Backward Q-learning: The combination of Sarsa algorithm and Q-learning Yin-Hao Wang; Tzuu-Hseng S. Li; Chih-Jui Lin 2013 2013, vol.26, no.9 Using the BCD model for risk analysis: An influence diagram based approach Karima Sedki; Philippe Polet; Frederic Vanderhaegen 2013 2013, vol.26,...
A journal of IFAC, the International Federation of Automatic Control Artificial Intelligence (AI) is playing a major role in the fourth industrial revolution and we are seeing a lot of evolution in various machine learning methodologies. AI techniques are widely used by the practicing engineer to ...
Earlier studies of the latter field by others used a two-stage process consisting of separate topological and geometrical optimization and considered only a very small number of members. It will be shown here that the COC algorithm achieves a simultaneous optimization of the topology and geometry ...
The secure hash algorithm with a digest size of 256 bits, or the SHA 256 algorithm, is one of the most widely used hash algorithms.
select article Optimization of reward shaping function based on genetic algorithm applied to a cross validated deep deterministic policy gradient in a powered landing guidance problem Research articleAbstract only Optimization of reward shaping function based on genetic algorithm applied to a cross ...
In the context of quantum technologies, the generation and manipulation of single photons has become a key element for applications such as quantum communication and quantum computing, as well as quantum metrology, biology and experiments probing the foundations of quantum physics discussed in an accomp...
Abbassi A, Abbassi R, Dami MA, Jemli M (2018) Multi-objective genetic algorithm based sizing optimization of a stand-alone wind/PV power supply system with enhanced battery/supercapacitor hybrid energy storage. Energy 163:351–363 Google Scholar ...
The SMA algorithm was invented due to the fluctuating behavior of slime mold in nature. It has several new features with a unique mathematical model that uses adaptive weights to simulate the biological wave. It provides an optimal pathway for connecting food with high exploration and exploitation ...
TRIPO is a generative foundation model launched by VAST at the end of 2023. TRIPO leads the world in terms of generation quality, speed, cost, and success rate. Currently, it can generate mesh models with clean wireframes and smooth geometry in 8 seconds, which can be integrated into the ...
Machine learning approaches have been applied to the study of neurodegenerative diseases and show promise in the areas of early diagnosis, prognosis and development of new therapies. A substantial number of machine learning algorithms exist, and choosing the correct algorithm to apply to different types...