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Urological telesurgery after the first randomised trial: a scoping review and public implementation visibility audit. [PDF]

J Robot Surg
Drobot RB, Skorupka JJ, Antoniewicz AA.
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Artificial Neural Network-Driven Healthcare Resource Management for Improved Outcomes in Infectious Disease Control

2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG), 2023
The efficient administration of healthcare resources is crucial for successful infectious disease control. The merging of technology and medicine has opened the path for revolutionary changes in today's healthcare system. Artificial Neural Networks (ANNs)
T. Mothilal, Srinivas Aluvala, Dept. of Mechanical Engineering V. Paranthaman Professor, S.Socrates   +3 more
semanticscholar   +1 more source

Multi Agent Deep Reinforcement learning with Deep Q-Network based energy efficiency and resource allocation in NOMA wireless Systems

International Conference on Electrical Engineering and Information Communication Technology, 2023
In recent years, there has been an increase in demand for wireless cellular networks to have higher capacity. Operating costs have increased because operators use more energy to build new cell sites or boost the transmission power at existing locations ...
Ramesh Chandra, Research Scholor, B. D. O. E. Assosciate Professor b a, Somasekhar Borugadda   +3 more
semanticscholar   +1 more source

Deep Reinforcement Learning for Resource Management in Blockchain-Enabled Federated Learning Network

IEEE Networking Letters, 2022
Blockchain-enabled Federated Learning (BFL) enables model updates to be stored in blockchain in a reliable manner. However, one problem is the increase of the training latency due to the mining process.
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong, D. Niyato, D. Kim, E. Elmroth   +5 more
semanticscholar   +1 more source

Placement of network resources in communication networks

Computer Networks, 2003
Data communication and telecommunication networks consist of nodes, links and network resources. Many studies have dealt with the design of optimal network topologies. In current methodologies, every node presents the same constraints and behavior, however, in reality, the network resources vary. The research problem at stake here is how to add central
Ran Giladi, Ephraim Korach, Rony Ohayon
openaire   +1 more source

Improving Access to Network Resources in IoT Networks

2020 International Conference on COMmunication Systems & NETworkS (COMSNETS), 2020
The Internet of Things has made a large footprint in fields like safety, security, healthcare, asset management, environment monitoring and industry automation. The IEEE 802.15.4 standard is a major technology of choice for maintaining connectivity in such applications.
Kaumudi Singh, Tamma V. Prabhakar, Joy Kuri   +2 more
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Energy-Efficient Multiprocessor-Based Computation and Communication Resource Allocation in Two-Tier Federated Learning Networks

IEEE Internet of Things Journal, 2023
In conventional federated learning (FL), multiple edge devices holding local data jointly train a machine learning model by communicating learning updates with a centralized aggregator without exchanging their data samples. Owing to the communication and
Rukhsana Ruby, Hailiang Yang, F. D. de Figueiredo, Thien Huynh-The, Kaishun Wu   +4 more
semanticscholar   +1 more source

Resource flow network generation algorithm in robust project scheduling

Journal of the Operational Research Society, 2020
The research of project scheduling based on resource flow network provides a new approach for studying project scheduling. And the stability of resource flow network also directly affects the performance of robust scheduling.
Yingling Shi, Huifang Su, Nansheng Pang
semanticscholar   +1 more source