Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...
Target detection in an unknown environment is a crucial aspect of reconnaissance using a swarm of unmanned aerial vehicles (UAVs). An efficient target detection technique is required to minimize the ...
Abstract: Currently, traditional maritime vessel energy structures are singular, resulting in significant greenhouse gas emissions. Hybrid energy management of ship microgrids is a high-dimensional, ...
Abstract: The flexible job shop scheduling problem is a typical NP-hard problem, which has strong guiding significance for production scheduling in enterprises. In this paper, we propose an improved ...
Abstract: This study challenged the idea that a single optimal algorithm exists for Procedural Content Gener-ation. This emphasises the crucial role of task-specific considerations in determining the ...
Government News is Australia’s independent online publication reporting on government in Australia. We provide independent coverage of local, state and federal government and their administration of ...
Abstract: In order to implement intelligent transportation systems effectively, precise and up-to-date data on traffic flows is crucial. To have officially entered the age of big data in ...
Abstract: With the increasing demand of high-precision data acquisition card in application, noise suppression in the process of signal acquisition becomes very important. The existence of noise will ...
Abstract: Multiple power peaks are introduced under nonuniform irradiation conditions in photovoltaic (PV) systems. However, conventional maximum power point tracking (MPPT) algorithms, such as the ...
Abstract: To improve the convergence capability of ant colony routing in LEO satellite networks, a novel hybrid ant colony-sparrow search optimization routing algorithm is proposed. The sparrow ...
Google has rolled out fewer confirmed search ranking updates in 2025, then it did in all the past years where Google confirmed these updates. Google rolled out only four confirmed updates in 2025, ...
Abstract: Many-core neuromorphic integrated circuits (ICs) have the potential advantages of low power consumption, high parallelism, etc. for the edge computing of deep learning. A key problem in the ...