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Now showing items 71-80 of 264
Improved cooperative Ant Colony Optimization for the solution of binary combinatorial optimization applications
(John Wiley & Sons, 2024)
[Abstract]: Binary combinatorial optimization plays a crucial role in various scientific and engineering fields. While deterministic approaches have traditionally been used to solve these problems, stochastic methods, ...
Analysis and evaluation of MapReduce solutions on an HPC cluster
(Pergamon Press, 2016-02)
[Abstract] The ever growing needs of Big Data applications are demanding challenging capabilities which cannot be handled easily by traditional systems, and thus more and more organizations are adopting High Performance ...
Automated Approach for Accurate CPU Power Modelling
(IEEE, 2024)
[Abstract]: Power supply is a limiting factor when increasing the computing capacity of supercomputers. As a consequence, power consumption has become one of the biggest challenges in the field of High Performance Computing ...
Cryptic diversity and phylogeographic patterns of Mediodactylus species in the Eastern Mediterranean region
(Academic Press Inc., 2024-08)
[Abstract]: Cryptic diversity poses a great obstacle in our attempts to assess the current biodiversity crisis and may hamper conservation efforts. The gekkonid genus Mediodactylus, a well-known case of hidden species and ...
PlayNet: real-time handball play classification with Kalman embeddings and neural networks
(Springer, 2024)
[Abstract] Real-time play recognition and classification algorithms are crucial for automating video production and live broadcasts of sporting events. However, current methods relying on human pose estimation and deep ...
Real-time classification of handball game situations
(IEEE, 2022)
[Abstract]: During the broadcast of sporting events, certain situations such as a penalty or a time-out occur, for which a specific action is required. In traditional broadcasting, many people are implied in making decisions ...
Applying dynamic balancing to improve the performance of MPI parallel genomics applications
(Association for Computing Machinery (ACM), 2024-05-21)
[Absctract]: Genomics applications are becoming more and more important in the field of bioinformatics, as they allow researchers to extract meaningful information from the huge amount of data generated by the new sequencing ...
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
(Elsevier, 2024-03)
[Abstract]: Over the years metaheuristics have been successfully applied to optimization problems in many real-world applications. The increasing complexity and scale of the problems addressed has posed new challenges to ...
Ensemble and continual federated learning for classification tasks
(Springer, 2023-09)
[Abstract]: Federated learning is the state-of-the-art paradigm for training a learning model collaboratively across multiple distributed devices while ensuring data privacy. Under this framework, different algorithms have ...
Multistage strategy for ground point filtering on large-scale datasets
(Springer, 2024-08)
[Abstract]: Ground point filtering on national-level datasets is a challenge due to the presence of multiple types of landscapes. This limitation does not simply affect to individual users, but it is in particular relevant ...
