Generation of Facial Drawings Using Generative Adversarial Networks
Debabrata Datta +3 more
openalex +1 more source
Overcoming barriers that limit the impact of ecological research
Ecology and conservation researchers have diverse goals that often include both personal career aspirations and desires to enhance the well‐being of the natural world and its inhabitants. Perception of ecological research by ecologists typically involves a triad—linking goals, research, and impact.
Carlos Cano‐Barbacil +13 more
wiley +1 more source
Deeply supervised two stage generative adversarial network for stain normalization. [PDF]
Du Z +6 more
europepmc +1 more source
Artificial intelligence (AI) is revolutionizing food safety by enabling rapid detection, real‐time monitoring, and enhanced traceability. This review highlights recent advances, applications, and future directions for AI‐driven technologies in safeguarding the global food supply.
Anju Kanicheril Ambikalekshmi +4 more
wiley +1 more source
AGASI: A Generative Adversarial Network-Based Approach to Strengthening Adversarial Image Steganography. [PDF]
Fan H, Jin C, Li M.
europepmc +1 more source
Application of Artificial Intelligence in Clinical Microbiology: From Research to Practice
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
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 +6 more
wiley +1 more source
Personal health data protection and intelligent healthcare applications under generative adversarial network. [PDF]
Gao X, Mi W, Feng X.
europepmc +1 more source
Medical Data as a Key Asset in the Digital Health Era: A Framework for Challenges and Strategies
By conducting case studies and comparative analysis from a global perspective, this study develops the practical framework of Medical Data Element Ecosystem (MDEE)—one that facilitates MDEE construction by guiding actions, informing policy‐making, and enabling stakeholder engagement.
Jian Wang +10 more
wiley +1 more source
Adaptive Multiobjective Evolutionary Generative Adversarial Network for Metaverse Network Intrusion Detection. [PDF]
Xu D, Cao B.
europepmc +1 more source

