The Mahler measure was introduced by Mahler in the study of number theory. It is known that the Mahler measure appears in different areas of math.matics and physics. On the other hand, we have been investigated a new ...
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We introduce a generalized Grover matrix of a graph and present an explicit formula for its characteristic polynomial. As a corollary, we give the spectra for the generalized Grover matrix of a regular graph. Next, we...
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We give a fresh account of the astonishing interplay between abelian von Neumann algebras, L∞-spaces and measure algebras, including an exposition of Maharam’s theorem from the von Neumann algebra *** Codes Primary:...
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One of the most effective ways to help patients at the dangerous levels of diabetes is an artificial pancreas, a device that constantly monitors the patient's blood sugar level and injects insulin based on this le...
One of the most effective ways to help patients at the dangerous levels of diabetes is an artificial pancreas, a device that constantly monitors the patient's blood sugar level and injects insulin based on this level. Patient's reaction to insulin is highly individualized, so the artificial pancreas needs to be trained on each patient. It turns out that the best training results are attained when instead of the usual ReLU neurons, we use their minor modification known as Exponential Linear Units (ELU). In this paper, we provide a theoretical explanation for the empirically observed effectiveness of ELUs.
Proper recitation of the Quran, adhering to the rules of Tajweed, is crucial for preventing mistakes during recitation and requires significant effort to master. Traditional methods of teaching these rules are limited...
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The nanocrystalline hydroxyapatite was synthesized from Labeo Rohita fish scales by calcination of raw scales at temperatures ranges from 400 to 1000 °C. The synthesized powders were characterized using, X-r...
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Single-molecule magnets (SMMs) with chemically tailorable properties are potential building blocks for quantum computing, high-density magnetic memory, and spintronics.1 2 3,4 These applications require isolated or fe...
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We consider the existence of the topological entropy of shift spaces on a finitely generated semigroup whose Cayley graph is a tree. The considered semigroups include free groups. On the other hand, the notion of stem...
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Combinatorial thinking skills are needed in the technological era. Combinatorial thinking skills are essential in many fields, including math.matics, computerscience, and statistics. Combinatorial thinking consists o...
Combinatorial thinking skills are needed in the technological era. Combinatorial thinking skills are essential in many fields, including math.matics, computerscience, and statistics. Combinatorial thinking consists of five indicators: identifying various problems, understanding problem patterns, applying math.matical patterns, math.matical proof, and considering various combinations of problems. These indicators can be achieved by honing higher-order thinking skills. However, students’ combinatorial thinking skills are still relatively low. One of the reasons for this low ability is that the learning model applied so far has not developed this ability adequately. Therefore, this study will use a research-based learning (RBL) model integrated with a STEM approach to solve local antimagic coloring (a,d) in solving vertical farming problems with artificial neural network techniques. While the local antimagic (a,d)-edge coloring of G if the set of edge colors form an arithmetic sequence with different initial values of a and d. The local antimagic (a,d)-edge chromatic number χ^’ le(G) is the minimum number of colors required to color G such that the graph G satisfies the local antimagic (a,d)-edge coloring. This type of research uses qualitative methodology. This research will formulate syntax to develop learning activities using research-based learning (RBL) and STEM approach, by including assessment indicators for digital marketing literacy skills. The results show six stages of learning activities as a framework for developing RBL-STEM learning materials. Recommendations for further research related to the development of tools and analysis of RBL-STEM implementation
The manifold scattering transform is a deep feature extractor for data defined on a Riemannian manifold. It is one of the first examples of extending convolutional neural network-like operators to general manifolds. T...
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