Claude Sonnet 5 brings stronger agentic AI features, lower pricing, and updated safety protections. Here's what IT leaders ...
Abstract: In this paper a hybrid algorithm using fuzzy clustering techniques is presented. The algorithm is applied in a fault diagnosis scheme with online detection of novel faults and automatic ...
Regression learning is one of the long-standing problems in statistics, machine learning, and deep learning (DL). We show that writing this problem as a probabilistic expectation over (unknown) ...
In most applications, functional materials operate at finite temperatures and are in contact with a reservoir of atoms or molecules (gas, liquid, or solid). In order to understand the properties of ...
The critical inquiry of paintings is essentially comparative. This limits the number of artworks that can be investigated by an art expert in reasonable time. The recent availability of large ...
Abstract: This brief addresses two main issues of the standard kernel entropy component analysis (KECA) algorithm: the optimization of the kernel decomposition and the optimization of the Gaussian ...
The Common Spatial Pattern (CSP) algorithm is an effective and popular method for classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness depends on the ...
The packing of shapes has drawn the attention of humankind since ancient times. A Sanskrit work from 499 ad reveals the first-known mathematical study of the face-centred cubic arrangement of spheres ...
Images of the inside of the human body can be obtained noninvasively using tomographic acquisition and processing techniques. In particular, these techniques are commonly used to obtain images of a ...
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