Abstract: With the continuous development of Internet of Things, data transmission presents an exponential rising trend. Due to the limited energy storage and low transmission power of sensor nodes, ...
Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...
In this paper a new hybrid glowworm swarm algorithm (SAGSO) for solving structural optimization problems is presented. The structure proposed to be optimized here is a simply-supported concrete I-beam ...
Identifying relevant information embedded within a constant and noisy background is a challenge faced by many sensory systems in the brain. Habituation—the reduction in responsiveness to repeated, ...
Although building a large practical quantum computer is still a long-term project, over the past two decades researchers have made great progress in building rudimentary quantum hardware and in ...
In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...
Abstract: Inertia weight is one of the most important parameters of particle swarm optimization (PSO) algorithm. Based on the basic idea of decreasing inertia weight (DIW), two strategies of natural ...
TOC can not only generate gas but also provide the main space for gas storage. The structure of the organic matters within the connected and isolated pore network is essential for gas storage capacity ...
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