Sparse Neural Networks (SNNs) have emerged as powerful tools for efficient feature selection. Leveraging the dynamic sparse training (DST) algorithms within SNNs has demonstrated promising feature selection capabiliti...
K-nearest neighbors (kNN) is a popular machine learning algorithm because of its clarity, simplicity, and efficacy. kNN has numerous drawbacks, including ignoring issues like class distribution, feature relevance, nei...
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We investigate the work function U(T) for the Heider balance, driven by a thermal noise T, on several planar networks that contain separated triangles, pairs of triangles, chains of triangles, and complex structures o...
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We investigate the work function U(T) for the Heider balance, driven by a thermal noise T, on several planar networks that contain separated triangles, pairs of triangles, chains of triangles, and complex structures of triangles. In simulations, the heat-bath algorithm is applied. Two schemes of link values updating are considered: synchronous and asynchronous (sequential). The latter results are compared with analytical calculations for small cliques. We argue that the actual shape of U(T) is a consequence of a local topology rather than of a macroscopic ordering. Finally, we present the mathematical proof that for any planar lattice, perfect structural (Heider) balance is unreachable at T>0.
In recent years, a variety of new frameworks streamlining the process of agent-based modeling has emerged. These frameworks serve different purposes and each offers a unique set of features. In this practical comparat...
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In the case of standalone houses, ensuring a continuous and regulated power supply from renewable sources is crucial. To address their unpredictable nature, an environmentally conscious hybrid renewable energy system ...
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We calculate the baryon number cumulants within acceptance with short-range correlations and global baryon number conservation in terms of cumulants in the whole system without baryon conservation. We extract leading ...
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We calculate the baryon number cumulants within acceptance with short-range correlations and global baryon number conservation in terms of cumulants in the whole system without baryon conservation. We extract leading and next-to-leading order terms of the large baryon number limit approximation. These approximations are checked to be very close to the exact results.
In relativistic heavy-ion collisions, the longitudinal fluctuations of the fireball density caused, e.g., by fluctuations in the number of stopped baryons result in event-by-event modifications of the shape of the pro...
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In relativistic heavy-ion collisions, the longitudinal fluctuations of the fireball density caused, e.g., by fluctuations in the number of stopped baryons result in event-by-event modifications of the shape of the proton rapidity density distribution. The multiparticle rapidity correlation functions due to the varying distribution width of the proton rapidity density in central Au+Au collisions at low energies are derived. The cumulant ratios are calculated and discussed in the context of the recent STAR Collaboration results. We find that for small fluctuations in the width of the proton rapidity distribution, the cumulant ratios are independent of the underlying width distribution. It is also emphasized that the cumulant ratios strongly depend on the size of the rapidity interval.
This article presents a description of research that has led to the development of a new design permanent magnet machine. The machine is based on the operational principle of the transverse-flux machine (TFM). In the ...
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Light-by-light scattering (LbyL, γγ → γγ) is a very rare and interesting phenomenon, impossible to measure in standard hadronic lead-lead collisions. Its final state consists of a low-energetic pair of photons wi...
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The complexity of high-quality 3D digitised cultural heritage objects creates challenges for existing data management systems as they need to develop metadata management and processing capabilities to provide semantic...
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