Zobrazeno 1 - 10
of 570
pro vyhledávání: '"Bouvry, Pascal"'
The design of satellite missions is currently undergoing a paradigm shift from the historical approach of individualised monolithic satellites towards distributed mission configurations, consisting of multiple small satellites. With a rapidly growing
Externí odkaz:
http://arxiv.org/abs/2408.06903
Alongside the continuous process of improving AI performance through the development of more sophisticated models, researchers have also focused their attention to the emerging concept of data-centric AI, which emphasizes the important role of data i
Externí odkaz:
http://arxiv.org/abs/2407.19784
The substantial increase in AI model training has considerable environmental implications, mandating more energy-efficient and sustainable AI practices. On the one hand, data-centric approaches show great potential towards training energy-efficient A
Externí odkaz:
http://arxiv.org/abs/2402.12010
In the domain of multivariate forecasting, transformer models stand out as powerful apparatus, displaying exceptional capabilities in handling messy datasets from real-world contexts. However, the inherent complexity of these datasets, characterized
Externí odkaz:
http://arxiv.org/abs/2401.00230
Autor:
Simón, Manuel Combarro, Talbot, Pierre, Danoy, Grégoire, Musial, Jedrzej, Alswaitti, Mohammed, Bouvry, Pascal
Publikováno v:
In 29th International Conference on Principles and Practice of Constraint Programming. Leibniz International Proceedings in Informatics (LIPIcs), Volume 280, pp. 44:1-44:15, Schloss Dagstuhl - Leibniz-Zentrum f\"ur Informatik (2023)
Satellite imagery solutions are widely used to study and monitor different regions of the Earth. However, a single satellite image can cover only a limited area. In cases where a larger area of interest is studied, several images must be stitched tog
Externí odkaz:
http://arxiv.org/abs/2312.04210
When making strategic decisions, we are often confronted with overwhelming information to process. The situation can be further complicated when some pieces of evidence are contradicted each other or paradoxical. The challenge then becomes how to det
Externí odkaz:
http://arxiv.org/abs/2306.00380
With the advent of the Exascale capability allowing supercomputers to perform at least $10^{18}$ IEEE 754 Double Precision (64 bits) operations per second, many concerns have been raised regarding the energy consumption of high-performance computing
Externí odkaz:
http://arxiv.org/abs/2305.06397
Autor:
Wu, Caesar, Bouvry, Pascal
Publikováno v:
ICOIN 2023
The recent development of artificial intelligence enables a machine to achieve a human level of intelligence. Problem-solving and decision-making are two mental abilities to measure human intelligence. Many scholars have proposed different models. Ho
Externí odkaz:
http://arxiv.org/abs/2302.09463
Autor:
Marcu, Ovidiu-Cristian, Bouvry, Pascal
Real-time Big Data architectures evolved into specialized layers for handling data streams' ingestion, storage, and processing over the past decade. Layered streaming architectures integrate pull-based read and push-based write RPC mechanisms impleme
Externí odkaz:
http://arxiv.org/abs/2211.05857
Strategic Decisions Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective
Strategic Decision-Making is always challenging because it is inherently uncertain, ambiguous, risky, and complex. It is the art of possibility. We develop a systematic taxonomy of decision-making frames that consists of 6 bases, 18 categorical, and
Externí odkaz:
http://arxiv.org/abs/2210.12373