Two new algorithms can help find networks within dynamic systems, with applications in financial, biological, engineered, and social networks.

Graph algorithms and network analysis form the backbone of modern computational techniques used to decode the complex structures and dynamic behaviours exhibited by diverse real-world networks ...

Network Design Problems and Algorithms Publication Trend The graph below shows the total number of publications each year in Network Design Problems and Algorithms.

Richard M. Karp, Rajeev Motwani, Noam Nisan, Probabilistic Analysis of Network Flow Algorithms, Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 71-97 ...

Niki Trigoni, Bhaskar Krishnamachari, Introduction: Sensor network algorithms and applications, Philosophical Transactions: Mathematical, Physical and Engineering Sciences, Vol. 370, No. 1958, Sensor ...

By using a neural network-based decoupling algorithm, the team was able to resolve spectral interference within the existing system, reducing both the complexity and cost of the design.

Data quality is regarded as the cornerstone of AI optimization. The head of the company's technical team pointed out that noise and missing values in raw data can directly impact the training ...

A new approach to disentangling the complexities of biological networks, such as the way in which proteins interact in our body's cells has been developed. The new algorithm could allow biologists ...

Shanghai Qingshan Buyu Network often puts significant effort into adjusting parameters, such as increasing or d ...

Artificial neural networks, the underlying structure of deep learning algorithms, roughly mimic the physical structure of the human brain.