efficient and …
Tang and Song Ink Painting Context to Taoist Philosophy and Mikels Emotion Classification
장금언 - 2024 - repository.hanyang.ac.kr
126 天前 - … , This paper uses deep learning technology to quantify … of Positive and Negative
and the distribution ratio of the two … used in the MobileNet network architecture in terms of the …
and the distribution ratio of the two … used in the MobileNet network architecture in terms of the …
Semi-Supervised Decentralized Machine Learning with Device-to-Device Cooperation
132 天前 - … tremendous attention in mining massive distributed data [6]–[8]. Many current
efforts in distributed machine learning come under the parameter server (PS) architecture [7], …
efforts in distributed machine learning come under the parameter server (PS) architecture [7], …
Federated Learning for IoT/Edge/Fog Computing Systems
135 天前 - … Deep Learning (DL), is a promising technique that is widely applied in numerous
fields. In conventional DL architectures … Learning (FL) as a distributed machine learning (DML) …
fields. In conventional DL architectures … Learning (FL) as a distributed machine learning (DML) …