Results 41 to 50 of about 3,957 (194)

Bearing fault diagnosis method based on improved Siamese neural network with small sample

Journal of Cloud Computing: Advances, Systems and Applications, 2022
Fault diagnosis of rolling bearings is very important for monitoring the health of rotating machinery. However, in actual industrial production, owing to the constraints of conditions and costs, only a small number of bearing fault samples can be ...
Xiaoping Zhao, Mengyao Ma, Fan Shao
doaj   +1 more source

Correcting Apparent Priming Bias Unveils Fertilizer Nitrogen‐Risk Archetypes of Surplus and Depletion Across Asian Rice Systems

Advanced Science, EarlyView.
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu, Siyuan Cai, Longlong Xia, Jagdish K. Ladha, Xiaoyuan Yan, Xu Zhao   +5 more
wiley   +1 more source

FACE RECOGNITION WITH SIAMESE NEURAL NETWORKS

Journal of Problems in Computer Science and Information Technologies
The development of face recognition technologies has become increasingly critical due to the growing need for effective identification methods. Traditional techniques often struggle with variations in illumination, pose, and facial expressions, limiting
Bolatzhan Kumalakov, Saltanat Zhumagalieva   +1 more
doaj   +1 more source

Large‐Area Noise‐Resilient Multiplexing Triboelectric Biomechanical Sensing on Clothing for High‐Precision Full‐Body Motion Capture in Wearables

Advanced Science, EarlyView.
A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao, Ming‐Han Lu, Wei‐Chen Peng, Wei‐Chun Yang, Yi‐Ting Chen, Jiun‐Wei Fong, Tzu‐Ching Lu, Tai‐Chen Wu, Zhi‐Xian Yan, Kai‐Yuan Hsiao, Jiann‐Yeu Chen, Ming‐Yen Lu, Heng‐Jui Liu, Ruiyuan Liu, Ying‐Chih Lai   +14 more
wiley   +1 more source

From Flexible to Conformable Pressure Sensors: Mechanisms, Materials, and Biomedical Applications

Advanced Electronic Materials, EarlyView.
This review highlights recent progress, challenges and future opportunities in pressure sensing for advanced biomedical applications. We summarize key transduction mechanisms and emerging material strategies, discuss representative wearable and implantable applications for continuous physiological monitoring and provide a focused perspective on barrier
Rishabh B. Mishra, Andrea Ottomaniello, Virgilio Mattoli   +2 more
wiley   +1 more source

AISMSNet: Advanced Image Splicing Manipulation Identification Based on Siamese Networks

Applied Sciences
The exponential surge in specialized image editing software has intensified visual forgery, with splicing attacks emerging as a popular forgery technique.
Ana Elena Ramirez-Rodriguez, Rodrigo Eduardo Arevalo-Ancona, Hector Perez-Meana, Manuel Cedillo-Hernandez, Mariko Nakano-Miyatake   +4 more
doaj   +1 more source

A Siamese Network Based U-Net for Change Detection in High Resolution Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Remote sensing image change detection (RSICD) is a technique that explores the change of surface coverage in a certain time series by studying the difference between multiple remote sensing images (RSIs) collected over the same area.
Tao Chen, Zhiyuan Lu, Yue Yang, Yuxiang Zhang, Bo Du, Antonio Plaza   +5 more
doaj   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Segmental composition and nerve distribution of the brachial plexus in Galictis cuja

The Anatomical Record, EarlyView.
Abstract Galictis cuja is a neotropical mustelid with terrestrial locomotor habits, yet the anatomy of its brachial plexus has remained undescribed. This study characterizes the origin, organization, and distribution of the brachial plexus nerves in 15 adult specimens (30 antimeres).
Natan da Cruz de Carvalho, Thais Mattos Estruc, Ingrid Bete Palmeira, Julia Fagundes Franco, Emillin Reis Bermudez, Paulo de Souza‐Junior, Marcelo Abidu‐Figueiredo   +6 more
wiley   +1 more source

Phantom citations: An empirical study of non‐existent and unverifiable references in scholarly literature

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han, Sathiamoorthy Manoharan, Xinfeng Ye, Ulrich Speidel   +3 more
wiley   +1 more source