Knowing the state of trees and their associated risks contribute to the care of the population. Machine Learning, through supervised learning, has demonstrated its effectiveness in various areas of knowledge. the risk...
详细信息
Obtaining insights into the dynamic behavior of user code is crucial for supercomputing centers to support both better operation and co-design of future systems. To this end, always-on instrumentation is the key: enab...
详细信息
the Kapur entropy multilevel thresholding image segmentation algorithm based on the two-dimensional histogram does not consider the spatial contextual information of image pixels, and the algorithm’s time complexity ...
the Kapur entropy multilevel thresholding image segmentation algorithm based on the two-dimensional histogram does not consider the spatial contextual information of image pixels, and the algorithm’s time complexity increases exponentially withthe increase of the number of thresholds. To address the above problems, this paper proposes a 2D-Kapur entropy multilevel thresholding image segmentation algorithm based on an energy curve by using boththe neighborhood information and spatial contextual information of pixels. To improve the computational efficiency of the multilevel thresholding segmentation algorithm, a dynamic programming computational framework of the 2D-Kapur entropy multilevel thresholding algorithm based on the energy curve is constructed. the performance of the proposed algorithm is compared with several different image thresholding algorithms on the noise and complex images using several evaluation indexes. the experimental results verify the effectiveness of the proposed algorithm.
Symbolic regression is a machine learning method withthe goal to produce interpretable results. Unlike other machine learning methods such as, e.g. random forests or neural networks, which are opaque, symbolic regres...
详细信息
the increasing demands on the quality of microservice software, particularly regarding maintainability, necessitate the implementation of new and improved methods to enhance maintainability by improving event handling...
详细信息
ISBN:
(数字)9798331542634
ISBN:
(纸本)9798331542641
the increasing demands on the quality of microservice software, particularly regarding maintainability, necessitate the implementation of new and improved methods to enhance maintainability by improving event handling. this paper proposes an approach that improves event management by separating the general event processing logic and related dependencies from business logic, as well as defining contracts at the infrastructure level that specify which events and how they will be handled by a microservice. Unlike existing methods, this approach is adapted to the conditions of microservice architecture and the Clean Architecture approach, incorporating principles of dependency inversion and injection. Together, these elements enable an increase in software maintainability and overall quality.
Agriculture is an integral part of every economy with research in this domain mainly aimed at not only increasing food quality and production but also reducing expenditure while maximizing profit. Climate is a major f...
详细信息
In the last years, many robot kits for children were introduced. they can be used as an introduction to programming when pupils can learn many computing concepts - as a part of informatics or in STEAM subjects. But no...
详细信息
Subway timetabling problems are important but difficult discrete optimization problems that are usually solved with strict computational time requirements in order to minimize passenger waiting time while maximizing e...
Subway timetabling problems are important but difficult discrete optimization problems that are usually solved with strict computational time requirements in order to minimize passenger waiting time while maximizing energy-saving profits. To obtain high-quality solutions, a promising direction is to formulate the problems as Mixed Integer Linear programming (MILP) problems, thereby taking advantage of widely available MILP methods such as Branch-and-Cut (B&C). However, based on existing MILP formulations, the computational efforts required by MILP methods are high because of the large numbers of decision variables and constraints. In this paper, we develop a novel MILP formulation for optimizing subway timetables. In the formulation, train arrival times are formulated by using decision variables of two types: continuous variables for formulating energy-saving profits and binary variables for formulating passenger waiting time. Compared to existing formulations, the proposed formulation has far fewer decision variables and constraints. Numerical testing results show that high-quality solutions are efficiently obtained using B&C in reasonable time.
We consider a practical extension of the classical dial-a-ride problem (DARP) called the electric autonomous DARP where electric and autonomous vehicles provide service for transportation requests with time windows. T...
详细信息
暂无评论