Results 151 to 160 of about 10,225 (242)

Enhancing age and gender verification in OTT accounts using deep learning techniques. [PDF]

Front Artif Intell
Sanjay M, Manoj P, Graceline Jasmine S, Sriganth R, Febin Daya JL, Russel B.   +5 more
europepmc   +1 more source

Multimodal Deep Learning‐Assisted Microstructural Evaluation System for Sintered NdFeB Magnets

Rare Metals, Volume 45, Issue 8, August 2026.
ABSTRACT The performance of sintered NdFeB magnets, especially coercivity, is critically determined by their complex microstructure. However, a quantitative microstructural evaluation system (MES) is much needed but has long been missing in the community.
Zihao Wang, Shengen Guan, Xiaoqian Bao, Yalin He, Chuan Ji, Lai Wei, Yue Shen, Jiheng Li, Xuexu Gao   +8 more
wiley   +1 more source

3DLF-Scan dataset: Multi-sensor 3D light-field and structured-light scans of 3D-printed Stanford figures. [PDF]

Data Brief
Vodianyk B, Popov A, Nava-Baro E.
europepmc   +1 more source

Physical Anchoring‐Assisted Mechanically Guided Assembly for Material‐Independent 3D Mesostructures

Small, Volume 22, Issue 44, 7 August 2026.
Conventional mechanically guided 3D assembly relies on selective chemical bonding between 2D precursors and elastomeric substrates, imposing fundamental limitations on material compatibility and scalability. Here, we present a physically anchored, buckling‐guided assembly platform based on a rod array patterned elastomeric substrate (RPES).
Yeonhee Heo, Pei Liu, Jeongmin Yoo, Jae Hyuk Hwang, Gooyoon Chung, Dong‐Gyun Kim, Raudel Avila, Yoonseok Park   +7 more
wiley   +1 more source

Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection. [PDF]

Dev Sci
Nikolov TY, Yurkovic-Harding J, Foldes T, Bradshaw J, Lai YK, D'Souza H.   +5 more
europepmc   +1 more source

Alteration of Phase Transformation Behavior and Prior Austenite Grain Structure Due to Elevated Tramp Element Concentrations in a Hypoeutectoid Steel

steel research international, Volume 97, Issue 8, Page 4293-4305, August 2026.
The phase transformation behavior of a hypoeutectoid steel is studied in comparison with alloys containing higher concentrations of tramp elements, simulating high recycling rates. The examination of microstructures reveals that the tramp elements facilitate the formation of displacive phases along with retained austenite.
Lukas Hatzenbichler, Marek Gocnik, Phillip Haslberger, Matthew Galler, Andreas Stark, Oleksandr Glushko, Jozef Keckes, Ronald Schnitzer   +7 more
wiley   +1 more source

An Efficient Lightweight Object Detection Algorithm for Defect Identification in <i>Paeoniae Radix Alba</i> With Rapid Area and Diameter Estimation Using OpenCV. [PDF]

Food Sci Nutr
Huan M, Wang T, Xu Q, Gao L, Lu Z, Shi X, Qian M, Jia L, Yao C.   +8 more
europepmc   +1 more source

Preconditioning of Polynya Formation by Ocean Mixing at Maud Rise, Antarctica

Journal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.
Abstract Antarctic open‐ocean polynyas trigger vigorous wintertime convection, influencing ocean circulation and atmospheric processes. In the Weddell Sea, interaction between the Weddell Gyre and the Maud Rise seamount generates a Taylor column that favors polynya formation.
Xingchi Wang, Alberto C. Naveira Garabato, Bieito Fernández Castro, Xin Wang, Sebastiaan Swart, Marcel Du Plessis, Aditya Narayanan, Alessandro Silvano, Louis Clément, Margaret Ruth Lindeman   +9 more
wiley   +1 more source

Optimising Camera-ChArUco Geometry for Motion Compensation in Standing Equine CT: A CT-Motivated Benchtop Study. [PDF]

Sensors (Basel)
Aliani C, Lorenzetto Bologna C, Francia P, Bocchi L.   +3 more
europepmc   +1 more source

Limitations of ITA for Skin Type Estimation Under Uncontrolled Imaging Conditions

Skin Research and Technology, Volume 32, Issue 8, August 2026.
ABSTRACT Background Accurately assessing skin color diversity is essential for evaluating whether image datasets without explicit skin type labels are sufficiently diverse for training deep learning models. Traditional methods, such as the Fitzpatrick scale, categorize skin types into six discrete classes but may not fully capture the complexity of ...
Neda Alipour, Ted Burke, Jane Courtney
wiley   +1 more source