Results 31 to 40 of about 807 (71)

Deterministic wave prediction for unidirectional sea-states in real-time using Artificial Neural Network

, 2020
Short-term deterministic wave prediction has gained increasing interest recently. This paper presents a framework on the use of data-driven model based on Artificial Neural Network (ANN) in predicting the spatial–temporal evolution of wavefields in real ...
Y. Law, H. Santo, K. Y. Lim, E. Chan
semanticscholar   +1 more source

Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches

Neural Networks, 2020
Hybrid artificial intelligence deals with the construction of intelligent systems by relying on both human knowledge and historical data records. In this paper, we approach this problem from a neural perspective, particularly when modeling and simulating
Gonzalo Nápoles, A. Jastrzębska, Carlos Mosquera, K. Vanhoof, W. Homenda   +4 more
semanticscholar   +1 more source

Vehicular Network Edge Intelligent Management : A Deep Deterministic Policy Gradient Approach for Service Offloading Decision

International Conference on Wireless Communications and Mobile Computing, 2020
The development of edge computing has alleviated the problem of limited vehicular computing capabilities in VANET. The vehicular edge computing (VEC) provide resources for the implementation of multiple intelligent services.
Yinlin Ren, Xiuming Yu, Xingyu Chen, Shaoyong Guo, Xue-song Qiu   +4 more
semanticscholar   +1 more source

Det(Com)2: Deterministic Communication and Computation Integration Toward AIGC Services

IEEE wireless communications
As an emerging intelligence paradigm, artificial intelligence generated content (AIGC) is envisioned to be a key technique for Internet of intelligence, which inevitably puts forward higher requirements for the network capability from both the forwarding
Weiting Zhang, Nian Tang, Dong Yang, R. Guo, Hongke Zhang, Xuemin Shen   +5 more
semanticscholar   +1 more source

Toward Deterministic Path Placement in AI Backends: A Practical SRv6-Based Architecture

Conference on Network and Service Management
Distributed training of artificial intelligence models, such as Large Language Models (LLMs), generates highly structured and intense traffic patterns between GPUs, with synchronous and repetitive flows that can easily cause congestion and bottlenecks in
Clarence Filsfils, P. Camarillo, A. Abdelsalam, Arianna Quinci, Angelo Tulumello, A. Mayer, P. Loreti, Lorenzo Bracciale, Stefano Salsano   +8 more
semanticscholar   +1 more source

DetFed: Dynamic Resource Scheduling for Deterministic Federated Learning Over Time-Sensitive Networks

IEEE Transactions on Mobile Computing
In this paper, we present a three-layer (i.e., device, field, and factory layers) deterministic federated learning (FL) framework, named DetFed, which accelerates collaborative learning process for ultra-reliable and low-latency industrial Internet of ...
Dong Yang, Weiting Zhang, Qiang Ye, Chuan Zhang, N. Zhang, C. Huang, Hongke Zhang, Xuemin Shen   +7 more
semanticscholar   +1 more source

Solving the production transportation problem via a deterministic annealing neural network method

Applied Mathematics and Computation, 2021
Zhengtian Wu, Q. Gao, Baoping Jiang, H. Karimi   +3 more
semanticscholar   +1 more source

Deterministic and Dynamic Joint Placement and Scheduling of VNF-FGs for Remote Robotic Surgery

IEEE Transactions on Network and Service Management
During a Remote Robotic Surgery (RRS) session, multimodal data traffic with different requirements is initiated. In order to achieve a cost-effective deployment of such a system, it is crucial to tailor resource allocation policies based on the different
Amina Hentati, Amin Ebrahimzadeh, R. Glitho, F. Belqasmi, R. Mizouni   +4 more
semanticscholar   +1 more source

Bilevel Optimization for Provisioning Heterogeneous Traffic in Deterministic Networks

IEEE Transactions on Network and Service Management
Due to the capabilities of providing extremely low packet loss and bounded end-to-end latency, deterministic networking (DetNet) has been considered as a promising technology for emerging time-sensitive applications (e.g., industrial control and smart ...
Jing Zhu, Dan-Ping Wang, Jiao Xing, Shuxin Qin, Gaofeng Tao, Pingping Chen, Zuqing Zhu   +6 more
semanticscholar   +1 more source

An Enhanced Reconfiguration for Deterministic Transmission in Time-Sensitive Networks

IEEE Transactions on Network and Service Management
Time-aware shaper (TAS) is key to enabling deterministic guarantees in time-sensitive networks (TSN), but it requires precise configuration for specific traffic scenarios.
Mengjie Guo, Guochu Shou, Yaqiong Liu, Yihong Hu   +3 more
semanticscholar   +1 more source