Results 221 to 230 of about 229,925 (327)

When Allies Turn Foes: Exploring Group Characteristics of LLM-Based Multi-Agent Collaborative Systems Under Adversarial Attacks [PDF]

Jiahao Zhang, Bin Kan, Tao Gong, Fu Lee Wang, Tianyong Hao   +4 more
openalex   +1 more source

Subsidiary Prosecution in Adversarial System

Izvestiya of Altai State University, 2017
openaire   +2 more sources

Detection of obstetric anal sphincter injuries: From the fear of malpractice to a quality indicator of a center

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Obstetric anal sphincter injuries (OASIs) constitute a significant complication in vaginal childbirth, affecting up to 26% of deliveries and representing the leading cause of anal incontinence among women. Despite their prevalence and serious long‐term consequences, OASIs remain widely underreported, partly because of clinicians' hesitancy ...
Ruwan Fernando, Ewa Barcz, Antonino Spinelli, Renaud de Tayrac, Carlo Ratto, Stavros Athanasiou, Diaa Essameldin Ali Rizk, Andrea Stuart, Jan Baekelandt, Hynek Heřman, Petr Janku, Peter Rosenblat, Adam Dziki, Mariusz Grzesiak, Przemysław Oszukowski, Katarzyna Borycka, Stefano Salvatore   +16 more
wiley   +1 more source

Adversarial training for dynamics matching in coarse-grained models. [PDF]

J Chem Phys
Wang Y, Voth GA.
europepmc   +1 more source

Collaborative Optimisation of Grey‐Markov Modelling and Adversarial Meta‐Learning for Resilient Intelligent Transportation Systems

Jingli Jia, Jiqiang Zhang, Yongfang Zhu
openalex   +1 more source

Application of Artificial Intelligence in Clinical Microbiology: From Research to Practice

iLABMED, EarlyView.
This paper reviews the application of AI in clinical microbiology practice at home and abroad, including rapid pathogen identification, accurate characterization of microbial resistance patterns, optimization of laboratory workflows, and public health interventions.
Ting Ding, Yi‐Wei Tang, Xiaoke Hao
wiley   +1 more source

AI-driven cybersecurity framework for anomaly detection in power systems. [PDF]

Sci Rep
V M V, M P SH, Satheesh R, Das V, Padmanaban S.   +4 more
europepmc   +1 more source

MIXED AND HYBRID SYSTEMS OF JUSTICE AND THE DEVELOPMENT OF THE ADVERSARIAL PARADIGM: EUROPEAN LAW, INQUISITORIAL PROCESSES AND THE DEVELOPMENT OF COMMUNITY JUSTICE IN THE COMMON LAW STATES

, 2019
Tyrone Kirchengast
openalex   +1 more source

Adversarial-robust steganalysis system leveraging adversarial training and EfficientNet

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Thakwan Akram Jawad, Jamshid Bagherzadeh Mohasefi, Mohammed Salah Reda Abdelghany   +2 more
openaire   +1 more source

Artificial Intelligence Revolutionizes Anti‐Infective Drug Discovery: From Target Identification to Lead Optimization

iMetaMed, EarlyView.
Artificial intelligence (AI) technology is revolutionizing antimicrobial drug development. In response to increasingly severe antimicrobial resistance challenges, AI can efficiently predict pathogen evolutionary trends, identify potential drug targets, and accelerate compound design and optimization, thereby significantly shortening the development ...
Kexin Li, Quan Yuan, Chang Qi, Ying Shi, Hong Yang, Anqi Lin, Shuofeng Yuan   +6 more
wiley   +1 more source