|
|
|
|
|
Santiago Moreno-Carbonell and Eugenio F. Sánchez-Úbeda
The Linear Hinges Model (LHM) is an efficient approach to flexible and robust one-dimensional curve fitting under stringent high-noise conditions. However, it was initially designed to run in a single-core processor, accessing the whole input dataset. Th...
ver más
|
|
|
|
|
|
|
|
|
Vedat Dogan and Steven Prestwich
In a multi-objective optimization problem, a decision maker has more than one objective to optimize. In a bilevel optimization problem, there are the following two decision-makers in a hierarchy: a leader who makes the first decision and a follower who r...
ver más
|
|
|
|
|
|
|
|
|
Gleice Kelly Barbosa Souza, Samara Oliveira Silva Santos, André Luiz Carvalho Ottoni, Marcos Santos Oliveira, Daniela Carine Ramires Oliveira and Erivelton Geraldo Nepomuceno
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL). The integration of transfer learning (TL) with AutoRL in combinatorial optimization is an area that requir...
ver más
|
|
|
|
|
|
|
|
|
Vincenzo Manca
A symbolic analysis of Archimedes?s periodical number system is developed, from which a natural link emerges with the modern positional number systems with zero. After the publication of Fibonacci?s Liber Abaci, the decimal Indo-Arabic positional system ...
ver más
|
|
|
|
|
|
|
|
|
Burhan Ul Islam Khan, Khang Wen Goh, Mohammad Shuaib Mir, Nur Fatin Liyana Mohd Rosely, Aabid Ahmad Mir and Mesith Chaimanee
As the Internet of Things (IoT) continues to revolutionize value-added services, its conventional architecture exhibits persistent scalability and security vulnerabilities, jeopardizing the trustworthiness of IoT-based services. These architectural limit...
ver más
|
|
|
|