As with the non-inline versions, it is important to use the macro wrappers for inline functions instead of directly calling the functions themselves. Data Structures === Min-Heap Definition --- The core data structure for representing a min-heap is defined using the **MIN_HEAP_PREALLOCATED*...
Rather, this Summary is provided to introduce—in a simplified form—some technical concepts that are further described below in the Detailed Description. The innovation is defined with claims, and to the extent this Summary conflicts with the claims, the claims should prevail. DESCRIPTION OF THE ...
set of inline versions for performance-critical scenarios. These inline functions have the same names as their non-inline counterparts but include an **_inline** suffix. For example, **__min_heap_init_inline** and its corresponding macro wrapper **min_heap_init_inline**. The inline versions...
Versions Notes Abstract In this article, we investigate the nonlinear model describing the various physical and chemical phenomena named the Kuramoto–Sivashinsky equation. We implemented the natural decomposition method, a novel technique, mixed with the Caputo–Fabrizio (CF) and Atangana–Baleanu deria...
Versions Notes Abstract Two-sample and independence tests with the kernel-based mmd and hsic have shown remarkable results on i.i.d. data and stationary random processes. However, these statistics are not directly applicable to nonstationary random processes, a prevalent form of data in many scien...
Versions Notes Abstract Two-sample and independence tests with the kernel-based mmd and hsic have shown remarkable results on i.i.d. data and stationary random processes. However, these statistics are not directly applicable to nonstationary random processes, a prevalent form of data in many scien...
Versions Notes Abstract Convolutional neural networks (CNN) have achieved excellent results in the field of image recognition that classifies objects in images. A typical CNN consists of a deep architecture that uses a large number of weights and layers to achieve high performance. CNN requires relat...
Versions Notes Abstract Efficient and robust evaluation of kernel processing from corn silage is an important indicator to a farmer to determine the quality of their harvested crop. Current methods are cumbersome to conduct and take between hours to days. We present the adoption of two deep learnin...