Results 71 to 80 of about 58,524 (307)
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Безопасность информационных технологий, 2015 A selection task of network security systems in accordance with information security policies is a topical network security concern due to increasing number of information security policies in computer networks and increasing complexity of network ...
Dmitry Sergeevich Chernyavskiy
doaj
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Methods for Selection of Network Security Systems in accordance with Information Security Policies
Безопасность информационных технологий, 2015 Selection of network security systems (NSS) that are sufficient for implementation of information security (IS) policies is one of the major steps of IS policy management process.
Dmitry Sergeevich Chernyavskiy
doaj
Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions
Advanced Intelligent Systems, EarlyView.This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen +4 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Security sector reform in Latin America. Mapping citizen security through social network analysis
América Latina Hoy, 2019 In this article, we highlight the formation of a global policy network on citizen security, which is a concept that has spread all over Latin America since the beginning of the 1990s.
Nordin LAZREG
doaj +1 more source
The Implementation of Policy Management Tool Based on Network Security Policy Information Model [PDF]
, 2002 Geon Lyang Kim +2 more
openalex +1 more source
UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment
Advanced Intelligent Systems, EarlyView.In this article, an unsupervised learning‐based predictive path planning framework UP3 for mobile robots is introduced. The framework employs attention‐based path optimization, control barrier functions, and a deep constraint correction module. UP3 allows the robot to use local observation to generate smooth, safe, and collision‐free path points toward
Jianing Luo +4 more
wiley +1 more source
Security Policy Negotiation Model Design for Secure Network Management [PDF]
, 2004 Jinho Park, Jinwook Chung
openalex +1 more source