Results 71 to 80 of about 32,458 (271)
In hyperspectral image (HSI) classification scenarios, deep learning-based methods have achieved excellent classification performance, but often rely on large-scale training datasets to ensure accuracy. However, in practical applications, the acquisition
Jinghui Yang +4 more
doaj +1 more source
This study clarifies the genetic patterns of paternal lineages across East Asia and Mainland Southeast Asia. Han populations are relatively homogeneous, whereas southern ethnolinguistic minorities display regional structures. Shared Y‐chromosome lineages indicate Neolithic expansions and extensive north‐south gene flow, supporting demic diffusion ...
Yunhui Liu +15 more
wiley +1 more source
Hardware Trojans (HTs) are hidden threats embedded in the circuitry of integrated circuits (ICs), enabling unauthorized access, data theft, operational disruptions, or even physical harm.
Abdurrahman Nasr +3 more
doaj +1 more source
Infrared Multi-Pedestrian Tracking in Vertical View via Siamese Convolution Network
Target tracking has become one of the research hotspots in the field of computer vision in recent years. In this paper, a new intelligent algorithm of infrared multi-pedestrian tracking in vertical view is proposed.
Guojiang Shen +5 more
doaj +1 more source
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao +14 more
wiley +1 more source
This study develops a hierarchically porous hydrogel patch strategy (HPMP), based on gas‐shearing microfluidics and an aqueous two‐phase system to fabricate porous microgels as microgel‐based bioinks. The porous microgels with controllable porous structure exhibit excellent cellular behavior.
Ziyang Liu +13 more
wiley +1 more source
Bird Detection using Siamese Neural Network
The proposed system uses deep neural networks for identifying bird species. The model will be trained on bird images that are coming in the endangered species category. The application can also handle new data points, unlike existing systems that require model re-training for accommodating new data.
Rushil Gupta* +2 more
openaire +1 more source
This review summarizes green and low‐carbon strategies throughout the entire life cycle of polyester plastics, including sustainable monomer synthesis, optimization polymerization, efficient recycling, and advanced upcycling technologies. The synergistic implementation of these strategies is expected to significantly promote the development of a ...
Jinzhou Li +5 more
wiley +1 more source
Anomaly Detection Using Siamese Network with Attention Mechanism for Few-Shot Learning
Automated inspection using deep-learning has been attracting attention for visual inspection at the manufacturing site. However, the inability to obtain sufficient abnormal product data for training deep- learning models is a problem in practical ...
Hironori Takimoto +3 more
doaj +1 more source
Face Recognition with Siamese Networks
Abstract Face recognition method is a common problem in modern Internet life. In this paper, face recognition will be designed based on Siamese network. The traditional methods have some problems, such as being greatly affected by environmental factors, insufficient processing of individual differences, lack of robustness and ...
Yuxin Niu, Zhongsheng Wang
openaire +1 more source

