funded under the Horizon Europe AI4CYBER Project;which has received funding from the European Union’s Horizon Europe Research and Innovation Programme under grant agreement No.101070450.
The growing sophistication of cyberthreats,among others the Distributed Denial of Service attacks,has exposed limitations in traditional rule-based Security Information and Event Management systems.While machine learn...
funded by the National Natural Science Foundation of China(Grant No.52378008);the Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX24_0418).
This paper presents a rule-based procedural generation approach for layout designby design knowledge encoding. Taking linear shopping centres as example, the proposedmethod encodes the layout design elements of the wa...
We propose an approach to learning sample embedding for analyzing multi-dimensional datasets.The basic idea is to extract rules from the given dataset and learn the embedding for each sample based on the rules it sati...
This paper presents a rule-based framework for addressing decision-making problems within the context of the "UI-STRIVE"Competition.First,two distinct autonomous confrontation scenarios are described:autonomous air co...
supported by the National Natural Science Foundation of China(Grant No.51677058)。
To address the impact of wind-power fluctuations on the stability of power systems,we propose a comprehensive approach that integrates multiple strategies and methods to enhance the efficiency and reliability of a sys...
supporting this work under Contracts No.MOST 110-2410-H-034-011 and MOST 110-2410-H-034-009,and 13th five-year plan of philosophy and social sciences of Guangdong Province,under Grants No.GD18CLJ02 and Department of education of Guangdong Province,China,No.2020WTSCX139.
A broad range of companies around the world has welcomed artificial intelligence(AI)technology in daily practices because it provides decision-makers with comprehensive and intuitive messages about their operations an...
This work was supported by the Competence Centre for Cognitive Energy Systems of the Fraunhofer IEE and the research group Rein-forcement Learning for cognitive energy systems(RL4CES)from the Intelligent Embedded Systems of the University Kassel.
The operation of electricity grids has become increasingly complex due to the current upheaval and the increase in renewable energy production.As a consequence,active grid management is reaching its limits with conven...
supported by the China Fundamental Research Funds for the Central Universities(2022JBQY006)。
Real-time train rescheduling plays a vital role in railway transportation as it is crucial for maintaining punctuality and reliability in rail operations.In this paper,we propose a rescheduling model that incorporates...
supported in part by the National Natural Science Foundation of China(NSFC)(No.61972365,42071382);in part by the CCF-NSFOCUS Kun-Peng Scientific Research Fund(CCFNSFOCUS 2021002);in part by the Natural Science Foundation of Hubei Province,China(No.2020CFB752);in part by the Open Research Project of the Hubei Key Laboratory of Intelligent GeoInformation Processing(No.KLIGIP-2021B01,KLIGIP-2018B02).
Researchers utilize information from the geoscience literature to deduce the regional or global geological evolution.Traditionally this process has relied on the labor of researchers.As the number of papers continues ...
supported by the National Natural Science Foundation of China(Grant No.61803309);the New Concept Air Combat Weapon Technology Innovation Workstation(Grant No.20-163-00-GZ-016-001-01);the Aeronautical Science Foundation of China(Grant Nos.019ZA053008 and 20185553034);the CETC Key Laboratory of Data Link Technology Open Project Fund(Grant No.CLDL-20202101 2)。
The rapid increase in the number of unmanned aerial vehicles(UAVs) poses a threat to the safety of personnel, ground facilities,and aircraft. Therefore, as the basis of UAV safety protection, requirements on collision...