Researchers at Adelaide University have developed a new type of robotic system inspired by bees and ants that could make ...
The stock markets contribute immensely to the growth of the economy. Stock price changes do not only show how companies are performing in financial terms, but they also determine the way people invest ...
Gradient-Free-Optimizers is a Python library for gradient-free optimization of black-box functions. It provides a unified interface to 23 optimization algorithms, from simple hill climbing to Bayesian ...
1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...
The increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. Traditional Particle Swarm Optimization (PSO) ...
Understanding concepts like computational loads, managing and optimizing drone swarm performance, swarm behavior, and related aspects (especially in defense applications) can initially seem daunting.
Department of Computer Sciences, Suez Canal University, Ismailia, Egypt. Analyzing big data, especially medical data, helps to provide good health care to patients and face the risks of death. The ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Two-dimensional (2D) semiconductors are central to many scientific fields. The ...
A mechanobiological computer optimization framework to design scaffolds to enhance bone regeneration
The treatment of large bone defects is a clinical challenge. 3D printed scaffolds are a promising treatment option for such critical-size defects. However, the design of scaffolds to treat such ...
We present two frameworks for design optimization of a multi-chamber pneumatic-driven soft actuator to optimize its mechanical performance. The design goal is to achieve maximal horizontal motion of ...
Traditional neural networks struggle to manage long and complex data sequences effectively. Incorporating an attention layer can enhance a model's ability to focus on important information. If we are ...
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