Results 201 to 210 of about 29,955 (264)
Microbial Colony Image Enhancement Algorithm Based on Composite Adversarial D-DCGAN Neural Network. [PDF]
Li W, Ge M, Sun J, Shi D, Jiang C.
europepmc +1 more source
ABSTRACT This article examines how a local environmental NGO in southern China transformed Guantouling Hill, once a prominent poaching hotspot along the East Asian–Australasian Flyway, into a recognised model of community‐based biodiversity conservation.
Zheng Lin, Miao Chen
wiley +1 more source
Adversarial-resilient lightweight phishing url detection: Evaluating lexical & metadata features under evasion techniques. [PDF]
Chaudhuri A, B M.
europepmc +1 more source
Using art history to explore society's changing connections with agriculture
Food insecurity is a looming challenge that especially affects those least fortunate. Consumer food choices have a substantial impact on the sustainability of current food systems. Here, we use art as a lens through which to consider our contemporary and historical relationship to one of the world's most crucial crops, the potato, in the context of the
Edward F. Hill‐King +2 more
wiley +1 more source
Large language models perpetuate bias in palliative care: Development and analysis of the Palliative Care Adversarial Dataset (PCAD). [PDF]
Akhras N +6 more
europepmc +1 more source
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley +1 more source
Adversarial dynamical systems characterize when data-driven learning succeeds or fails. [PDF]
Colbrook MJ, Mezić I, Stepanenko A.
europepmc +1 more source
Automatic insect identification, counting, and monitoring techniques: a review
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García +3 more
wiley +1 more source
Bayesian selective scan for robust long-horizon action recognition via reliability-aware discretization. [PDF]
Wang C.
europepmc +1 more source
ABSTRACT This study examines how Lean Six Sigma (LSS) currently functions in the U.S. textile and apparel industry after years of adoption and use. Moving beyond isolated project‐level evidence, this study investigates whether LSS has been implemented as an organizational capability and integrated into the corporate culture, adapted to textile‐specific
Alireza Vahedi Fakhr +2 more
wiley +1 more source

