We also introduce an algorithm to improve a plan's concurrency by optimizing resource utilization through substitutions of the plan's subplans with respect to the corresponding planning task. Our algorithm employs block deordering that eliminates orderings in a POP by encapsulating coherent actions in...
Partial order techniques attempt to alleviate the state explosion problem by constructing a reduced state space to be searched by the model checking algorithm. Originally introduced in the context of untimed models, they have been expanded to handle real time systems[Yoneda and Schlingloff 1997, Sl...
(SOTA) deep learning algorithms. In this paper, we present a new interactive deep learning segmentation algorithm,ImPartial, that incorporates human feedback during the training phase to create optimal models for images with small/thin repeatable objects (cells, neurons, vessels, etc). Specifically,...
Thus, we define a safe partial-order reduction as follows. 13 210 Real-Time Systems (2023) 59:201–255 Algorithm 4: construcƟng a safe reducƟon set Step 1. Form an iniƟal candidate reducƟon set (using DefiniƟon 2) Step 2. Are there other jobs that can potenƟally ...
Secondly, the tool structure was developed, in which the overall functioning of the tool was described and compiled, including the establishment of the different modules which make up the tool and the connections between them. The purpose of the tool was to allow the partial order analyses to ...
In ref.42,43, A new MPPT technique, utilizing the Particle Swarm Optimization (PSO) algorithm, is introduced. This technique instantly evaluates the duty cycle, eliminating the necessity for PI control loops. It effectively addresses the limitations of conventional direct control methods, especially ...
Hence, in this research, RF algorithm is used for predictive analysis. The performance of RF is also compared with 7 other classifiers namely KNN, SVM, CNN, LDA, naive Bayes (NB), LR, and a decision tree algorithm known as CART. CNN, SVM, decision trees and deep learning techniques ...
In addition, black-box structures make knowledge hard to understand [23]. Least squares support vector machine (LSSVM) is another common nonlinear regression algorithm which is improved based on the support vector machine (SVM). The core idea is to map low-dimensional nonlinear problems to ...
. Then, oil samples were taken and analyzed before and after each scenario—generally, no significant adjustments in the oil properties have been observed. Furthermore, in order to make the results reliable and comparable special attention was paid to the measurement conditions. Constant environmental...
如今,我们在八十年代遇到的应用已经成为 Microsoft 365 的一部分,而且更胜以往——有 AI 增强功能,还有高级安全性和云存储空间。 购买Microsoft 365 游戏需要变革者 2001 年发布了 Xbox,从此开启了我们主机游戏的集体征程。你戴上耳机,拿起控制器,在 Xbox 360、Kinect 和 Xbox O...