Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Blockchain for AI: Review and open research challenges
Recently, artificial intelligence (AI) and blockchain have become two of the most trending
and disruptive technologies. Blockchain technology has the ability to automate payment in …
and disruptive technologies. Blockchain technology has the ability to automate payment in …
Systematic review on ai-blockchain based e-healthcare records management systems
Electronic health records (EHRs) are digitally saved health records that provide information
about a person's health. EHRs are generally shared among healthcare stakeholders, and …
about a person's health. EHRs are generally shared among healthcare stakeholders, and …
Artificial intelligence in industrial design: A semi-automated literature survey
In the era of industry 4.0, artificial intelligence (AI) may potentially be used to provide
reasoning and decision support on engineering and technical challenges. The role of AI in …
reasoning and decision support on engineering and technical challenges. The role of AI in …
Artificial intelligence and blockchain: A review
It is irrefutable that blockchain and artificial intelligence (AI) paradigms are spreading at an
incredible rate. The two paradigms have distinctive level of innovative nature and …
incredible rate. The two paradigms have distinctive level of innovative nature and …
Distributed stochastic algorithm based on enhanced genetic algorithm for path planning of multi-UAV cooperative area search
Multiple unmanned aerial vehicle (Multi-UAV) cooperative area search is an important and
effective means of intelligence acquisition and disaster rescue. Search path planning is a …
effective means of intelligence acquisition and disaster rescue. Search path planning is a …
[HTML][HTML] A review of classical methods and Nature-Inspired Algorithms (NIAs) for optimization problems
PK Mandal - Results in Control and Optimization, 2023 - Elsevier
Optimization techniques are among the most promising methods to deal with real-world
problems, consisting of several objective functions and constraints. Over the decades, many …
problems, consisting of several objective functions and constraints. Over the decades, many …
Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning
T Lazebnik - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Hospital staff and resources allocation (HSRA) is a critical challenge in healthcare systems,
as it involves balancing the demands of patients, the availability of resources, and the need …
as it involves balancing the demands of patients, the availability of resources, and the need …
Efficient quantum algorithm for solving travelling salesman problem: An IBM quantum experience
The famous Travelling Salesman Problem (TSP) is an important category of optimization
problems that is mostly encountered in various areas of science and engineering. Studying …
problems that is mostly encountered in various areas of science and engineering. Studying …
A decentralized multi-agent framework for urban flood management
The management of water resources in urban environments is challenging due to the
existence of numerous stakeholders and the large number of affected people. In this paper …
existence of numerous stakeholders and the large number of affected people. In this paper …
Local Search-based Anytime Algorithms for Continuous Distributed Constraint Optimization Problems
Dear Editor, The distributed constraint optimization problems (DCOPs)[1]–[3] provide an
efficient model for solving the cooperative problems of multiagent systems, which has been …
efficient model for solving the cooperative problems of multiagent systems, which has been …